hack/tools/scripts/llm-key-hunter/results/_cache/content/1wanganshi_baize-fast-mix-video.json

{"repo": "1wanganshi/baize-fast-mix-video", "files": {"webui/Main.py": {"39fd46106e09f4c3de66282a378fdf61ac9d5e53": {"t": 1785595162.3623326, "n": 55128, "h": "08ac97831140ed47", "c": "import os\nimport sys\nimport webbrowser\nfrom uuid import UUID, uuid4\n\nimport requests\nimport streamlit as st\nfrom loguru import logger\n\n# Add the root directory of the project to the system path to allow importing modules from the project\nroot_dir = os.path.dirname(os.path.dirname(os.path.realpath(__file__)))\nif root_dir not in sys.path:\n    sys.path.append(root_dir)\n    print(\"******** sys.path ********\")\n    print(sys.path)\n    print(\"\")\n\nfrom app.config import config\nfrom app.models.schema import (\n    MaterialInfo,\n    VideoAspect,\n    VideoConcatMode,\n    VideoParams,\n    VideoTransitionMode,\n)\nfrom app.services import llm, voice\nfrom app.utils import utils\n\n\ndef get_config_snapshot():\n    return utils.to_json(\n        {\n            \"app\": config.app,\n            \"ui\": config.ui,\n        }\n    )\n\n\ndef save_config_if_changed(force: bool = False):\n    snapshot = get_config_snapshot()\n    if force or st.session_state.get(\"_config_snapshot\") != snapshot:\n        config.save_config()\n        st.session_state[\"_config_snapshot\"] = get_config_snapshot()\n\n\nst.set_page_config(\n    page_title=\"白泽混剪\",\n    page_icon=\"🎬\",\n    layout=\"wide\",\n    initial_sidebar_state=\"auto\",\n    menu_items=None,\n)\n\n\nstreamlit_style = \"\"\"\n<style>\nh1 {\n    padding-top: 0 !important;\n}\n\nheader[data-testid=\"stHeader\"],\ndiv[data-testid=\"stToolbar\"],\ndiv[data-testid=\"stDecoration\"],\ndiv[data-testid=\"stStatusWidget\"],\n#MainMenu,\nfooter {\n    display: none !important;\n    visibility: hidden !important;\n}\n\n.block-container {\n    padding-top: 1.2rem !important;\n}\n</style>\n\"\"\"\nst.markdown(streamlit_style, unsafe_allow_html=True)\n\n# 瀹氫箟璧勬簮鐩綍\nfont_dir = os.path.join(root_dir, \"resource\", \"fonts\")\nsong_dir = os.path.join(root_dir, \"resource\", \"songs\")\ni18n_dir = os.path.join(root_dir, \"webui\", \"i18n\")\nconfig_file = os.path.join(root_dir, \"webui\", \".streamlit\", \"webui.toml\")\nsystem_locale = utils.get_system_locale()\n\n\nif \"video_subject\" not in st.session_state:\n    st.session_state[\"video_subject\"] = \"\"\nif \"video_script\" not in st.session_state:\n    st.session_state[\"video_script\"] = \"\"\nif \"video_terms\" not in st.session_state:\n    st.session_state[\"video_terms\"] = \"\"\nif \"video_script_prompt\" not in st.session_state:\n    st.session_state[\"video_script_prompt\"] = \"\"\nif \"custom_system_prompt\" not in st.session_state:\n    st.session_state[\"custom_system_prompt\"] = llm.DEFAULT_SCRIPT_SYSTEM_PROMPT\nif \"use_custom_system_prompt\" not in st.session_state:\n    st.session_state[\"use_custom_system_prompt\"] = False\nif \"ui_language\" not in st.session_state:\n    st.session_state[\"ui_language\"] = config.ui.get(\"language\", system_locale)\nif \"local_video_materials\" not in st.session_state:\n    # 记住用户最近一次已经落盘的本地素材，避免二次生成时丢失素材列表。\n    st.session_state[\"local_video_materials\"] = []\nif \"generation_in_progress\" not in st.session_state:\n    st.session_state[\"generation_in_progress\"] = False\nif \"_config_snapshot\" not in st.session_state:\n    st.session_state[\"_config_snapshot\"] = get_config_snapshot()\n\n# 鍔犺浇璇█鏂囦欢\nlocales = utils.load_locales(i18n_dir)\n\n# 鍒涘缓涓€涓《閮ㄦ爮锛屽寘鍚爣棰樺拰璇█閫夋嫨\ntitle_col, lang_col = st.columns([3, 1])\n\nwith title_col:\n    st.title(f\"白泽混剪 v{config.project_version}\")\n\nwith lang_col:\n    display_languages = []\n    selected_index = 0\n    for i, code in enumerate(locales.keys()):\n        display_languages.append(f\"{code} - {locales[code].get('Language')}\")\n        if code == st.session_state.get(\"ui_language\", \"\"):\n            selected_index = i\n\n    selected_language = st.selectbox(\n        \"Language / 璇█\",\n        options=display_languages,\n        index=selected_index,\n        key=\"top_language_selector\",\n        label_visibility=\"collapsed\",\n    )\n    if selected_language:\n        code = selected_language.split(\" - \")[0].strip()\n        st.session_state[\"ui_language\"] = code\n        config.ui[\"language\"] = code\n\nsupport_locales = [\n    \"zh-CN\",\n    \"zh-HK\",\n    \"zh-TW\",\n    \"de-DE\",\n    \"en-US\",\n    \"fr-FR\",\n    \"ru-RU\",\n    \"vi-VN\",\n    \"th-TH\",\n    \"tr-TR\",\n]\n\n\n@st.cache_data(show_spinner=False)\ndef get_all_fonts():\n    fonts = []\n    for root, dirs, files in os.walk(font_dir):\n        for file in files:\n            if file.endswith(\".ttf\") or file.endswith(\".ttc\"):\n                fonts.append(file)\n    fonts.sort()\n    return fonts\n\n\n@st.cache_data(show_spinner=False)\ndef get_all_songs():\n    songs = []\n    for root, dirs, files in os.walk(song_dir):\n        for file in files:\n            if file.endswith(\".mp3\"):\n                songs.append(file)\n    return songs\n\n\ndef open_task_folder(task_id):\n    try:\n        # task_id 搴斿缁堟槸鏈嶅姟绔敓鎴愮殑 UUID銆傝繖閲屽厛鍋氭牸寮忔牎楠岋紝閬垮厤寮傚父鍊?\n        # 閫氳繃璺緞鎷兼帴璁块棶浠诲姟鐩綍涔嬪鐨勪綅缃紝涔熼伩鍏嶅悗缁墦寮€鐩綍鏃惰Е鍙?\n        # 骞冲彴 shell 瀵圭壒娈婂瓧绗︾殑瑙ｉ噴銆?\n        normalized_task_id = str(UUID(str(task_id)))\n        tasks_root = os.path.abspath(os.path.join(root_dir, \"storage\", \"tasks\"))\n        path = os.path.abspath(os.path.join(tasks_root, normalized_task_id))\n\n        # 鍗充娇 UUID 鏍￠獙閫氳繃锛屼篃鍐嶆纭鏈€缁堣矾寰勪粛鍦ㄤ换鍔℃牴鐩綍鍐咃紝閬垮厤\n        # 鏈潵璋冪敤鏂硅皟鏁?task_id 鏉ユ簮鏃跺紩鍏ヨ矾寰勭┛瓒婇闄┿€?\n        if not path.startswith(tasks_root + os.sep):\n            logger.warning(f\"invalid task folder path: {path}\")\n            return\n\n        if os.path.isdir(path):\n            webbrowser.open(f\"file://{path}\")\n    except Exception as e:\n        logger.error(e)\n\n\ndef scroll_to_bottom():\n    js = \"\"\"\n    <script>\n        console.log(\"scroll_to_bottom\");\n        function scroll(dummy_var_to_force_repeat_execution){\n            var sections = parent.document.querySelectorAll('section.main');\n            console.log(sections);\n            for(let index = 0; index<sections.length; index++) {\n                sections[index].scrollTop = sections[index].scrollHeight;\n            }\n        }\n        scroll(1);\n    </script>\n    \"\"\"\n    st.components.v1.html(js, height=0, width=0)\n\n\ndef init_log():\n    logger.remove()\n    _lvl = \"DEBUG\"\n\n    def format_record(record):\n        # 鑾峰彇鏃ュ織璁板綍涓殑鏂囦欢鍏ㄨ矾寰?\n        file_path = record[\"file\"].path\n        # 灏嗙粷瀵硅矾寰勮浆鎹负鐩稿浜庨」鐩牴鐩綍鐨勮矾寰?\n        relative_path = os.path.relpath(file_path, root_dir)\n        # 鏇存柊璁板綍涓殑鏂囦欢璺緞\n        record[\"file\"].path = f\"./{relative_path}\"\n        # 杩斿洖淇敼鍚庣殑鏍煎紡瀛楃涓?\n        # 鎮ㄥ彲浠ユ牴鎹渶瑕佽皟鏁磋繖閲岀殑鏍煎紡\n        record[\"message\"] = record[\"message\"].replace(root_dir, \".\")\n\n        _format = (\n            \"<green>{time:%Y-%m-%d %H:%M:%S}</> | \"\n            + \"<level>{level}</> | \"\n            + '\"{file.path}:{line}\":<blue> {function}</> '\n            + \"- <level>{message}</>\"\n            + \"\\n\"\n        )\n        return _format\n\n    logger.add(\n        sys.stdout,\n        level=_lvl,\n        format=format_record,\n        colorize=True,\n    )\n\n\ninit_log()\n\nlocales = utils.load_locales(i18n_dir)\n\n\ndef tr(key):\n    loc = locales.get(st.session_state[\"ui_language\"], {})\n    return loc.get(\"Translation\", {}).get(key, key)\n\n@st.cache_data(ttl=300, show_spinner=False)\ndef get_groq_model_ids(api_key: str, base_url: str) -> list[str]:\n    if not api_key:\n        return []\n\n    normalized_base_url = (base_url or \"https://api.groq.com/openai/v1\").strip().rstrip(\"/\")\n    models_url = f\"{normalized_base_url}/models\"\n\n    try:\n        response = requests.get(\n            models_url,\n            headers={\"Authorization\": f\"Bearer {api_key}\"},\n            timeout=10,\n        )\n        response.raise_for_status()\n        payload = response.json()\n        data = payload.get(\"data\", [])\n\n        model_ids = []\n        for item in data:\n            if isinstance(item, dict):\n                model_id = item.get(\"id\")\n                if isinstance(model_id, str) and model_id.strip():\n                    model_ids.append(model_id.strip())\n\n        return sorted(set(model_ids))\n    except Exception as e:\n        logger.warning(f\"failed to fetch groq models: {e}\")\n        return []\n\n# 鍒涘缓鍩虹璁剧疆鎶樺彔妗?\nif not config.app.get(\"hide_config\", False):\n    with st.expander(tr(\"Basic Settings\"), expanded=False):\n        config_panels = st.columns(3)\n        left_config_panel = config_panels[0]\n        middle_config_panel = config_panels[1]\n        right_config_panel = config_panels[2]\n\n        # 宸︿晶闈㈡澘 - 鏃ュ織璁剧疆\n        with left_config_panel:\n            # 鏄惁闅愯棌閰嶇疆闈㈡澘\n            hide_config = st.checkbox(\n                tr(\"Hide Basic Settings\"), value=config.app.get(\"hide_config\", False)\n            )\n            config.app[\"hide_config\"] = hide_config\n\n            # 鏄惁绂佺敤鏃ュ織鏄剧ず\n            hide_log = st.checkbox(\n                tr(\"Hide Log\"), value=config.ui.get(\"hide_log\", False)\n            )\n            config.ui[\"hide_log\"] = hide_log\n\n        # 涓棿闈㈡澘 - LLM 璁剧疆\n\n        with middle_config_panel:\n            st.write(tr(\"LLM Settings\"))\n            # 涓嬫媺妗嗛渶瑕佸睍绀衡€淎IHubMix锛堟帹鑽愶級鈥濊繖绫婚潰鍚戠敤鎴风殑鏂囨锛?\n            # 浣嗛厤缃枃浠跺拰鍚庣閫昏緫蹇呴』缁х画浣跨敤绋冲畾鐨勫皬鍐?provider id銆?\n            # 鍥犳杩欓噷鏄惧紡缁存姢 display label 鍜?provider id 鐨勬槧灏勶紝閬垮厤\n            # UI 鏂囨鍙樺寲姹℃煋 `config.app[\"llm_provider\"]`銆?\n            aihubmix_label = f\"AIHubMix ({tr('Recommended')})\"\n            if config.ui.get(\"language\") == \"zh\":\n                aihubmix_label = \"AIHubMix锛堟帹鑽愶級\"\n            llm_provider_options = [\n                (\"OpenAI\", \"openai\"),\n                (aihubmix_label, \"aihubmix\"),\n                (\"Moonshot\", \"moonshot\"),\n                (\"Azure\", \"azure\"),\n                (\"Qwen\", \"qwen\"),\n                (\"DeepSeek\", \"deepseek\"),\n                (\"ModelScope\", \"modelscope\"),\n                (\"Gemini\", \"gemini\"),\n                (\"Grok\", \"grok\"),\n                (\"Groq\", \"groq\"),\n                (\"Ollama\", \"ollama\"),\n                (\"G4f\", \"g4f\"),\n                (\"OneAPI\", \"oneapi\"),\n                (\"Cloudflare\", \"cloudflare\"),\n                (\"ERNIE\", \"ernie\"),\n                (\"MiniMax\", \"minimax\"),\n                (\"MiMo\", \"mimo\"),\n                (\"Pollinations\", \"pollinations\"),\n                (\"LiteLLM\", \"litellm\"),\n            ]\n            llm_provider_labels = [label for label, _ in llm_provider_options]\n            llm_provider_values = {\n                label: provider_id for label, provider_id in llm_provider_options\n            }\n            saved_llm_provider = config.app.get(\"llm_provider\", \"openai\").lower()\n            saved_llm_provider_index = 0\n            for i, (_, provider_id) in enumerate(llm_provider_options):\n                if provider_id == saved_llm_provider:\n                    saved_llm_provider_index = i\n                    break\n\n            llm_provider_label = st.selectbox(\n                tr(\"LLM Provider\"),\n                options=llm_provider_labels,\n                index=saved_llm_provider_index,\n            )\n            llm_helper = st.container()\n            llm_provider = llm_provider_values[llm_provider_label]\n            config.app[\"llm_provider\"] = llm_provider\n\n            llm_api_key = config.app.get(f\"{llm_provider}_api_key\", \"\")\n            llm_secret_key = config.app.get(\n                f\"{llm_provider}_secret_key\", \"\"\n            )  # only for baidu ernie\n            llm_base_url = config.app.get(f\"{llm_provider}_base_url\", \"\")\n            llm_model_name = config.app.get(f\"{llm_provider}_model_name\", \"\")\n            llm_account_id = config.app.get(f\"{llm_provider}_account_id\", \"\")\n\n            tips = \"\"\n            if llm_provider == \"ollama\":\n                if not llm_model_name:\n                    llm_model_name = \"qwen:7b\"\n                if not llm_base_url:\n                    llm_base_url = config.get_default_ollama_base_url()\n\n                with llm_helper:\n                    docker_hint = \"\"\n                    if config.is_running_in_container():\n                        docker_hint = \"\\n                            > 检测到容器环境，未配置 Base Url 时会默认使用 `http://host.docker.internal:11434/v1`\\n\"\n                    tips = f\"\"\"\n                            ##### Ollama 配置说明\n                            - **API Key**: 随便填写，比如 123\n                            - **Base Url**: 一般为 http://localhost:11434/v1\n                                - 如果 `白泽混剪` 和 `Ollama` 不在同一台机器上，需要填写 `Ollama` 机器的 IP 地址\n                                - 如果 `白泽混剪` 是 Docker 部署，建议填写 `http://host.docker.internal:11434/v1`{docker_hint}\n                            - **Model Name**: 使用 `ollama list` 查看，比如 `qwen:7b`\n                            \"\"\"\n\n            if llm_provider == \"openai\":\n                if not llm_model_name:\n                    llm_model_name = \"gpt-3.5-turbo\"\n                with llm_helper:\n                    tips = \"\"\"\n                            ##### OpenAI 閰嶇疆璇存槑\n                            > 闇€瑕乂PN寮€鍚叏灞€娴侀噺妯″紡\n                            - **API Key**: [鐐瑰嚮鍒板畼缃戠敵璇穄(https://platform.openai.com/api-keys)\n                            - **Base Url**: 瀹樻柟 OpenAI 鍙暀绌猴紱濡傛灉浣跨敤 OpenAI 鍏煎渚涘簲鍟嗭紙渚嬪 OpenRouter锛夛紝璇峰～鍐欏搴旂殑鍏煎鎺ュ彛鍦板潃\n                            - **Model Name**: 濉啓**鏈夋潈闄?*鐨勬ā鍨嬶紱濡傛灉浣跨敤鍏煎渚涘簲鍟嗭紝璇峰～鍐欒骞冲彴鏀寔鐨勬ā鍨?ID\n                            \"\"\"\n\n            if llm_provider == \"aihubmix\":\n                if not llm_model_name:\n                    llm_model_name = \"gpt-5.4-mini\"\n                if not llm_base_url:\n                    llm_base_url = \"https://aihubmix.com/v1\"\n                with llm_helper:\n                    tips = \"\"\"\n                            ##### AIHubMix 閰嶇疆璇存槑\n                            - **娉ㄥ唽閾炬帴**: [鐐瑰嚮娉ㄥ唽 AIHubMix](https://aihubmix.com/)\n                            - **Base Url**: 棰勫～ https://aihubmix.com/v1\n                            - **鎺ㄨ崘妯″瀷**: 榛樿 gpt-5.4-mini锛屼篃鍙互濉啓 AIHubMix 鏀寔鐨勫厤璐规ā鍨嬫垨鍏跺畠妯″瀷 ID\n\n                            鎺ㄨ崘鐞嗙敱锛?\n                            - **妯″瀷鍏?*: Claude銆丟PT銆丟emini銆丟rok銆丏eepSeek銆侀€氫箟绛?700+ 妯″瀷涓€绔欒鐩?\n                            - **绋冲畾**: 鏃犻檺骞跺彂锛屾案杩滃湪绾匡紝闆嗙兢閮ㄧ讲浜庤胺姝屼簯锛岄暱鏈熶负浼楀鐭ュ悕搴旂敤鎻愪緵楂樺苟鍙戞湇鍔?\n                            - **鑳藉姏瀹屾暣**: 鏂囨湰銆佸浘鐗囩敓鎴愩€佽棰戠敓鎴愩€乀TS銆丼TT銆佸悜閲忓祵鍏ャ€丷erank锛屽妯℃€佸満鏅叏鎼炲畾\n                            - **璁¤垂閫忔槑**: 鎸夐噺浠樿垂锛屾棤浼氬憳鏃犲寘鏈堬紝鍏嶈垂妯″瀷鍙娇鐢?\n                            \"\"\"\n\n            if llm_provider == \"moonshot\":\n                if not llm_model_name:\n                    llm_model_name = \"moonshot-v1-8k\"\n                with llm_helper:\n                    tips = \"\"\"\n                            ##### Moonshot 閰嶇疆璇存槑\n                            - **API Key**: [鐐瑰嚮鍒板畼缃戠敵璇穄(https://platform.moonshot.cn/console/api-keys)\n                            - **Base Url**: 鍥哄畾涓?https://api.moonshot.cn/v1\n                            - **Model Name**: 姣斿 moonshot-v1-8k锛孾鐐瑰嚮鏌ョ湅妯″瀷鍒楄〃](https://platform.moonshot.cn/docs/intro#%E6%A8%A1%E5%9E%8B%E5%88%97%E8%A1%A8)\n                            \"\"\"\n            if llm_provider == \"oneapi\":\n                if not llm_model_name:\n                    llm_model_name = (\n                        \"claude-3-5-sonnet-20240620\"  # 榛樿妯″瀷锛屽彲浠ユ牴鎹渶瑕佽皟鏁?\n                    )\n                with llm_helper:\n                    tips = \"\"\"\n                        ##### OneAPI 閰嶇疆璇存槑\n                        - **API Key**: 濉啓鎮ㄧ殑 OneAPI 瀵嗛挜\n                        - **Base Url**: 濉啓 OneAPI 鐨勫熀纭€ URL\n                        - **Model Name**: 濉啓鎮ㄨ浣跨敤鐨勬ā鍨嬪悕绉帮紝渚嬪 claude-3-5-sonnet-20240620\n                        \"\"\"\n\n            if llm_provider == \"qwen\":\n                if not llm_model_name:\n                    llm_model_name = \"qwen-max\"\n                with llm_helper:\n                    tips = \"\"\"\n                            ##### 閫氫箟鍗冮棶Qwen 閰嶇疆璇存槑\n                            - **API Key**: [鐐瑰嚮鍒板畼缃戠敵璇穄(https://dashscope.console.aliyun.com/apiKey)\n                            - **Base Url**: 鐣欑┖\n                            - **Model Name**: 姣斿 qwen-max锛孾鐐瑰嚮鏌ョ湅妯″瀷鍒楄〃](https://help.aliyun.com/zh/dashscope/developer-reference/model-introduction#3ef6d0bcf91wy)\n                            \"\"\"\n\n            if llm_provider == \"g4f\":\n                if not llm_model_name:\n                    llm_model_name = \"gpt-3.5-turbo\"\n                with llm_helper:\n                    tips = \"\"\"\n                            ##### gpt4free 閰嶇疆璇存槑\n                            > [GitHub寮€婧愰」鐩甝(https://github.com/xtekky/gpt4free)锛屽彲浠ュ厤璐逛娇鐢℅PT妯″瀷锛屼絾鏄?*绋冲畾鎬ц緝宸?*\n                            - **API Key**: 闅忎究濉啓锛屾瘮濡?123\n                            - **Base Url**: 鐣欑┖\n                            - **Model Name**: 姣斿 gpt-3.5-turbo锛孾鐐瑰嚮鏌ョ湅妯″瀷鍒楄〃](https://github.com/xtekky/gpt4free/blob/main/g4f/models.py#L308)\n                            \"\"\"\n            if llm_provider == \"azure\":\n                with llm_helper:\n                    tips = \"\"\"\n                            ##### Azure 閰嶇疆璇存槑\n                            > [鐐瑰嚮鏌ョ湅濡備綍閮ㄧ讲妯″瀷](https://learn.microsoft.com/zh-cn/azure/ai-services/openai/how-to/create-resource)\n                            - **API Key**: [鐐瑰嚮鍒癆zure鍚庡彴鍒涘缓](https://portal.azure.com/#view/Microsoft_Azure_ProjectOxford/CognitiveServicesHub/~/OpenAI)\n                            - **Base Url**: 鐣欑┖\n                            - **Model Name**: 濉啓浣犲疄闄呯殑閮ㄧ讲鍚?\n                            \"\"\"\n\n            if llm_provider == \"gemini\":\n                if not llm_model_name:\n                    llm_model_name = \"gemini-1.0-pro\"\n\n                with llm_helper:\n                    tips = \"\"\"\n                            ##### Gemini 閰嶇疆璇存槑\n                            > 闇€瑕乂PN寮€鍚叏灞€娴侀噺妯″紡\n                            - **API Key**: [鐐瑰嚮鍒板畼缃戠敵璇穄(https://ai.google.dev/)\n                            - **Base Url**: 鐣欑┖\n                            - **Model Name**: 姣斿 gemini-1.0-pro\n                            \"\"\"\n\n            if llm_provider == \"grok\":\n                if not llm_model_name:\n                    llm_model_name = \"grok-4.3\"\n                if not llm_base_url:\n                    llm_base_url = \"https://api.x.ai/v1\"\n\n                with llm_helper:\n                    tips = \"\"\"\n                            ##### Grok 閰嶇疆璇存槑\n                            - **API Key**: 濉啓鎮ㄧ殑 GrokAPI 瀵嗛挜\n                            - **Base Url**: 濉啓 GrokAPI 鐨勫熀纭€ URL\n                            - **Model Name**: 姣斿 grok-4.3\n                            \"\"\"\n\n            if llm_provider == \"groq\":\n                if not llm_model_name:\n                    llm_model_name = \"llama-3.3-70b-versatile\"\n                if not llm_base_url:\n                    llm_base_url = \"https://api.groq.com/openai/v1\"\n\n                with llm_helper:\n                    tips = \"\"\"\n                            ##### Groq 閰嶇疆璇存槑\n                            - **API Key**: [鐐瑰嚮鍒板畼缃戠敵璇穄(https://console.groq.com/keys)\n                            - **Base Url**: 鍥哄畾涓?https://api.groq.com/openai/v1\n                            - **Model Name**: 姣斿 llama-3.3-70b-versatile\n                            \"\"\"\n\n            if llm_provider == \"deepseek\":\n                if not llm_model_name:\n                    llm_model_name = \"deepseek-chat\"\n                if not llm_base_url:\n                    llm_base_url = \"https://api.deepseek.com\"\n                with llm_helper:\n                    tips = \"\"\"\n                            ##### DeepSeek 閰嶇疆璇存槑\n                            - **API Key**: [鐐瑰嚮鍒板畼缃戠敵璇穄(https://platform.deepseek.com/api_keys)\n                            - **Base Url**: 鍥哄畾涓?https://api.deepseek.com\n                            - **Model Name**: 鍥哄畾涓?deepseek-chat\n                            \"\"\"\n\n            if llm_provider == \"mimo\":\n                if not llm_model_name:\n                    llm_model_name = \"mimo-v2.5-pro\"\n                if not llm_base_url:\n                    llm_base_url = \"https://api.xiaomimimo.com/v1\"\n                with llm_helper:\n                    tips = \"\"\"\n                            ##### Xiaomi MiMo 閰嶇疆璇存槑\n                            - **API Key**: [鐐瑰嚮鍒板畼缃戠敵璇穄(https://platform.xiaomimimo.com/docs/zh-CN/quick-start/first-api-call)\n                            - **Base Url**: 鍥哄畾涓?https://api.xiaomimimo.com/v1\n                            - **Model Name**: 榛樿 mimo-v2.5-pro锛屼篃鍙互鎸夊畼鏂规枃妗ｅ～鍐欏叾瀹冨彲鐢ㄦā鍨?\n                            \"\"\"\n\n            if llm_provider == \"modelscope\":\n                if not llm_model_name:\n                    llm_model_name = \"Qwen/Qwen3-32B\"\n                if not llm_base_url:\n                    llm_base_url = \"https://api-inference.modelscope.cn/v1/\"\n                with llm_helper:\n                    tips = \"\"\"\n                            ##### ModelScope 閰嶇疆璇存槑\n                            - **API Key**: [鐐瑰嚮鍒板畼缃戠敵璇穄(https://modelscope.cn/docs/model-service/API-Inference/intro)\n                            - **Base Url**: 鍥哄畾涓?https://api-inference.modelscope.cn/v1/\n                            - **Model Name**: 姣斿 Qwen/Qwen3-32B锛孾鐐瑰嚮鏌ョ湅妯″瀷鍒楄〃](https://modelscope.cn/models?filter=inference_type&page=1)\n                            \"\"\"\n\n            if llm_provider == \"ernie\":\n                with llm_helper:\n                    tips = \"\"\"\n                            ##### 百度文心一言配置说明\n                            - **API Key**: [点击到官网申请](https://console.bce.baidu.com/qianfan/ais/console/applicationConsole/application)\n                            - **Secret Key**: [点击到官网申请](https://console.bce.baidu.com/qianfan/ais/console/applicationConsole/application)\n                            - **Base Url**: 填写 **请求地址** [点击查看文档](https://cloud.baidu.com/doc/WENXINWORKSHOP/s/jlil56u11#%E8%AF%B7%E6%B1%82%E8%AF%B4%E6%98%8E)\n                            \"\"\"\n\n            if llm_provider == \"pollinations\":\n                if not llm_model_name:\n                    llm_model_name = \"default\"\n                with llm_helper:\n                    tips = \"\"\"\n                            ##### Pollinations AI Configuration\n                            - **API Key**: Optional - Leave empty for public access\n                            - **Base Url**: Default is https://text.pollinations.ai/openai\n                            - **Model Name**: Use 'openai-fast' or specify a model name\n                            \"\"\"\n\n            if llm_provider == \"litellm\":\n                if not llm_model_name:\n                    llm_model_name = \"openai/gpt-4o-mini\"\n                with llm_helper:\n                    tips = \"\"\"\n                            ##### LiteLLM Configuration\n                            > [LiteLLM](https://github.com/BerriAI/litellm) routes to 100+ LLM providers via a unified interface.\n                            > Set your provider's API key as an env var: `OPENAI_API_KEY`, `ANTHROPIC_API_KEY`, `GEMINI_API_KEY`, `AWS_ACCESS_KEY_ID`, etc.\n                            - **Model Name**: LiteLLM format 鈥?`openai/gpt-4o`, `anthropic/claude-sonnet-4-20250514`, `bedrock/anthropic.claude-3-5-sonnet-20241022-v2:0`, `gemini/gemini-2.5-flash`. See [full provider list](https://docs.litellm.ai/docs/providers)\n                            \"\"\"\n\n            if tips and config.ui[\"language\"] == \"zh\":\n                # AIHubMix 鑷韩灏辨槸 OpenAI-compatible 鑱氬悎骞冲彴锛涚敤鎴蜂富鍔ㄩ€夋嫨\n                # 璇?provider 鏃讹紝鍐嶆樉绀?DeepSeek/Moonshot 鐨勯€氱敤鎺ㄨ崘浼氶€犳垚\n                # 淇℃伅骞叉壈锛屼篃涓嶅埄浜庝繚鎸佸悎浣滃叆鍙ｇ殑杞婚噺銆佹竻鏅般€?\n                if llm_provider != \"aihubmix\":\n                    st.warning(\n                        \"涓浗鐢ㄦ埛寤鸿浣跨敤 **DeepSeek** 鎴?**Moonshot** 浣滀负澶фā鍨嬫彁渚涘晢\\n- 鍥藉唴鍙洿鎺ヨ闂紝涓嶉渶瑕乂PN \\n- 娉ㄥ唽灏遍€侀搴︼紝鍩烘湰澶熺敤\"\n                    )\n                st.info(tips)\n\n            st_llm_api_key = st.text_input(\n                tr(\"API Key\"), value=llm_api_key, type=\"password\"\n            )\n            st_llm_base_url = st.text_input(tr(\"Base Url\"), value=llm_base_url)\n            st_llm_model_name = \"\"\n            if llm_provider != \"ernie\":\n                if llm_provider == \"groq\":\n                    effective_api_key = st_llm_api_key or llm_api_key\n                    effective_base_url = st_llm_base_url or llm_base_url\n                    groq_models = get_groq_model_ids(\n                        api_key=effective_api_key,\n                        base_url=effective_base_url,\n                    )\n\n                    if groq_models:\n                        selected_index = 0\n                        if llm_model_name in groq_models:\n                            selected_index = groq_models.index(llm_model_name)\n\n                        st_llm_model_name = st.selectbox(\n                            tr(\"Model Name\"),\n                            options=groq_models,\n                            index=selected_index,\n                            key=\"groq_model_name_select\",\n                        )\n                    else:\n                        st_llm_model_name = st.text_input(\n                            tr(\"Model Name\"),\n                            value=llm_model_name,\n                            key=\"groq_model_name_input\",\n                        )\n                        if effective_api_key:\n                            st.caption(\n                                \"Unable to load Groq model list right now. You can still enter a model name manually.\"\n                            )\n                        else:\n                            st.caption(\n                                \"Add a Groq API key to load available models automatically.\"\n                            )\n                else:\n                    st_llm_model_name = st.text_input(\n                        tr(\"Model Name\"),\n                        value=llm_model_name,\n                        key=f\"{llm_provider}_model_name_input\",\n                    )\n                if st_llm_model_name:\n                    config.app[f\"{llm_provider}_model_name\"] = st_llm_model_name\n            else:\n                st_llm_model_name = None\n\n            if st_llm_api_key:\n                config.app[f\"{llm_provider}_api_key\"] = st_llm_api_key\n            if st_llm_base_url:\n                config.app[f\"{llm_provider}_base_url\"] = st_llm_base_url\n            if st_llm_model_name:\n                config.app[f\"{llm_provider}_model_name\"] = st_llm_model_name\n            if llm_provider == \"ernie\":\n                st_llm_secret_key = st.text_input(\n                    tr(\"Secret Key\"), value=llm_secret_key, type=\"password\"\n                )\n                config.app[f\"{llm_provider}_secret_key\"] = st_llm_secret_key\n\n            if llm_provider == \"cloudflare\":\n                st_llm_account_id = st.text_input(\n                    tr(\"Account ID\"), value=llm_account_id\n                )\n                if st_llm_account_id:\n                    config.app[f\"{llm_provider}_account_id\"] = st_llm_account_id\n\n        # 鍙充晶闈㈡澘 - API 瀵嗛挜璁剧疆\n        with right_config_panel:\n\n            def get_keys_from_config(cfg_key):\n                api_keys = config.app.get(cfg_key, [])\n                if isinstance(api_keys, str):\n                    api_keys = [api_keys]\n                api_key = \", \".join(api_keys)\n                return api_key\n\n            def save_keys_to_config(cfg_key, value):\n                value = value.replace(\" \", \"\")\n                if value:\n                    config.app[cfg_key] = value.split(\",\")\n\n            st.write(tr(\"Video Source Settings\"))\n\n            pexels_api_key = get_keys_from_config(\"pexels_api_keys\")\n            pexels_api_key = st.text_input(\n                tr(\"Pexels API Key\"), value=pexels_api_key, type=\"password\"\n            )\n            save_keys_to_config(\"pexels_api_keys\", pexels_api_key)\n\n            pixabay_api_key = get_keys_from_config(\"pixabay_api_keys\")\n            pixabay_api_key = st.text_input(\n                tr(\"Pixabay API Key\"), value=pixabay_api_key, type=\"password\"\n            )\n            save_keys_to_config(\"pixabay_api_keys\", pixabay_api_key)\n\nllm_provider = config.app.get(\"llm_provider\", \"\").lower()\npanel = st.columns(3)\nleft_panel = panel[0]\nmiddle_panel = panel[1]\nright_panel = panel[2]\n\nparams = VideoParams(video_subject=\"\")\nuploaded_files = []\nuploaded_audio_file = None\nuploaded_voice_reference_file = None\ncustom_audio_file_types = [\"mp3\", \"wav\", \"m4a\", \"aac\", \"flac\", \"ogg\"]\n\nwith left_panel:\n    with st.container(border=True):\n        st.write(tr(\"Video Script Settings\"))\n        params.video_subject = st.text_input(\n            tr(\"Video Subject\"),\n            key=\"video_subject\",\n        ).strip()\n\n        video_languages = [\n            (tr(\"Auto Detect\"), \"\"),\n        ]\n        for code in support_locales:\n            video_languages.append((code, code))\n\n        selected_index = st.selectbox(\n            tr(\"Script Language\"),\n            index=0,\n            options=range(\n                len(video_languages)\n            ),  # Use the index as the internal option value\n            format_func=lambda x: video_languages[x][\n                0\n            ],  # The label is displayed to the user\n        )\n        params.video_language = video_languages[selected_index][1]\n\n        with st.expander(tr(\"Advanced Script Settings\"), expanded=False):\n            params.paragraph_number = st.slider(\n                tr(\"Script Paragraph Number\"),\n                min_value=llm.MIN_SCRIPT_PARAGRAPH_NUMBER,\n                max_value=llm.MAX_SCRIPT_PARAGRAPH_NUMBER,\n                value=st.session_state.get(\"paragraph_number_input\", 1),\n                key=\"paragraph_number_input\",\n            )\n            params.video_script_prompt = st.text_area(\n                tr(\"Custom Script Requirements\"),\n                height=100,\n                max_chars=llm.MAX_SCRIPT_PROMPT_LENGTH,\n                placeholder=tr(\"Custom Script Requirements Placeholder\"),\n                key=\"video_script_prompt\",\n            ).strip()\n\n            use_custom_system_prompt = st.checkbox(\n                tr(\"Use Custom System Prompt\"),\n                help=tr(\"Use Custom System Prompt Help\"),\n                key=\"use_custom_system_prompt\",\n            )\n\n            if use_custom_system_prompt:\n                custom_system_prompt = st.text_area(\n                    tr(\"Custom System Prompt\"),\n                    height=240,\n                    max_chars=llm.MAX_SCRIPT_SYSTEM_PROMPT_LENGTH,\n                    key=\"custom_system_prompt\",\n                ).strip()\n                params.custom_system_prompt = custom_system_prompt\n            else:\n                params.custom_system_prompt = \"\"\n\n        if st.button(\n            tr(\"Generate Video Script and Keywords\"), key=\"auto_generate_script\"\n        ):\n            with st.spinner(tr(\"Generating Video Script and Keywords\")):\n                script = llm.generate_script(\n                    video_subject=params.video_subject,\n                    language=params.video_language,\n                    paragraph_number=params.paragraph_number,\n                    video_script_prompt=params.video_script_prompt,\n                    custom_system_prompt=params.custom_system_prompt,\n                )\n                terms = llm.generate_terms(params.video_subject, script)\n                if \"Error: \" in script:\n                    st.error(tr(script))\n                elif \"Error: \" in terms:\n                    st.error(tr(terms))\n                else:\n                    st.session_state[\"video_script\"] = script\n                    st.session_state[\"video_terms\"] = \", \".join(terms)\n        params.video_script = st.text_area(\n            tr(\"Video Script\"), value=st.session_state[\"video_script\"], height=280\n        )\n        if st.button(tr(\"Generate Video Keywords\"), key=\"auto_generate_terms\"):\n            if not params.video_script:\n                st.error(tr(\"Please Enter the Video Subject\"))\n                st.stop()\n\n            with st.spinner(tr(\"Generating Video Keywords\")):\n                terms = llm.generate_terms(params.video_subject, params.video_script)\n                if \"Error: \" in terms:\n                    st.error(tr(terms))\n                else:\n                    st.session_state[\"video_terms\"] = \", \".join(terms)\n\n        params.video_terms = st.text_area(\n            tr(\"Video Keywords\"), value=st.session_state[\"video_terms\"]\n        )\n\nwith middle_panel:\n    with st.container(border=True):\n        st.write(tr(\"Video Settings\"))\n        video_concat_modes = [\n            (tr(\"Sequential\"), \"sequential\"),\n            (tr(\"Random\"), \"random\"),\n        ]\n        video_sources = [\n            (tr(\"Pexels\"), \"pexels\"),\n            (tr(\"Pixabay\"), \"pixabay\"),\n            (tr(\"Local file\"), \"local\"),\n            (tr(\"TikTok\"), \"douyin\"),\n            (tr(\"Bilibili\"), \"bilibili\"),\n            (tr(\"Xiaohongshu\"), \"xiaohongshu\"),\n        ]\n\n        saved_video_source_name = config.app.get(\"video_source\", \"pexels\")\n        saved_video_source_index = [v[1] for v in video_sources].index(\n            saved_video_source_name\n        )\n\n        selected_index = st.selectbox(\n            tr(\"Video Source\"),\n            options=range(len(video_sources)),\n            format_func=lambda x: video_sources[x][0],\n            index=saved_video_source_index,\n        )\n        params.video_source = video_sources[selected_index][1]\n        config.app[\"video_source\"] = params.video_source\n\n        if params.video_source == \"local\":\n            # Streamlit 鐨勬枃浠剁被鍨嬫牎楠屽鎵╁睍鍚嶅ぇ灏忓啓鏁忔劅锛岃繖閲屽悓鏃舵斁琛屽ぇ灏忓啓涓ょ褰㈠紡銆?\n            local_file_types = [\"mp4\", \"mov\", \"avi\", \"flv\", \"mkv\", \"jpg\", \"jpeg\", \"png\"]\n            uploaded_files = st.file_uploader(\n                tr(\"Upload Local Files\"),\n                type=local_file_types + [file_type.upper() for file_type in local_file_types],\n                accept_multiple_files=True,\n            )\n\n        selected_index = st.selectbox(\n            tr(\"Video Concat Mode\"),\n            index=1,\n            options=range(\n                len(video_concat_modes)\n            ),  # Use the index as the internal option value\n            format_func=lambda x: video_concat_modes[x][\n                0\n            ],  # The label is displayed to the user\n        )\n        params.video_concat_mode = VideoConcatMode(\n            video_concat_modes[selected_index][1]\n        )\n\n        # 瑙嗛杞満妯″紡\n        video_transition_modes = [\n            (tr(\"None\"), VideoTransitionMode.none.value),\n            (tr(\"Shuffle\"), VideoTransitionMode.shuffle.value),\n            (tr(\"FadeIn\"), VideoTransitionMode.fade_in.value),\n            (tr(\"FadeOut\"), VideoTransitionMode.fade_out.value),\n            (tr(\"SlideIn\"), VideoTransitionMode.slide_in.value),\n            (tr(\"SlideOut\"), VideoTransitionMode.slide_out.value),\n        ]\n        selected_index = st.selectbox(\n            tr(\"Video Transition Mode\"),\n            options=range(len(video_transition_modes)),\n            format_func=lambda x: video_transition_modes[x][0],\n            index=0,\n        )\n        params.video_transition_mode = VideoTransitionMode(\n            video_transition_modes[selected_index][1]\n        )\n\n        video_aspect_ratios = [\n            (tr(\"Portrait\"), VideoAspect.portrait.value),\n            (tr(\"Landscape\"), VideoAspect.landscape.value),\n        ]\n        selected_index = st.selectbox(\n            tr(\"Video Ratio\"),\n            options=range(\n                len(video_aspect_ratios)\n            ),  # Use the index as the internal option value\n            format_func=lambda x: video_aspect_ratios[x][\n                0\n            ],  # The label is displayed to the user\n        )\n        params.video_aspect = VideoAspect(video_aspect_ratios[selected_index][1])\n\n        params.video_clip_duration = st.selectbox(\n            tr(\"Clip Duration\"), options=[2, 3, 4, 5, 6, 7, 8, 9, 10], index=1\n        )\n        params.video_count = st.selectbox(\n            tr(\"Number of Videos Generated Simultaneously\"),\n            options=[1, 2, 3, 4, 5],\n            index=0,\n        )\n\n        with st.expander(tr(\"Advanced Video Settings\"), expanded=False):\n            video_codec_options = [\n                (\"libx264 (CPU)\", \"libx264\"),\n                (\"NVIDIA NVENC (h264_nvenc)\", \"h264_nvenc\"),\n                (\"AMD AMF (h264_amf)\", \"h264_amf\"),\n                (\"Intel QSV (h264_qsv)\", \"h264_qsv\"),\n                (\"Windows MediaFoundation (h264_mf)\", \"h264_mf\"),\n                (\"macOS VideoToolbox (h264_videotoolbox)\", \"h264_videotoolbox\"),\n            ]\n            saved_video_codec = config.app.get(\"video_codec\", \"libx264\")\n            saved_video_codec_values = [item[1] for item in video_codec_options]\n            if saved_video_codec not in saved_video_codec_values:\n                saved_video_codec = \"libx264\"\n            selected_codec_index = saved_video_codec_values.index(saved_video_codec)\n            selected_codec_index = st.selectbox(\n                tr(\"Video Encoder\"),\n                options=range(len(video_codec_options)),\n                index=selected_codec_index,\n                format_func=lambda x: video_codec_options[x][0],\n                help=tr(\"Video Encoder Help\"),\n            )\n            config.app[\"video_codec\"] = video_codec_options[selected_codec_index][1]\n    with st.container(border=True):\n        st.write(tr(\"Audio Settings\"))\n\n        # 娣诲姞TTS鏈嶅姟鍣ㄩ€夋嫨涓嬫媺妗?\n        tts_servers = [\n            (\"voxcpm-tts\", \"VoxCPM 声音克隆\"),\n        ]\n\n        # 鑾峰彇淇濆瓨鐨凾TS鏈嶅姟鍣紝榛樿涓簐1\n        saved_tts_server = config.ui.get(\"tts_server\", \"voxcpm-tts\")\n        saved_tts_server_index = 0\n        for i, (server_value, _) in enumerate(tts_servers):\n            if server_value == saved_tts_server:\n                saved_tts_server_index = i\n                break\n\n        selected_tts_server_index = st.selectbox(\n            tr(\"TTS Servers\"),\n            options=range(len(tts_servers)),\n            format_func=lambda x: tts_servers[x][1],\n            index=saved_tts_server_index,\n        )\n\n        selected_tts_server = tts_servers[selected_tts_server_index][0]\n        config.ui[\"tts_server\"] = selected_tts_server\n\n        friendly_names = {\n            voice_name: voice.get_voxcpm_voice_label(voice_name)\n            for voice_name in voice.get_voxcpm_voices()\n        }\n        saved_voice_name = config.ui.get(\"voice_name\", voice.VOXCPM_VOICE_NAME)\n        if saved_voice_name not in friendly_names:\n            saved_voice_name = voice.VOXCPM_VOICE_NAME\n        voice_options = list(friendly_names.keys())\n        selected_voice_index = st.selectbox(\n            tr(\"Speech Synthesis\"),\n            options=range(len(voice_options)),\n            index=voice_options.index(saved_voice_name),\n            format_func=lambda x: friendly_names[voice_options[x]],\n        )\n        voice_name = voice_options[selected_voice_index]\n        params.voice_name = voice_name\n        config.ui[\"voice_name\"] = voice_name\n\n        uploaded_voice_reference_file = st.file_uploader(\n            \"声音克隆参考音频\",\n            type=custom_audio_file_types\n            + [file_type.upper() for file_type in custom_audio_file_types],\n            accept_multiple_files=False,\n            key=\"voxcpm_reference_audio_uploader\",\n            help=\"这里上传的是克隆参考音频，不会替代最终旁白。\",\n        )\n        if uploaded_voice_reference_file:\n            st.audio(uploaded_voice_reference_file, format=\"audio/mp3\")\n        if voice_name == voice.VOXCPM_VOICE_NAME:\n            st.caption(\"VoxCPM 已作为内置语音克隆引擎使用。上传参考音频后会按该音色克隆，不依赖本地网址服务。\")\n        else:\n            st.caption(\"VoxCPM 已作为内置语音克隆引擎使用。当前音色会通过内置风格指令生成，也可以上传参考音频进一步克隆。\")\n\n        params.voice_volume = st.selectbox(\n            tr(\"Speech Volume\"),\n            options=[0.6, 0.8, 1.0, 1.2, 1.5, 2.0, 3.0, 4.0, 5.0],\n            index=2,\n        )\n\n        params.voice_rate = st.selectbox(\n            tr(\"Speech Rate\"),\n            options=[0.8, 0.9, 1.0, 1.1, 1.2, 1.3, 1.5, 1.8, 2.0],\n            index=2,\n        )\n\n        uploaded_audio_file = st.file_uploader(\n            tr(\"Custom Audio File\"),\n            type=custom_audio_file_types\n            + [file_type.upper() for file_type in custom_audio_file_types],\n            accept_multiple_files=False,\n            key=\"custom_audio_file_uploader\",\n        )\n        if uploaded_audio_file:\n            st.audio(uploaded_audio_file, format=\"audio/mp3\")\n            st.info(\n                tr(\n                    \"Custom audio will be used directly. TTS synthesis will be skipped for this task.\"\n                )\n            )\n\n        bgm_options = [\n            (tr(\"No Background Music\"), \"\"),\n            (tr(\"Random Background Music\"), \"random\"),\n            (tr(\"Custom Background Music\"), \"custom\"),\n        ]\n        selected_index = st.selectbox(\n            tr(\"Background Music\"),\n            index=1,\n            options=range(\n                len(bgm_options)\n            ),  # Use the index as the internal option value\n            format_func=lambda x: bgm_options[x][\n                0\n            ],  # The label is displayed to the user\n        )\n        # Get the selected background music type\n        params.bgm_type = bgm_options[selected_index][1]\n\n        # Show or hide components based on the selection\n        if params.bgm_type == \"custom\":\n            custom_bgm_file = st.text_input(\n                tr(\"Custom Background Music File\"), key=\"custom_bgm_file_input\"\n            )\n            if custom_bgm_file:\n                # 杩欓噷涓嶇洿鎺ョ敤 os.path.exists 鍒ゆ柇锛屽洜涓虹敤鎴峰父瑙佽緭鍏ユ槸\n                # output000.mp3锛岃繖涓枃浠跺悕闇€瑕佺敱鏈嶅姟灞傛槧灏勫埌 resource/songs\n                # 鐩綍鍚庡啀鏍￠獙銆傛湇鍔″眰浼氱粺涓€闄愬埗鐩綍鍜屾枃浠剁被鍨嬶紝閬垮厤浠绘剰璺緞璇诲彇銆?\n                params.bgm_file = custom_bgm_file.strip()\n                # st.write(f\":red[宸查€夋嫨鑷畾涔夎儗鏅煶涔怾锛?*{custom_bgm_file}**\")\n        params.bgm_volume = st.selectbox(\n            tr(\"Background Music Volume\"),\n            options=[0.0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0],\n            index=2,\n        )\n\nwith right_panel:\n    with st.container(border=True):\n        st.write(tr(\"Subtitle Settings\"))\n        params.subtitle_enabled = st.checkbox(tr(\"Enable Subtitles\"), value=True)\n        font_names = get_all_fonts()\n        saved_font_name = config.ui.get(\"font_name\", \"MicrosoftYaHeiBold.ttc\")\n        saved_font_name_index = 0\n        if saved_font_name in font_names:\n            saved_font_name_index = font_names.index(saved_font_name)\n        params.font_name = st.selectbox(\n            tr(\"Font\"), font_names, index=saved_font_name_index\n        )\n        config.ui[\"font_name\"] = params.font_name\n\n        subtitle_positions = [\n            (tr(\"Top\"), \"top\"),\n            (tr(\"Center\"), \"center\"),\n            (tr(\"Bottom\"), \"bottom\"),\n            (tr(\"Custom\"), \"custom\"),\n        ]\n        saved_subtitle_position = config.ui.get(\"subtitle_position\", \"custom\")\n        saved_position_index = 3\n        for i, (_, pos_value) in enumerate(subtitle_positions):\n            if pos_value == saved_subtitle_position:\n                saved_position_index = i\n                break\n        selected_index = st.selectbox(\n            tr(\"Position\"),\n            index=saved_position_index,\n            options=range(len(subtitle_positions)),\n            format_func=lambda x: subtitle_positions[x][0],\n        )\n        params.subtitle_position = subtitle_positions[selected_index][1]\n        config.ui[\"subtitle_position\"] = params.subtitle_position\n\n        if params.subtitle_position == \"custom\":\n            saved_custom_position = config.ui.get(\"custom_position\", 75.0)\n            custom_position = st.text_input(\n                tr(\"Custom Position (% from top)\"),\n                value=str(saved_custom_position),\n                key=\"custom_position_input\",\n            )\n            try:\n                params.custom_position = float(custom_position)\n                if params.custom_position < 0 or params.custom_position > 100:\n                    st.error(tr(\"Please enter a value between 0 and 100\"))\n                else:\n                    config.ui[\"custom_position\"] = params.custom_position\n            except ValueError:\n                st.error(tr(\"Please enter a valid number\"))\n\n        font_cols = st.columns([0.3, 0.7])\n        with font_cols[0]:\n            saved_text_fore_color = config.ui.get(\"text_fore_color\", \"#FFFFFF\")\n            params.text_fore_color = st.color_picker(\n                tr(\"Font Color\"), saved_text_fore_color\n            )\n            config.ui[\"text_fore_color\"] = params.text_fore_color\n\n        with font_cols[1]:\n            saved_font_size = config.ui.get(\"font_size\", 60)\n            params.font_size = st.slider(tr(\"Font Size\"), 30, 100, saved_font_size)\n            config.ui[\"font_size\"] = params.font_size\n\n        stroke_cols = st.columns([0.3, 0.7])\n        with stroke_cols[0]:\n            params.stroke_color = st.color_picker(tr(\"Stroke Color\"), \"#000000\")\n        with stroke_cols[1]:\n            params.stroke_width = st.slider(tr(\"Stroke Width\"), 0.0, 10.0, 1.5)\n\n        subtitle_bg_cols = st.columns([0.4, 0.6])\n        saved_subtitle_background_enabled = config.ui.get(\n            \"subtitle_background_enabled\", True\n        )\n        with subtitle_bg_cols[0]:\n            subtitle_background_enabled = st.checkbox(\n                tr(\"Enable Subtitle Background\"),\n                value=saved_subtitle_background_enabled,\n            )\n        config.ui[\"subtitle_background_enabled\"] = subtitle_background_enabled\n        if subtitle_background_enabled:\n            with subtitle_bg_cols[1]:\n                saved_subtitle_background_color = config.ui.get(\n                    \"subtitle_background_color\", \"#000000\"\n                )\n                params.text_background_color = st.color_picker(\n                    tr(\"Subtitle Background Color\"),\n                    saved_subtitle_background_color,\n                )\n                config.ui[\"subtitle_background_color\"] = params.text_background_color\n        else:\n            params.text_background_color = False\n\n        saved_rounded_subtitle_background = config.ui.get(\n            \"rounded_subtitle_background\", False\n        )\n        # 鑳屾櫙鍏抽棴鏃讹紝鍦嗚鑳屾櫙娌℃湁鍙覆鏌撶殑搴曡壊銆傝繖閲岀鐢ㄦ帶浠跺苟淇濈暀鍘熼厤缃紝\n        # 鐢ㄦ埛涓嬫閲嶆柊寮€鍚瓧骞曡儗鏅悗锛屽彲浠ョ户缁娇鐢ㄤ箣鍓嶄繚瀛樼殑鍦嗚鍋忓ソ銆?\n        params.rounded_subtitle_background = st.checkbox(\n            tr(\"Rounded Subtitle Background\"),\n            value=(\n                saved_rounded_subtitle_background\n                if subtitle_background_enabled\n                else False\n            ),\n            help=tr(\"Rounded Subtitle Background Help\"),\n            disabled=not subtitle_background_enabled,\n        )\n        if subtitle_background_enabled:\n            config.ui[\"rounded_subtitle_background\"] = (\n                params.rounded_subtitle_background\n            )\n    with st.expander(tr(\"Click to show API Key management\"), expanded=False):\n        st.subheader(tr(\"Manage Pexels and Pixabay API Keys\"))\n\n        col1, col2 = st.tabs([tr(\"Pexels API Keys\"), tr(\"Pixabay API Keys\")])\n\n        with col1:\n            st.subheader(tr(\"Pexels API Keys\"))\n            if config.app[\"pexels_api_keys\"]:\n                st.write(tr(\"Current Keys:\"))\n                for key in config.app[\"pexels_api_keys\"]:\n                    st.code(key)\n            else:\n                st.info(tr(\"No Pexels API Keys currently\"))\n\n            new_key = st.text_input(tr(\"Add Pexels API Key\"), key=\"pexels_new_key\")\n            if st.button(tr(\"Add Pexels API Key\")):\n                if new_key and new_key not in config.app[\"pexels_api_keys\"]:\n                    config.app[\"pexels_api_keys\"].append(new_key)\n                    save_config_if_changed(force=True)\n                    st.success(tr(\"Pexels API Key added successfully\"))\n                elif new_key in config.app[\"pexels_api_keys\"]:\n                    st.warning(tr(\"This API Key already exists\"))\n                else:\n                    st.error(tr(\"Please enter a valid API Key\"))\n\n            if config.app[\"pexels_api_keys\"]:\n                delete_key = st.selectbox(\n                    tr(\"Select Pexels API Key to delete\"), config.app[\"pexels_api_keys\"], key=\"pexels_delete_key\"\n                )\n                if st.button(tr(\"Delete Selected Pexels API Key\")):\n                    config.app[\"pexels_api_keys\"].remove(delete_key)\n                    save_config_if_changed(force=True)\n                    st.success(tr(\"Pexels API Key deleted successfully\"))\n\n        with col2:\n            st.subheader(tr(\"Pixabay API Keys\"))\n\n            if config.app[\"pixabay_api_keys\"]:\n                st.write(tr(\"Current Keys:\"))\n                for key in config.app[\"pixabay_api_keys\"]:\n                    st.code(key)\n            else:\n                st.info(tr(\"No Pixabay API Keys currently\"))\n\n            new_key = st.text_input(tr(\"Add Pixabay API Key\"), key=\"pixabay_new_key\")\n            if st.button(tr(\"Add Pixabay API Key\")):\n                if new_key and new_key not in config.app[\"pixabay_api_keys\"]:\n                    config.app[\"pixabay_api_keys\"].append(new_key)\n                    save_config_if_changed(force=True)\n                    st.success(tr(\"Pixabay API Key added successfully\"))\n                elif new_key in config.app[\"pixabay_api_keys\"]:\n                    st.warning(tr(\"This API Key already exists\"))\n                else:\n                    st.error(tr(\"Please enter a valid API Key\"))\n\n            if config.app[\"pixabay_api_keys\"]:\n                delete_key = st.selectbox(\n                    tr(\"Select Pixabay API Key to delete\"), config.app[\"pixabay_api_keys\"], key=\"pixabay_delete_key\"\n                )\n                if st.button(tr(\"Delete Selected Pixabay API Key\")):\n                    config.app[\"pixabay_api_keys\"].remove(delete_key)\n                    save_config_if_changed(force=True)\n                    st.success(tr(\"Pixabay API Key deleted successfully\"))\n\nstart_button = st.button(\n    tr(\"Generate Video\"),\n    use_container_width=True,\n    type=\"primary\",\n    disabled=st.session_state[\"generation_in_progress\"],\n)\nif start_button:\n    st.session_state[\"generation_in_progress\"] = True\n    save_config_if_changed(force=True)\n    task_id = str(uuid4())\n    if not params.video_subject and not params.video_script:\n        st.error(tr(\"Video Script and Subject Cannot Both Be Empty\"))\n        st.session_state[\"generation_in_progress\"] = False\n        scroll_to_bottom()\n        st.stop()\n\n    if params.video_source not in [\"pexels\", \"pixabay\", \"local\"]:\n        st.error(tr(\"Please Select a Valid Video Source\"))\n        st.session_state[\"generation_in_progress\"] = False\n        scroll_to_bottom()\n        st.stop()\n\n    if params.video_source == \"pexels\" and not config.app.get(\"pexels_api_keys\", \"\"):\n        st.error(tr(\"Please Enter the Pexels API Key\"))\n        st.session_state[\"generation_in_progress\"] = False\n        scroll_to_bottom()\n        st.stop()\n\n    if params.video_source == \"pixabay\" and not config.app.get(\"pixabay_api_keys\", \"\"):\n        st.error(tr(\"Please Enter the Pixabay API Key\"))\n        st.session_state[\"generation_in_progress\"] = False\n        scroll_to_bottom()\n        st.stop()\n\n    if uploaded_audio_file:\n        task_dir = utils.task_dir(task_id)\n        # 涓婁紶鏂囦欢鍚嶆潵鑷祻瑙堝櫒锛屼笉鑳界洿鎺ユ嫾鍒扮鐩樿矾寰勯噷锛涜繖閲屽彧淇濈暀鎵╁睍鍚嶏紝\n        # 骞朵娇鐢ㄥ浐瀹氭枃浠跺悕淇濆瓨鍒板綋鍓嶄换鍔＄洰褰曪紝閬垮厤璺緞绌胯秺鎴栫壒娈婂瓧绗﹂棶棰樸€?\n        _, audio_ext = os.path.splitext(os.path.basename(uploaded_audio_file.name))\n        audio_ext = audio_ext.lower() or \".mp3\"\n        custom_audio_path = os.path.join(task_dir, f\"custom-audio{audio_ext}\")\n        with open(custom_audio_path, \"wb\") as f:\n            f.write(uploaded_audio_file.getbuffer())\n        params.custom_audio_file = custom_audio_path\n\n    if uploaded_voice_reference_file:\n        task_dir = utils.task_dir(task_id)\n        _, audio_ext = os.path.splitext(\n            os.path.basename(uploaded_voice_reference_file.name)\n        )\n        audio_ext = audio_ext.lower() or \".wav\"\n        reference_audio_path = os.path.join(task_dir, f\"voice-reference{audio_ext}\")\n        with open(reference_audio_path, \"wb\") as f:\n            f.write(uploaded_voice_reference_file.getbuffer())\n        params.voice_reference_audio_file = reference_audio_path\n\n    if uploaded_files:\n        local_videos_dir = utils.storage_dir(\"local_videos\", create=True)\n        # 姣忔閲嶆柊涓婁紶鏃堕兘浠ユ湰娆￠€夋嫨鐨勭礌鏉愪负鍑嗭紝閬垮厤鏃х礌鏉愪笉鏂噸澶嶈拷鍔犮€?\n        params.video_materials = []\n        persisted_local_materials = []\n        for file in uploaded_files:\n            file_path = os.path.join(local_videos_dir, f\"{file.file_id}_{file.name}\")\n            with open(file_path, \"wb\") as f:\n                f.write(file.getbuffer())\n                m = MaterialInfo()\n                m.provider = \"local\"\n                m.url = file_path\n                params.video_materials.append(m)\n                persisted_local_materials.append(\n                    {\n                        \"provider\": m.provider,\n                        \"url\": m.url,\n                        \"duration\": m.duration,\n                    }\n                )\n        # 灏嗗凡涓婁紶骞朵繚瀛樺埌鏈湴鐨勮棰戠礌鏉愬啓鍏ヤ細璇濓紝渚涘悗缁彧鏀规枃妗堟椂鐩存帴澶嶇敤銆?\n        st.session_state[\"local_video_materials\"] = persisted_local_materials\n    elif params.video_source == \"local\" and st.session_state[\"local_video_materials\"]:\n        # 褰撶敤鎴锋病鏈夐噸鏂颁笂浼犳枃浠舵椂锛屽鐢ㄦ渶杩戜竴娆″凡缁忎繚瀛樺埌纾佺洏鐨勬湰鍦扮礌鏉愬垪琛ㄣ€?\n        params.video_materials = []\n        for material in st.session_state[\"local_video_materials\"]:\n            m = MaterialInfo()\n            m.provider = material.get(\"provider\", \"local\")\n            m.url = material.get(\"url\", \"\")\n            m.duration = material.get(\"duration\", 0)\n            if m.url:\n                params.video_materials.append(m)\n\n    log_container = st.empty()\n    log_records = []\n\n    def log_received(msg):\n        if config.ui[\"hide_log\"]:\n            return\n        with log_container:\n            log_records.append(msg)\n            st.caption(\"鐢熸垚杩涘害\")\n            st.code(\"\\n\".join(log_records[-6:]))\n            with st.expander(\"瀹屾暣鏃ュ織\", expanded=False):\n                st.code(\"\\n\".join(log_records[-400:]))\n\n    log_handler_id = logger.add(log_received)\n\n    st.toast(tr(\"Generating Video\"))\n    logger.info(tr(\"Start Generating Video\"))\n    logger.info(\n        \"generation params: \"\n        f\"subject={params.video_subject!r}, \"\n        f\"aspect={params.video_aspect}, \"\n        f\"source={params.video_source}, \"\n        f\"tts={params.voice_name}, \"\n        f\"clip_duration={params.video_clip_duration}, \"\n        f\"count={params.video_count}\"\n    )\n    scroll_to_bottom()\n\n    try:\n        with st.status(tr(\"Generating Video\"), expanded=False):\n            from app.services import task as tm\n\n            result = tm.start(task_id=task_id, params=params)\n    except Exception as e:\n        logger.exception(f\"video generation crashed: {str(e)}\")\n        result = None\n    finally:\n        try:\n            logger.remove(log_handler_id)\n        except Exception:\n            pass\n\n    if not result or \"videos\" not in result:\n        st.error(tr(\"Video Generation Failed\"))\n        logger.error(tr(\"Video Generation Failed\"))\n        st.session_state[\"generation_in_progress\"] = False\n        scroll_to_bottom()\n        st.stop()\n\n    video_files = result.get(\"videos\", [])\n    st.success(tr(\"Video Generation Completed\"))\n    try:\n        if video_files:\n            player_cols = st.columns(len(video_files) * 2 + 1)\n            for i, url in enumerate(video_files):\n                player_cols[i * 2 + 1].video(url)\n    except Exception:\n        pass\n\n    open_task_folder(task_id)\n    logger.info(tr(\"Video Generation Completed\"))\n    st.session_state[\"generation_in_progress\"] = False\n    scroll_to_bottom()\n\nsave_config_if_changed()\n"}}, "config.example.toml": {"39fd46106e09f4c3de66282a378fdf61ac9d5e53": {"t": 1785745345.9601748, "n": 13034, "h": "98a0b899f0e18d23", "c": "project_name = \"白泽混剪\"\nproject_description = \"白泽混剪桌面工具\"\n\n[app]\nvideo_source = \"pexels\" # \"pexels\" or \"pixabay\"\n\n# 鏄惁闅愯棌閰嶇疆闈㈡澘\nhide_config = false\n\n# 鏄惁鏍￠獙澶栭儴 API 鍜岀礌鏉愪笅杞界殑 TLS 璇佷功銆?\n# 榛樿蹇呴』寮€鍚紝閬垮厤 Pexels/Pixabay API key 鍜屼笅杞界礌鏉愯涓棿浜烘敾鍑荤鏀广€?\n# 鍙湁鍦ㄤ紒涓氫唬鐞嗘垨鑷璇佷功鐜鏄庣‘闇€瑕佹椂锛屾墠涓存椂鏀逛负 false銆?\ntls_verify = true\n\n# Pexels API Key\n# Register at https://www.pexels.com/api/ to get your API key.\n# You can use multiple keys to avoid rate limits.\n# For example: pexels_api_keys = [\"123adsf4567adf89\",\"abd1321cd13efgfdfhi\"]\n# 鐗瑰埆娉ㄦ剰鏍煎紡锛孠ey 鐢ㄨ嫳鏂囧弻寮曞彿鎷捣鏉ワ紝澶氫釜Key鐢ㄩ€楀彿闅斿紑\npexels_api_keys = []\n\n# Pixabay API Key\n# Register at https://pixabay.com/api/docs/ to get your API key.\n# You can use multiple keys to avoid rate limits.\n# For example: pixabay_api_keys = [\"123adsf4567adf89\",\"abd1321cd13efgfdfhi\"]\n# 鐗瑰埆娉ㄦ剰鏍煎紡锛孠ey 鐢ㄨ嫳鏂囧弻寮曞彿鎷捣鏉ワ紝澶氫釜Key鐢ㄩ€楀彿闅斿紑\npixabay_api_keys = []\n\n# 鏀寔鐨勬彁渚涘晢 (Supported providers):\n#   openai\n#   aihubmix   (OpenAI-compatible AI model gateway)\n#   moonshot    (鏈堜箣鏆楅潰)\n#   azure\n#   qwen        (閫氫箟鍗冮棶)\n#   deepseek\n#   gemini\n#   ollama\n#   g4f        (disabled by default; set enable_g4f=true only after accepting its risks)\n#   oneapi\n#   cloudflare\n#   minimax\n#   mimo       (Xiaomi MiMo)\n#   ernie       (鏂囧績涓€瑷€)\n#   modelscope  (榄旀惌绀惧尯)\n#   litellm     (100+ providers via LiteLLM gateway)\nllm_provider = \"openai\"\n\n########## Pollinations AI Settings\n# Visit https://pollinations.ai/ to learn more\n# API Key is optional - leave empty for public access\npollinations_api_key = \"\"\n# Default base URL for Pollinations API\npollinations_base_url = \"https://pollinations.ai/api/v1\"\n# Default model for text generation\npollinations_model_name = \"openai-fast\"\n\n########## Ollama Settings\n# No need to set it unless you want to use your own proxy\nollama_base_url = \"\"\n# Check your available models at https://ollama.com/library\nollama_model_name = \"\"\n\n########## OpenAI API Key\n# Get your API key at https://platform.openai.com/api-keys\n# 涔熷彲浠ュ～鍐欏吋瀹?OpenAI Chat Completions 鍗忚鐨勪緵搴斿晢瀵嗛挜锛?\n# 渚嬪 OpenRouter 杩欑被鎻愪緵鑷畾涔?base_url 鐨勫钩鍙般€?\nopenai_api_key = \"\"\n# No need to set it unless you want to use your own proxy\n# 濡傛灉浣跨敤鍏煎 OpenAI 鎺ュ彛鐨勫钩鍙帮紝璇峰湪杩欓噷濉啓瀵瑰簲鐨?base_url銆?\nopenai_base_url = \"\"\n# Check your available models at https://platform.openai.com/account/limits\n# 濡傛灉浣跨敤鍏煎渚涘簲鍟嗭紝璇峰～鍐欒骞冲彴瑕佹眰鐨勬ā鍨?ID銆?\nopenai_model_name = \"gpt-4o-mini\"\n\n########## AIHubMix API Key\n# AIHubMix is OpenAI-compatible and can use one API key to access multiple models.\n# Visit https://aihubmix.com/ to register and get your API key.\naihubmix_api_key = \"\"\naihubmix_base_url = \"https://aihubmix.com/v1\"\naihubmix_model_name = \"gpt-5.4-mini\"\n\n########## Moonshot API Key\n# Visit https://platform.moonshot.cn/console/api-keys to get your API key.\nmoonshot_api_key = \"\"\nmoonshot_base_url = \"https://api.moonshot.cn/v1\"\nmoonshot_model_name = \"moonshot-v1-8k\"\n\n########## OneAPI API Key\n# Visit https://github.com/songquanpeng/one-api to get your API key\noneapi_api_key = \"\"\noneapi_base_url = \"\"\noneapi_model_name = \"\"\n\n########## G4F\n# g4f relies on reverse-engineered third-party endpoints and is not recommended\n# for production. Prefer official APIs, OpenAI-compatible providers, LiteLLM,\n# Ollama, or local inference.\n# If you still need it, install the optional dependency with:\n#   uv sync --extra g4f\nenable_g4f = false\n# Visit https://github.com/xtekky/gpt4free to get more details\n# Supported model list: https://github.com/xtekky/gpt4free/blob/main/g4f/models.py\ng4f_model_name = \"gpt-3.5-turbo\"\n\n########## Azure API Key\n# Visit https://learn.microsoft.com/zh-cn/azure/ai-services/openai/ to get more details\n# API documentation: https://learn.microsoft.com/zh-cn/azure/ai-services/openai/reference\nazure_api_key = \"\"\nazure_base_url = \"\"\nazure_model_name = \"gpt-35-turbo\"        # replace with your model deployment name\nazure_api_version = \"2024-02-15-preview\"\n\n########## Gemini API Key\ngemini_api_key = \"\"\ngemini_model_name = \"gemini-2.5-flash\"\n\n########## Grok API Key\ngrok_api_key = \"\"\ngrok_model_name = \"grok-4.3\"\ngrok_base_url = \"https://api.x.ai/v1\"\n\n########## Groq API Key\n# Visit https://console.groq.com/keys to get your api keys\n# API documentation: https://console.groq.com/docs/api-reference\n# Available models: https://console.groq.com/docs/api-reference#models-list\ngroq_api_key = \"\"\ngroq_model_name = \"llama-3.3-70b-versatile\"\ngroq_base_url = \"https://api.groq.com/openai/v1\"\n\n########## Qwen API Key\n# Visit https://dashscope.console.aliyun.com/apiKey to get your API key\n# Visit below links to get more details\n# https://tongyi.aliyun.com/qianwen/\n# https://help.aliyun.com/zh/dashscope/developer-reference/model-introduction\nqwen_api_key = \"\"\nqwen_model_name = \"qwen-max\"\n\n\n########## MiniMax API Key\n# Visit https://platform.minimax.io or https://platform.minimaxi.com to get your API key\n# MiniMax API is OpenAI-compatible\n# Available models: MiniMax-M3 (default), MiniMax-M2.7, MiniMax-M2.7-highspeed\n# If your API key returns 401 on api.minimax.io, try the China endpoint: https://api.minimaxi.com/v1\nminimax_api_key = \"\"\nminimax_base_url = \"https://api.minimax.io/v1\"\nminimax_model_name = \"MiniMax-M3\"\n\n########## Xiaomi MiMo API Key\n# Xiaomi MiMo API is OpenAI-compatible.\n# Visit https://platform.xiaomimimo.com/docs/zh-CN/quick-start/first-api-call to get more details.\nmimo_api_key = \"\"\nmimo_base_url = \"https://api.xiaomimimo.com/v1\"\nmimo_model_name = \"mimo-v2.5-pro\"\n########## DeepSeek API Key\n# Visit https://platform.deepseek.com/api_keys to get your API key\ndeepseek_api_key = \"\"\ndeepseek_base_url = \"https://api.deepseek.com\"\ndeepseek_model_name = \"deepseek-chat\"\n\n\n########## ModelScope API Key\n# Visit https://modelscope.cn/docs/model-service/API-Inference/intro to get your API key\n# And note that you need to bind your Alibaba Cloud account before using the API.\nmodelscope_api_key = \"\"\nmodelscope_base_url = \"https://api-inference.modelscope.cn/v1/\"\nmodelscope_model_name = \"Qwen/Qwen3-32B\"\n\n########## LiteLLM (AI Gateway 鈥?100+ providers)\n# LiteLLM routes to any LLM provider via a unified interface.\n# Use this for providers not directly supported above: Anthropic (native API),\n# AWS Bedrock, Google Vertex AI, Cohere, Mistral, Together AI, etc.\n# Visit https://docs.litellm.ai/docs/providers for the full list.\n#\n# LiteLLM reads provider API keys from environment variables automatically:\n#   OPENAI_API_KEY, ANTHROPIC_API_KEY, GEMINI_API_KEY, AWS_ACCESS_KEY_ID, etc.\n# Set the appropriate env var for your chosen provider before running.\n#\n# Model name in LiteLLM format: \"provider/model-name\"\n# Examples: \"openai/gpt-4o\", \"anthropic/claude-sonnet-4-20250514\",\n#           \"bedrock/anthropic.claude-3-5-sonnet-20241022-v2:0\",\n#           \"gemini/gemini-2.5-flash\", \"ollama/llama3\"\nlitellm_model_name = \"openai/gpt-4o-mini\"\n\n# Subtitle Provider, \"edge\" or \"whisper\"\n# If empty, the subtitle will not be generated\nsubtitle_provider = \"edge\"\n\n#\n# ImageMagick\n#\n# Once you have installed it, ImageMagick will be automatically detected, except on Windows!\n# On Windows, for example \"C:\\Program Files (x86)\\ImageMagick-7.1.1-Q16-HDRI\\magick.exe\"\n# Download from https://imagemagick.org/archive/binaries/ImageMagick-7.1.1-29-Q16-x64-static.exe\n\n# imagemagick_path = \"C:\\\\Program Files (x86)\\\\ImageMagick-7.1.1-Q16\\\\magick.exe\"\n\n\n#\n# FFMPEG\n#\n# 閫氬父鎯呭喌涓嬶紝ffmpeg 浼氳鑷姩涓嬭浇锛屽苟涓斾細琚嚜鍔ㄦ娴嬪埌銆?\n# 浣嗘槸濡傛灉浣犵殑鐜鏈夐棶棰橈紝鏃犳硶鑷姩涓嬭浇锛屽彲鑳戒細閬囧埌濡備笅閿欒锛?\n#   RuntimeError: No ffmpeg exe could be found.\n#   Install ffmpeg on your system, or set the IMAGEIO_FFMPEG_EXE environment variable.\n# 姝ゆ椂浣犲彲浠ユ墜鍔ㄤ笅杞?ffmpeg 骞惰缃?ffmpeg_path锛屼笅杞藉湴鍧€锛歨ttps://www.gyan.dev/ffmpeg/builds/\n\n# Under normal circumstances, ffmpeg is downloaded automatically and detected automatically.\n# However, if there is an issue with your environment that prevents automatic downloading, you might encounter the following error:\n#   RuntimeError: No ffmpeg exe could be found.\n#   Install ffmpeg on your system, or set the IMAGEIO_FFMPEG_EXE environment variable.\n# In such cases, you can manually download ffmpeg and set the ffmpeg_path, download link: https://www.gyan.dev/ffmpeg/builds/\n\n# ffmpeg_path = \"C:\\\\Users\\\\harry\\\\Downloads\\\\ffmpeg.exe\"\n\n# 瑙嗛缂栫爜鍣ㄣ€傞粯璁?libx264 鏈€绋冲畾锛涢珮绾х敤鎴峰彲浠ュ皾璇曠‖浠剁紪鐮佸櫒鎻愬崌閫熷害銆?\n# 濡傛灉褰撳墠 FFmpeg 鎴栫‖浠堕┍鍔ㄤ笉鏀寔鎵€閫夌紪鐮佸櫒锛岀▼搴忎細鑷姩鍥為€€鍒?libx264銆?\n# 鍙€夊€? \"libx264\", \"h264_nvenc\", \"h264_amf\", \"h264_qsv\", \"h264_mf\", \"h264_videotoolbox\"\n# video_codec = \"libx264\"\n\n# Video encoder. libx264 is the safest default; advanced users can try hardware encoders.\n# If the selected encoder is not supported by the current FFmpeg or driver, the app falls back to libx264.\n# Available values: \"libx264\", \"h264_nvenc\", \"h264_amf\", \"h264_qsv\", \"h264_mf\", \"h264_videotoolbox\"\n# video_codec = \"libx264\"\n\n# CPU 缂栫爜閫熷害棰勮銆傞粯璁?veryfast 浼氭槑鏄惧揩浜庨粯璁?preset锛屼綋绉暐澶т絾鏇撮€傚悎妗岄潰绔揩閫熸垚鐗囥€?video_encode_preset = \"veryfast\"\n\n# 蹇€熺礌鏉愭ā寮忥細Pexels 浼樺厛閫夋嫨 720p 绾у埆绱犳潗锛屽噺灏戜笅杞藉拰閲嶇紪鐮佽€楁椂銆?fast_video_materials = true\nmaterial_preferred_short_side = 720\nmaterial_search_per_page = 12\n\n# OpenBMB VoxCPM 澹伴煶鍏嬮殕鐢辨闈㈢鍐呯疆 Python 鍖呯洿鎺ュ姞杞斤紝涓嶄緷璧栨湰鍦扮綉鍧€鏈嶅姟銆?#########################################################################################\n\n# 褰撹棰戠敓鎴愭垚鍔熷悗锛孉PI鏈嶅姟鎻愪緵鐨勮棰戜笅杞芥帴鍏ョ偣锛岄粯璁や负褰撳墠鏈嶅姟鐨勫湴鍧€鍜岀洃鍚鍙?\n# 姣斿 http://127.0.0.1:8080/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n# 濡傛灉浣犻渶瑕佷娇鐢ㄥ煙鍚嶅澶栨彁渚涙湇鍔★紙涓€鑸細鐢╪ginx鍋氫唬鐞嗭級锛屽垯鍙互璁剧疆涓轰綘鐨勫煙鍚?\n# 姣斿 https://xxxx.com/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n# endpoint=\"https://xxxx.com\"\n\n# When the video is successfully generated, the API service provides a download endpoint for the video, defaulting to the service's current address and listening port.\n# For example, http://127.0.0.1:8080/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n# If you need to provide the service externally using a domain name (usually done with nginx as a proxy), you can set it to your domain name.\n# For example, https://xxxx.com/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n# endpoint=\"https://xxxx.com\"\nendpoint = \"\"\n\n\n# Video material storage location\n# material_directory = \"\"                    # Indicates that video materials will be downloaded to the default folder, the default folder is ./storage/cache_videos under the current project\n# material_directory = \"/user/harry/videos\"  # Indicates that video materials will be downloaded to a specified folder\n# material_directory = \"task\"                # Indicates that video materials will be downloaded to the current task's folder, this method does not allow sharing of already downloaded video materials\n\n# 瑙嗛绱犳潗瀛樻斁浣嶇疆\n# material_directory = \"\"                    #琛ㄧず灏嗚棰戠礌鏉愪笅杞藉埌榛樿鐨勬枃浠跺す锛岄粯璁ゆ枃浠跺す涓哄綋鍓嶉」鐩笅鐨?./storage/cache_videos\n# material_directory = \"/user/harry/videos\"  #琛ㄧず灏嗚棰戠礌鏉愪笅杞藉埌鎸囧畾鐨勬枃浠跺す涓?\n# material_directory = \"task\"                #琛ㄧず灏嗚棰戠礌鏉愪笅杞藉埌褰撳墠浠诲姟鐨勬枃浠跺す涓紝杩欑鏂瑰紡鏃犳硶鍏变韩宸茬粡涓嬭浇鐨勮棰戠礌鏉?\n\nmaterial_directory = \"\"\n\n# Used for state management of the task\nenable_redis = false\nredis_host = \"localhost\"\nredis_port = 6379\nredis_db = 0\nredis_password = \"\"\n\n# 鏂囩敓瑙嗛鏃剁殑鏈€澶у苟鍙戜换鍔℃暟\nmax_concurrent_tasks = 5\n\n# 骞跺彂浠诲姟宸叉弧鍚庣殑鏈€澶ф帓闃熶换鍔℃暟锛岃秴杩囧悗鎺ュ彛杩斿洖 429锛岄伩鍏嶅尶鍚嶈姹傛棤闄愬爢绉?\nmax_queued_tasks = 100\n\n\n[whisper]\n# Only effective when subtitle_provider is \"whisper\"\n\n# Run on GPU with FP16\n# model = WhisperModel(model_size, device=\"cuda\", compute_type=\"float16\")\n\n# Run on GPU with INT8\n# model = WhisperModel(model_size, device=\"cuda\", compute_type=\"int8_float16\")\n\n# Run on CPU with INT8\n# model = WhisperModel(model_size, device=\"cpu\", compute_type=\"int8\")\n\n# recommended model_size: \"large-v3\"\nmodel_size = \"large-v3\"\n# if you want to use GPU, set device=\"cuda\"\ndevice = \"CPU\"\ncompute_type = \"int8\"\n\n\n[proxy]\n### Use a proxy to access the Pexels API\n### Format: \"http://<username>:<password>@<proxy>:<port>\"\n### Example: \"http://user:pass@proxy:1234\"\n### Doc: https://requests.readthedocs.io/en/latest/user/advanced/#proxies\n\n# http = \"http://10.10.1.10:3128\"\n# https = \"http://10.10.1.10:1080\"\n\n[ui]\n# UI related settings\n# 鏄惁闅愯棌鏃ュ織淇℃伅\n# Whether to hide logs in the UI\nhide_log = false\n\n# 瀛楀箷浣嶇疆璁剧疆 (Subtitle position settings)\n# 鍙€夊€?(Available values): \"top\", \"center\", \"bottom\", \"custom\"\n# subtitle_position = \"custom\"\n# 鑷畾涔変綅缃紝琛ㄧず绂婚《閮ㄧ殑鐧惧垎姣?(0-100)锛屼粎褰?subtitle_position = \"custom\" 鏃剁敓鏁?\n# Custom position as percentage from top (0-100), only effective when subtitle_position = \"custom\"\ncustom_position = 75.0\n\n########## Upload-Post (Cross-post to TikTok/Instagram)\n# Upload-Post allows you to automatically cross-post generated videos to TikTok and Instagram.\n# Visit https://upload-post.com to create an account and get your API key.\n# API Documentation: https://docs.upload-post.com\n\n# Enable/disable Upload-Post integration\nupload_post_enabled = false\n\n# Your Upload-Post API key\nupload_post_api_key = \"\"\n\n# Your Upload-Post username\nupload_post_username = \"\"\n\n# Platforms to cross-post to (options: \"tiktok\", \"instagram\")\nupload_post_platforms = [\"tiktok\", \"instagram\"]\n\n# Automatically cross-post videos after generation (if false, you'll need to call the API manually)\nupload_post_auto_upload = false\n"}, "bee2b4c18e499a1daffd1f15bc33f37968da072b": {"t": 1785750529.8082223, "n": 12689, "h": "e425f6c6c2025319", "c": "project_name = \"白泽快速混剪视频\"\nproject_description = \"白泽快速混剪视频桌面工具\"\n\n[app]\nvideo_source = \"pexels\" # \"pexels\" or \"pixabay\"\n\n# 是否隐藏配置面板\nhide_config = false\n\n# 是否校验外部 API 和素材下载的 TLS 证书。\n# 默认必须开启，避免 Pexels/Pixabay API key 和下载素材被中间人攻击篡改。\n# 只有在企业代理或自签证书环境明确需要时，才临时改为 false。\ntls_verify = true\n\n# Pexels API Key\n# Register at https://www.pexels.com/api/ to get your API key.\n# You can use multiple keys to avoid rate limits.\n# For example: pexels_api_keys = [\"123adsf4567adf89\",\"abd1321cd13efgfdfhi\"]\n# 特别注意格式，Key 用英文双引号括起来，多个Key用逗号隔开\npexels_api_keys = []\n\n# Pixabay API Key\n# Register at https://pixabay.com/api/docs/ to get your API key.\n# You can use multiple keys to avoid rate limits.\n# For example: pixabay_api_keys = [\"123adsf4567adf89\",\"abd1321cd13efgfdfhi\"]\n# 特别注意格式，Key 用英文双引号括起来，多个Key用逗号隔开\npixabay_api_keys = []\n\n# 支持的提供商 (Supported providers):\n#   openai\n#   aihubmix   (OpenAI-compatible AI model gateway)\n#   moonshot    (月之暗面)\n#   azure\n#   qwen        (通义千问)\n#   deepseek\n#   gemini\n#   ollama\n#   g4f        (disabled by default; set enable_g4f=true only after accepting its risks)\n#   oneapi\n#   cloudflare\n#   minimax\n#   mimo       (Xiaomi MiMo)\n#   ernie       (文心一言)\n#   modelscope  (魔搭社区)\n#   litellm     (100+ providers via LiteLLM gateway)\nllm_provider = \"openai\"\n\n########## Pollinations AI Settings\n# Visit https://pollinations.ai/ to learn more\n# API Key is optional - leave empty for public access\npollinations_api_key = \"\"\n# Default base URL for Pollinations API\npollinations_base_url = \"https://pollinations.ai/api/v1\"\n# Default model for text generation\npollinations_model_name = \"openai-fast\"\n\n########## Ollama Settings\n# No need to set it unless you want to use your own proxy\nollama_base_url = \"\"\n# Check your available models at https://ollama.com/library\nollama_model_name = \"\"\n\n########## OpenAI API Key\n# Get your API key at https://platform.openai.com/api-keys\n# 也可以填写兼容 OpenAI Chat Completions 协议的供应商密钥，\n# 例如 OpenRouter 这类提供自定义 base_url 的平台。\nopenai_api_key = \"\"\n# No need to set it unless you want to use your own proxy\n# 如果使用兼容 OpenAI 接口的平台，请在这里填写对应的 base_url。\nopenai_base_url = \"\"\n# Check your available models at https://platform.openai.com/account/limits\n# 如果使用兼容供应商，请填写该平台要求的模型 ID。\nopenai_model_name = \"gpt-4o-mini\"\n\n########## AIHubMix API Key\n# AIHubMix is OpenAI-compatible and can use one API key to access multiple models.\n# Visit https://aihubmix.com/ to register and get your API key.\naihubmix_api_key = \"\"\naihubmix_base_url = \"https://aihubmix.com/v1\"\naihubmix_model_name = \"gpt-5.4-mini\"\n\n########## Moonshot API Key\n# Visit https://platform.moonshot.cn/console/api-keys to get your API key.\nmoonshot_api_key = \"\"\nmoonshot_base_url = \"https://api.moonshot.cn/v1\"\nmoonshot_model_name = \"moonshot-v1-8k\"\n\n########## OneAPI API Key\n# Visit https://github.com/songquanpeng/one-api to get your API key\noneapi_api_key = \"\"\noneapi_base_url = \"\"\noneapi_model_name = \"\"\n\n########## G4F\n# g4f relies on reverse-engineered third-party endpoints and is not recommended\n# for production. Prefer official APIs, OpenAI-compatible providers, LiteLLM,\n# Ollama, or local inference.\n# If you still need it, install the optional dependency with:\n#   uv sync --extra g4f\nenable_g4f = false\n# Visit https://github.com/xtekky/gpt4free to get more details\n# Supported model list: https://github.com/xtekky/gpt4free/blob/main/g4f/models.py\ng4f_model_name = \"gpt-3.5-turbo\"\n\n########## Azure API Key\n# Visit https://learn.microsoft.com/zh-cn/azure/ai-services/openai/ to get more details\n# API documentation: https://learn.microsoft.com/zh-cn/azure/ai-services/openai/reference\nazure_api_key = \"\"\nazure_base_url = \"\"\nazure_model_name = \"gpt-35-turbo\"        # replace with your model deployment name\nazure_api_version = \"2024-02-15-preview\"\n\n########## Gemini API Key\ngemini_api_key = \"\"\ngemini_model_name = \"gemini-2.5-flash\"\n\n########## Grok API Key\ngrok_api_key = \"\"\ngrok_model_name = \"grok-4.3\"\ngrok_base_url = \"https://api.x.ai/v1\"\n\n########## Groq API Key\n# Visit https://console.groq.com/keys to get your api keys\n# API documentation: https://console.groq.com/docs/api-reference\n# Available models: https://console.groq.com/docs/api-reference#models-list\ngroq_api_key = \"\"\ngroq_model_name = \"llama-3.3-70b-versatile\"\ngroq_base_url = \"https://api.groq.com/openai/v1\"\n\n########## Qwen API Key\n# Visit https://dashscope.console.aliyun.com/apiKey to get your API key\n# Visit below links to get more details\n# https://tongyi.aliyun.com/qianwen/\n# https://help.aliyun.com/zh/dashscope/developer-reference/model-introduction\nqwen_api_key = \"\"\nqwen_model_name = \"qwen-max\"\n\n\n########## MiniMax API Key\n# Visit https://platform.minimax.io or https://platform.minimaxi.com to get your API key\n# MiniMax API is OpenAI-compatible\n# Available models: MiniMax-M3 (default), MiniMax-M2.7, MiniMax-M2.7-highspeed\n# If your API key returns 401 on api.minimax.io, try the China endpoint: https://api.minimaxi.com/v1\nminimax_api_key = \"\"\nminimax_base_url = \"https://api.minimax.io/v1\"\nminimax_model_name = \"MiniMax-M3\"\n\n########## Xiaomi MiMo API Key\n# Xiaomi MiMo API is OpenAI-compatible.\n# Visit https://platform.xiaomimimo.com/docs/zh-CN/quick-start/first-api-call to get more details.\nmimo_api_key = \"\"\nmimo_base_url = \"https://api.xiaomimimo.com/v1\"\nmimo_model_name = \"mimo-v2.5-pro\"\n########## DeepSeek API Key\n# Visit https://platform.deepseek.com/api_keys to get your API key\ndeepseek_api_key = \"\"\ndeepseek_base_url = \"https://api.deepseek.com\"\ndeepseek_model_name = \"deepseek-chat\"\n\n\n########## ModelScope API Key\n# Visit https://modelscope.cn/docs/model-service/API-Inference/intro to get your API key\n# And note that you need to bind your Alibaba Cloud account before using the API.\nmodelscope_api_key = \"\"\nmodelscope_base_url = \"https://api-inference.modelscope.cn/v1/\"\nmodelscope_model_name = \"Qwen/Qwen3-32B\"\n\n########## LiteLLM (AI Gateway — 100+ providers)\n# LiteLLM routes to any LLM provider via a unified interface.\n# Use this for providers not directly supported above: Anthropic (native API),\n# AWS Bedrock, Google Vertex AI, Cohere, Mistral, Together AI, etc.\n# Visit https://docs.litellm.ai/docs/providers for the full list.\n#\n# LiteLLM reads provider API keys from environment variables automatically:\n#   OPENAI_API_KEY, ANTHROPIC_API_KEY, GEMINI_API_KEY, AWS_ACCESS_KEY_ID, etc.\n# Set the appropriate env var for your chosen provider before running.\n#\n# Model name in LiteLLM format: \"provider/model-name\"\n# Examples: \"openai/gpt-4o\", \"anthropic/claude-sonnet-4-20250514\",\n#           \"bedrock/anthropic.claude-3-5-sonnet-20241022-v2:0\",\n#           \"gemini/gemini-2.5-flash\", \"ollama/llama3\"\nlitellm_model_name = \"openai/gpt-4o-mini\"\n\n# Subtitle Provider, \"edge\" or \"whisper\"\n# If empty, the subtitle will not be generated\nsubtitle_provider = \"edge\"\n\n#\n# ImageMagick\n#\n# Once you have installed it, ImageMagick will be automatically detected, except on Windows!\n# On Windows, for example \"C:\\Program Files (x86)\\ImageMagick-7.1.1-Q16-HDRI\\magick.exe\"\n# Download from https://imagemagick.org/archive/binaries/ImageMagick-7.1.1-29-Q16-x64-static.exe\n\n# imagemagick_path = \"C:\\\\Program Files (x86)\\\\ImageMagick-7.1.1-Q16\\\\magick.exe\"\n\n\n#\n# FFMPEG\n#\n# 通常情况下，ffmpeg 会被自动下载，并且会被自动检测到。\n# 但是如果你的环境有问题，无法自动下载，可能会遇到如下错误：\n#   RuntimeError: No ffmpeg exe could be found.\n#   Install ffmpeg on your system, or set the IMAGEIO_FFMPEG_EXE environment variable.\n# 此时你可以手动下载 ffmpeg 并设置 ffmpeg_path，下载地址：https://www.gyan.dev/ffmpeg/builds/\n\n# Under normal circumstances, ffmpeg is downloaded automatically and detected automatically.\n# However, if there is an issue with your environment that prevents automatic downloading, you might encounter the following error:\n#   RuntimeError: No ffmpeg exe could be found.\n#   Install ffmpeg on your system, or set the IMAGEIO_FFMPEG_EXE environment variable.\n# In such cases, you can manually download ffmpeg and set the ffmpeg_path, download link: https://www.gyan.dev/ffmpeg/builds/\n\n# ffmpeg_path = \"C:\\\\Users\\\\harry\\\\Downloads\\\\ffmpeg.exe\"\n\n# 视频编码器。默认 libx264 最稳定；高级用户可以尝试硬件编码器提升速度。\n# 如果当前 FFmpeg 或硬件驱动不支持所选编码器，程序会自动回退到 libx264。\n# 可选值: \"libx264\", \"h264_nvenc\", \"h264_amf\", \"h264_qsv\", \"h264_mf\", \"h264_videotoolbox\"\n# video_codec = \"libx264\"\n\n# Video encoder. libx264 is the safest default; advanced users can try hardware encoders.\n# If the selected encoder is not supported by the current FFmpeg or driver, the app falls back to libx264.\n# Available values: \"libx264\", \"h264_nvenc\", \"h264_amf\", \"h264_qsv\", \"h264_mf\", \"h264_videotoolbox\"\n# video_codec = \"libx264\"\n\n# CPU 编码速度预设。默认 veryfast 会明显快于默认 preset，体积略大但更适合桌面端快速成片。\nvideo_encode_preset = \"veryfast\"\n\n# 快速素材模式：Pexels 优先选择 720p 级别素材，减少下载和重编码耗时。\nfast_video_materials = true\nmaterial_preferred_short_side = 720\nmaterial_search_per_page = 12\n\n# OpenBMB VoxCPM 声音克隆由桌面端内置 Python 包直接加载，不依赖本地网址服务。\n#########################################################################################\n\n# 当视频生成成功后，API服务提供的视频下载接入点，默认为当前服务的地址和监听端口\n# 比如 http://127.0.0.1:8080/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n# 如果你需要使用域名对外提供服务（一般会用nginx做代理），则可以设置为你的域名\n# 比如 https://xxxx.com/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n# endpoint=\"https://xxxx.com\"\n\n# When the video is successfully generated, the API service provides a download endpoint for the video, defaulting to the service's current address and listening port.\n# For example, http://127.0.0.1:8080/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n# If you need to provide the service externally using a domain name (usually done with nginx as a proxy), you can set it to your domain name.\n# For example, https://xxxx.com/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n# endpoint=\"https://xxxx.com\"\nendpoint = \"\"\n\n\n# Video material storage location\n# material_directory = \"\"                    # Indicates that video materials will be downloaded to the default folder, the default folder is ./storage/cache_videos under the current project\n# material_directory = \"/user/harry/videos\"  # Indicates that video materials will be downloaded to a specified folder\n# material_directory = \"task\"                # Indicates that video materials will be downloaded to the current task's folder, this method does not allow sharing of already downloaded video materials\n\n# 视频素材存放位置\n# material_directory = \"\"                    #表示将视频素材下载到默认的文件夹，默认文件夹为当前项目下的 ./storage/cache_videos\n# material_directory = \"/user/harry/videos\"  #表示将视频素材下载到指定的文件夹中\n# material_directory = \"task\"                #表示将视频素材下载到当前任务的文件夹中，这种方式无法共享已经下载的视频素材\n\nmaterial_directory = \"\"\n\n# Used for state management of the task\nenable_redis = false\nredis_host = \"localhost\"\nredis_port = 6379\nredis_db = 0\nredis_password = \"\"\n\n# 文生视频时的最大并发任务数\nmax_concurrent_tasks = 5\n\n# 并发任务已满后的最大排队任务数，超过后接口返回 429，避免匿名请求无限堆积\nmax_queued_tasks = 100\n\n\n[whisper]\n# Only effective when subtitle_provider is \"whisper\"\n\n# Run on GPU with FP16\n# model = WhisperModel(model_size, device=\"cuda\", compute_type=\"float16\")\n\n# Run on GPU with INT8\n# model = WhisperModel(model_size, device=\"cuda\", compute_type=\"int8_float16\")\n\n# Run on CPU with INT8\n# model = WhisperModel(model_size, device=\"cpu\", compute_type=\"int8\")\n\n# recommended model_size: \"large-v3\"\nmodel_size = \"large-v3\"\n# if you want to use GPU, set device=\"cuda\"\ndevice = \"CPU\"\ncompute_type = \"int8\"\n\n\n[proxy]\n### Use a proxy to access the Pexels API\n### Format: \"http://<username>:<password>@<proxy>:<port>\"\n### Example: \"http://user:pass@proxy:1234\"\n### Doc: https://requests.readthedocs.io/en/latest/user/advanced/#proxies\n\n# http = \"http://10.10.1.10:3128\"\n# https = \"http://10.10.1.10:1080\"\n\n[ui]\n# UI related settings\n# 是否隐藏日志信息\n# Whether to hide logs in the UI\nhide_log = false\n\n# 字幕位置设置 (Subtitle position settings)\n# 可选值 (Available values): \"top\", \"center\", \"bottom\", \"custom\"\n# subtitle_position = \"custom\"\n# 自定义位置，表示离顶部的百分比 (0-100)，仅当 subtitle_position = \"custom\" 时生效\n# Custom position as percentage from top (0-100), only effective when subtitle_position = \"custom\"\ncustom_position = 75.0\n\n########## Upload-Post (Cross-post to TikTok/Instagram)\n# Upload-Post allows you to automatically cross-post generated videos to TikTok and Instagram.\n# Visit https://upload-post.com to create an account and get your API key.\n# API Documentation: https://docs.upload-post.com\n\n# Enable/disable Upload-Post integration\nupload_post_enabled = false\n\n# Your Upload-Post API key\nupload_post_api_key = \"\"\n\n# Your Upload-Post username\nupload_post_username = \"\"\n\n# Platforms to cross-post to (options: \"tiktok\", \"instagram\")\nupload_post_platforms = [\"tiktok\", \"instagram\"]\n\n# Automatically cross-post videos after generation (if false, you'll need to call the API manually)\nupload_post_auto_upload = false\n"}, "ed1dc678d5c05cf8b265a34d3e590a17e32b7ecf": {"t": 1785750531.2983947, "n": 13012, "h": "f63697798f76c54c", "c": "[app]\nvideo_source = \"pexels\" # \"pexels\" or \"pixabay\"\n\n# 是否隐藏配置面板\nhide_config = false\n\n# Azure TTS V1(edge_tts) 单次流式请求超时时间，单位秒。\n# 网络异常、服务端限流或 voice 与文本语言不匹配时，edge_tts 可能长期卡住。\n# 默认 30 秒可避免 WebUI 任务无反馈；慢网络或代理环境可适当调大。\n# 设置为 0 表示禁用超时。\nedge_tts_timeout = 30\n\n# 是否校验外部 API 和素材下载的 TLS 证书。\n# 默认必须开启，避免 Pexels/Pixabay API key 和下载素材被中间人攻击篡改。\n# 只有在企业代理或自签证书环境明确需要时，才临时改为 false。\ntls_verify = true\n\n# Pexels API Key\n# Register at https://www.pexels.com/api/ to get your API key.\n# You can use multiple keys to avoid rate limits.\n# For example: pexels_api_keys = [\"123adsf4567adf89\",\"abd1321cd13efgfdfhi\"]\n# 特别注意格式，Key 用英文双引号括起来，多个Key用逗号隔开\npexels_api_keys = []\n\n# Pixabay API Key\n# Register at https://pixabay.com/api/docs/ to get your API key.\n# You can use multiple keys to avoid rate limits.\n# For example: pixabay_api_keys = [\"123adsf4567adf89\",\"abd1321cd13efgfdfhi\"]\n# 特别注意格式，Key 用英文双引号括起来，多个Key用逗号隔开\npixabay_api_keys = []\n\n# 支持的提供商 (Supported providers):\n#   openai\n#   aihubmix   (OpenAI-compatible AI model gateway)\n#   moonshot    (月之暗面)\n#   azure\n#   qwen        (通义千问)\n#   deepseek\n#   gemini\n#   ollama\n#   g4f        (disabled by default; set enable_g4f=true only after accepting its risks)\n#   oneapi\n#   cloudflare\n#   minimax\n#   mimo       (Xiaomi MiMo)\n#   ernie       (文心一言)\n#   modelscope  (魔搭社区)\n#   litellm     (100+ providers via LiteLLM gateway)\nllm_provider = \"openai\"\n\n########## Pollinations AI Settings\n# Visit https://pollinations.ai/ to learn more\n# API Key is optional - leave empty for public access\npollinations_api_key = \"\"\n# Default base URL for Pollinations API\npollinations_base_url = \"https://pollinations.ai/api/v1\"\n# Default model for text generation\npollinations_model_name = \"openai-fast\"\n\n########## Ollama Settings\n# No need to set it unless you want to use your own proxy\nollama_base_url = \"\"\n# Check your available models at https://ollama.com/library\nollama_model_name = \"\"\n\n########## OpenAI API Key\n# Get your API key at https://platform.openai.com/api-keys\n# 也可以填写兼容 OpenAI Chat Completions 协议的供应商密钥，\n# 例如 OpenRouter 这类提供自定义 base_url 的平台。\nopenai_api_key = \"\"\n# No need to set it unless you want to use your own proxy\n# 如果使用兼容 OpenAI 接口的平台，请在这里填写对应的 base_url。\nopenai_base_url = \"\"\n# Check your available models at https://platform.openai.com/account/limits\n# 如果使用兼容供应商，请填写该平台要求的模型 ID。\nopenai_model_name = \"gpt-4o-mini\"\n\n########## AIHubMix API Key\n# AIHubMix is OpenAI-compatible and can use one API key to access multiple models.\n# Visit https://aihubmix.com/?aff=CEve to register and get your API key.\naihubmix_api_key = \"\"\naihubmix_base_url = \"https://aihubmix.com/v1\"\naihubmix_model_name = \"gpt-5.4-mini\"\n\n########## Moonshot API Key\n# Visit https://platform.moonshot.cn/console/api-keys to get your API key.\nmoonshot_api_key = \"\"\nmoonshot_base_url = \"https://api.moonshot.cn/v1\"\nmoonshot_model_name = \"moonshot-v1-8k\"\n\n########## OneAPI API Key\n# Visit https://github.com/songquanpeng/one-api to get your API key\noneapi_api_key = \"\"\noneapi_base_url = \"\"\noneapi_model_name = \"\"\n\n########## G4F\n# g4f relies on reverse-engineered third-party endpoints and is not recommended\n# for production. Prefer official APIs, OpenAI-compatible providers, LiteLLM,\n# Ollama, or local inference.\n# If you still need it, install the optional dependency with:\n#   uv sync --extra g4f\nenable_g4f = false\n# Visit https://github.com/xtekky/gpt4free to get more details\n# Supported model list: https://github.com/xtekky/gpt4free/blob/main/g4f/models.py\ng4f_model_name = \"gpt-3.5-turbo\"\n\n########## Azure API Key\n# Visit https://learn.microsoft.com/zh-cn/azure/ai-services/openai/ to get more details\n# API documentation: https://learn.microsoft.com/zh-cn/azure/ai-services/openai/reference\nazure_api_key = \"\"\nazure_base_url = \"\"\nazure_model_name = \"gpt-35-turbo\"        # replace with your model deployment name\nazure_api_version = \"2024-02-15-preview\"\n\n########## Gemini API Key\ngemini_api_key = \"\"\ngemini_model_name = \"gemini-2.5-flash\"\n\n########## Grok API Key\ngrok_api_key = \"\"\ngrok_model_name = \"grok-4.3\"\ngrok_base_url = \"https://api.x.ai/v1\"\n\n########## Groq API Key\n# Visit https://console.groq.com/keys to get your api keys\n# API documentation: https://console.groq.com/docs/api-reference\n# Available models: https://console.groq.com/docs/api-reference#models-list\ngroq_api_key = \"\"\ngroq_model_name = \"llama-3.3-70b-versatile\"\ngroq_base_url = \"https://api.groq.com/openai/v1\"\n\n########## Qwen API Key\n# Visit https://dashscope.console.aliyun.com/apiKey to get your API key\n# Visit below links to get more details\n# https://tongyi.aliyun.com/qianwen/\n# https://help.aliyun.com/zh/dashscope/developer-reference/model-introduction\nqwen_api_key = \"\"\nqwen_model_name = \"qwen-max\"\n\n\n########## MiniMax API Key\n# Visit https://platform.minimax.io or https://platform.minimaxi.com to get your API key\n# MiniMax API is OpenAI-compatible\n# Available models: MiniMax-M3 (default), MiniMax-M2.7, MiniMax-M2.7-highspeed\n# If your API key returns 401 on api.minimax.io, try the China endpoint: https://api.minimaxi.com/v1\nminimax_api_key = \"\"\nminimax_base_url = \"https://api.minimax.io/v1\"\nminimax_model_name = \"MiniMax-M3\"\n\n########## Xiaomi MiMo API Key\n# Xiaomi MiMo API is OpenAI-compatible.\n# Visit https://platform.xiaomimimo.com/docs/zh-CN/quick-start/first-api-call to get more details.\nmimo_api_key = \"\"\nmimo_base_url = \"https://api.xiaomimimo.com/v1\"\nmimo_model_name = \"mimo-v2.5-pro\"\n# Xiaomi MiMo TTS uses the same API key and base_url as MiMo LLM.\nmimo_tts_model_name = \"mimo-v2.5-tts\"\n# Optional natural language style prompt for MiMo TTS.\nmimo_tts_style_prompt = \"请用自然、清晰、适合短视频旁白的语气朗读。\"\n\n########## DeepSeek API Key\n# Visit https://platform.deepseek.com/api_keys to get your API key\ndeepseek_api_key = \"\"\ndeepseek_base_url = \"https://api.deepseek.com\"\ndeepseek_model_name = \"deepseek-chat\"\n\n\n########## ModelScope API Key\n# Visit https://modelscope.cn/docs/model-service/API-Inference/intro to get your API key\n# And note that you need to bind your Alibaba Cloud account before using the API.\nmodelscope_api_key = \"\"\nmodelscope_base_url = \"https://api-inference.modelscope.cn/v1/\"\nmodelscope_model_name = \"Qwen/Qwen3-32B\"\n\n########## LiteLLM (AI Gateway — 100+ providers)\n# LiteLLM routes to any LLM provider via a unified interface.\n# Use this for providers not directly supported above: Anthropic (native API),\n# AWS Bedrock, Google Vertex AI, Cohere, Mistral, Together AI, etc.\n# Visit https://docs.litellm.ai/docs/providers for the full list.\n#\n# LiteLLM reads provider API keys from environment variables automatically:\n#   OPENAI_API_KEY, ANTHROPIC_API_KEY, GEMINI_API_KEY, AWS_ACCESS_KEY_ID, etc.\n# Set the appropriate env var for your chosen provider before running.\n#\n# Model name in LiteLLM format: \"provider/model-name\"\n# Examples: \"openai/gpt-4o\", \"anthropic/claude-sonnet-4-20250514\",\n#           \"bedrock/anthropic.claude-3-5-sonnet-20241022-v2:0\",\n#           \"gemini/gemini-2.5-flash\", \"ollama/llama3\"\nlitellm_model_name = \"openai/gpt-4o-mini\"\n\n# Subtitle Provider, \"edge\" or \"whisper\"\n# If empty, the subtitle will not be generated\nsubtitle_provider = \"edge\"\n\n#\n# ImageMagick\n#\n# Once you have installed it, ImageMagick will be automatically detected, except on Windows!\n# On Windows, for example \"C:\\Program Files (x86)\\ImageMagick-7.1.1-Q16-HDRI\\magick.exe\"\n# Download from https://imagemagick.org/archive/binaries/ImageMagick-7.1.1-29-Q16-x64-static.exe\n\n# imagemagick_path = \"C:\\\\Program Files (x86)\\\\ImageMagick-7.1.1-Q16\\\\magick.exe\"\n\n\n#\n# FFMPEG\n#\n# 通常情况下，ffmpeg 会被自动下载，并且会被自动检测到。\n# 但是如果你的环境有问题，无法自动下载，可能会遇到如下错误：\n#   RuntimeError: No ffmpeg exe could be found.\n#   Install ffmpeg on your system, or set the IMAGEIO_FFMPEG_EXE environment variable.\n# 此时你可以手动下载 ffmpeg 并设置 ffmpeg_path，下载地址：https://www.gyan.dev/ffmpeg/builds/\n\n# Under normal circumstances, ffmpeg is downloaded automatically and detected automatically.\n# However, if there is an issue with your environment that prevents automatic downloading, you might encounter the following error:\n#   RuntimeError: No ffmpeg exe could be found.\n#   Install ffmpeg on your system, or set the IMAGEIO_FFMPEG_EXE environment variable.\n# In such cases, you can manually download ffmpeg and set the ffmpeg_path, download link: https://www.gyan.dev/ffmpeg/builds/\n\n# ffmpeg_path = \"C:\\\\Users\\\\harry\\\\Downloads\\\\ffmpeg.exe\"\n\n# 视频编码器。默认 libx264 最稳定；高级用户可以尝试硬件编码器提升速度。\n# 如果当前 FFmpeg 或硬件驱动不支持所选编码器，程序会自动回退到 libx264。\n# 可选值: \"libx264\", \"h264_nvenc\", \"h264_amf\", \"h264_qsv\", \"h264_mf\", \"h264_videotoolbox\"\n# video_codec = \"libx264\"\n\n# Video encoder. libx264 is the safest default; advanced users can try hardware encoders.\n# If the selected encoder is not supported by the current FFmpeg or driver, the app falls back to libx264.\n# Available values: \"libx264\", \"h264_nvenc\", \"h264_amf\", \"h264_qsv\", \"h264_mf\", \"h264_videotoolbox\"\n# video_codec = \"libx264\"\n#########################################################################################\n\n# 当视频生成成功后，API服务提供的视频下载接入点，默认为当前服务的地址和监听端口\n# 比如 http://127.0.0.1:8080/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n# 如果你需要使用域名对外提供服务（一般会用nginx做代理），则可以设置为你的域名\n# 比如 https://xxxx.com/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n# endpoint=\"https://xxxx.com\"\n\n# When the video is successfully generated, the API service provides a download endpoint for the video, defaulting to the service's current address and listening port.\n# For example, http://127.0.0.1:8080/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n# If you need to provide the service externally using a domain name (usually done with nginx as a proxy), you can set it to your domain name.\n# For example, https://xxxx.com/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n# endpoint=\"https://xxxx.com\"\nendpoint = \"\"\n\n\n# Video material storage location\n# material_directory = \"\"                    # Indicates that video materials will be downloaded to the default folder, the default folder is ./storage/cache_videos under the current project\n# material_directory = \"/user/harry/videos\"  # Indicates that video materials will be downloaded to a specified folder\n# material_directory = \"task\"                # Indicates that video materials will be downloaded to the current task's folder, this method does not allow sharing of already downloaded video materials\n\n# 视频素材存放位置\n# material_directory = \"\"                    #表示将视频素材下载到默认的文件夹，默认文件夹为当前项目下的 ./storage/cache_videos\n# material_directory = \"/user/harry/videos\"  #表示将视频素材下载到指定的文件夹中\n# material_directory = \"task\"                #表示将视频素材下载到当前任务的文件夹中，这种方式无法共享已经下载的视频素材\n\nmaterial_directory = \"\"\n\n# Used for state management of the task\nenable_redis = false\nredis_host = \"localhost\"\nredis_port = 6379\nredis_db = 0\nredis_password = \"\"\n\n# 文生视频时的最大并发任务数\nmax_concurrent_tasks = 5\n\n# 并发任务已满后的最大排队任务数，超过后接口返回 429，避免匿名请求无限堆积\nmax_queued_tasks = 100\n\n\n[whisper]\n# Only effective when subtitle_provider is \"whisper\"\n\n# Run on GPU with FP16\n# model = WhisperModel(model_size, device=\"cuda\", compute_type=\"float16\")\n\n# Run on GPU with INT8\n# model = WhisperModel(model_size, device=\"cuda\", compute_type=\"int8_float16\")\n\n# Run on CPU with INT8\n# model = WhisperModel(model_size, device=\"cpu\", compute_type=\"int8\")\n\n# recommended model_size: \"large-v3\"\nmodel_size = \"large-v3\"\n# if you want to use GPU, set device=\"cuda\"\ndevice = \"CPU\"\ncompute_type = \"int8\"\n\n\n[proxy]\n### Use a proxy to access the Pexels API\n### Format: \"http://<username>:<password>@<proxy>:<port>\"\n### Example: \"http://user:pass@proxy:1234\"\n### Doc: https://requests.readthedocs.io/en/latest/user/advanced/#proxies\n\n# http = \"http://10.10.1.10:3128\"\n# https = \"http://10.10.1.10:1080\"\n\n[azure]\n# Azure Speech API Key\n# Get your API key at https://portal.azure.com/#view/Microsoft_Azure_ProjectOxford/CognitiveServicesHub/~/SpeechServices\nspeech_key = \"\"\nspeech_region = \"\"\n\n[siliconflow]\n# SiliconFlow API Key\n# Get your API key at https://siliconflow.cn\napi_key = \"\"\n\n[ui]\n# UI related settings\n# 是否隐藏日志信息\n# Whether to hide logs in the UI\nhide_log = false\n\n# 字幕位置设置 (Subtitle position settings)\n# 可选值 (Available values): \"top\", \"center\", \"bottom\", \"custom\"\n# subtitle_position = \"custom\"\n# 自定义位置，表示离顶部的百分比 (0-100)，仅当 subtitle_position = \"custom\" 时生效\n# Custom position as percentage from top (0-100), only effective when subtitle_position = \"custom\"\n# custom_position = 70.0\n\n########## Upload-Post (Cross-post to TikTok/Instagram)\n# Upload-Post allows you to automatically cross-post generated videos to TikTok and Instagram.\n# Visit https://upload-post.com to create an account and get your API key.\n# API Documentation: https://docs.upload-post.com\n\n# Enable/disable Upload-Post integration\nupload_post_enabled = false\n\n# Your Upload-Post API key\nupload_post_api_key = \"\"\n\n# Your Upload-Post username\nupload_post_username = \"\"\n\n# Platforms to cross-post to (options: \"tiktok\", \"instagram\")\nupload_post_platforms = [\"tiktok\", \"instagram\"]\n\n# Automatically cross-post videos after generation (if false, you'll need to call the API manually)\nupload_post_auto_upload = false\n"}, "dd36f6f029f0e3f3798ff91f8d9e02a25d327356": {"t": 1785750532.9605608, "n": 12676, "h": "57c1d2d6110e0006", "c": "[app]\nvideo_source = \"pexels\" # \"pexels\" or \"pixabay\"\n\n# 是否隐藏配置面板\nhide_config = false\n\n# Azure TTS V1(edge_tts) 单次流式请求超时时间，单位秒。\n# 网络异常、服务端限流或 voice 与文本语言不匹配时，edge_tts 可能长期卡住。\n# 默认 30 秒可避免 WebUI 任务无反馈；慢网络或代理环境可适当调大。\n# 设置为 0 表示禁用超时。\nedge_tts_timeout = 30\n\n# 是否校验外部 API 和素材下载的 TLS 证书。\n# 默认必须开启，避免 Pexels/Pixabay API key 和下载素材被中间人攻击篡改。\n# 只有在企业代理或自签证书环境明确需要时，才临时改为 false。\ntls_verify = true\n\n# Pexels API Key\n# Register at https://www.pexels.com/api/ to get your API key.\n# You can use multiple keys to avoid rate limits.\n# For example: pexels_api_keys = [\"123adsf4567adf89\",\"abd1321cd13efgfdfhi\"]\n# 特别注意格式，Key 用英文双引号括起来，多个Key用逗号隔开\npexels_api_keys = []\n\n# Pixabay API Key\n# Register at https://pixabay.com/api/docs/ to get your API key.\n# You can use multiple keys to avoid rate limits.\n# For example: pixabay_api_keys = [\"123adsf4567adf89\",\"abd1321cd13efgfdfhi\"]\n# 特别注意格式，Key 用英文双引号括起来，多个Key用逗号隔开\npixabay_api_keys = []\n\n# 支持的提供商 (Supported providers):\n#   openai\n#   aihubmix   (OpenAI-compatible AI model gateway)\n#   moonshot    (月之暗面)\n#   azure\n#   qwen        (通义千问)\n#   deepseek\n#   gemini\n#   ollama\n#   g4f        (disabled by default; set enable_g4f=true only after accepting its risks)\n#   oneapi\n#   cloudflare\n#   minimax\n#   mimo       (Xiaomi MiMo)\n#   ernie       (文心一言)\n#   modelscope  (魔搭社区)\n#   litellm     (100+ providers via LiteLLM gateway)\nllm_provider = \"openai\"\n\n########## Pollinations AI Settings\n# Visit https://pollinations.ai/ to learn more\n# API Key is optional - leave empty for public access\npollinations_api_key = \"\"\n# Default base URL for Pollinations API\npollinations_base_url = \"https://pollinations.ai/api/v1\"\n# Default model for text generation\npollinations_model_name = \"openai-fast\"\n\n########## Ollama Settings\n# No need to set it unless you want to use your own proxy\nollama_base_url = \"\"\n# Check your available models at https://ollama.com/library\nollama_model_name = \"\"\n\n########## OpenAI API Key\n# Get your API key at https://platform.openai.com/api-keys\n# 也可以填写兼容 OpenAI Chat Completions 协议的供应商密钥，\n# 例如 OpenRouter 这类提供自定义 base_url 的平台。\nopenai_api_key = \"\"\n# No need to set it unless you want to use your own proxy\n# 如果使用兼容 OpenAI 接口的平台，请在这里填写对应的 base_url。\nopenai_base_url = \"\"\n# Check your available models at https://platform.openai.com/account/limits\n# 如果使用兼容供应商，请填写该平台要求的模型 ID。\nopenai_model_name = \"gpt-4o-mini\"\n\n########## AIHubMix API Key\n# AIHubMix is OpenAI-compatible and can use one API key to access multiple models.\n# Visit https://aihubmix.com/?aff=CEve to register and get your API key.\naihubmix_api_key = \"\"\naihubmix_base_url = \"https://aihubmix.com/v1\"\naihubmix_model_name = \"gpt-5.4-mini\"\n\n########## Moonshot API Key\n# Visit https://platform.moonshot.cn/console/api-keys to get your API key.\nmoonshot_api_key = \"\"\nmoonshot_base_url = \"https://api.moonshot.cn/v1\"\nmoonshot_model_name = \"moonshot-v1-8k\"\n\n########## OneAPI API Key\n# Visit https://github.com/songquanpeng/one-api to get your API key\noneapi_api_key = \"\"\noneapi_base_url = \"\"\noneapi_model_name = \"\"\n\n########## G4F\n# g4f relies on reverse-engineered third-party endpoints and is not recommended\n# for production. Prefer official APIs, OpenAI-compatible providers, LiteLLM,\n# Ollama, or local inference.\n# If you still need it, install the optional dependency with:\n#   uv sync --extra g4f\nenable_g4f = false\n# Visit https://github.com/xtekky/gpt4free to get more details\n# Supported model list: https://github.com/xtekky/gpt4free/blob/main/g4f/models.py\ng4f_model_name = \"gpt-3.5-turbo\"\n\n########## Azure API Key\n# Visit https://learn.microsoft.com/zh-cn/azure/ai-services/openai/ to get more details\n# API documentation: https://learn.microsoft.com/zh-cn/azure/ai-services/openai/reference\nazure_api_key = \"\"\nazure_base_url = \"\"\nazure_model_name = \"gpt-35-turbo\"        # replace with your model deployment name\nazure_api_version = \"2024-02-15-preview\"\n\n########## Gemini API Key\ngemini_api_key = \"\"\ngemini_model_name = \"gemini-2.5-flash\"\n\n########## Grok API Key\ngrok_api_key = \"\"\ngrok_model_name = \"grok-4.3\"\ngrok_base_url = \"https://api.x.ai/v1\"\n\n########## Qwen API Key\n# Visit https://dashscope.console.aliyun.com/apiKey to get your API key\n# Visit below links to get more details\n# https://tongyi.aliyun.com/qianwen/\n# https://help.aliyun.com/zh/dashscope/developer-reference/model-introduction\nqwen_api_key = \"\"\nqwen_model_name = \"qwen-max\"\n\n\n########## MiniMax API Key\n# Visit https://platform.minimax.io or https://platform.minimaxi.com to get your API key\n# MiniMax API is OpenAI-compatible\n# Available models: MiniMax-M3 (default), MiniMax-M2.7, MiniMax-M2.7-highspeed\n# If your API key returns 401 on api.minimax.io, try the China endpoint: https://api.minimaxi.com/v1\nminimax_api_key = \"\"\nminimax_base_url = \"https://api.minimax.io/v1\"\nminimax_model_name = \"MiniMax-M3\"\n\n########## Xiaomi MiMo API Key\n# Xiaomi MiMo API is OpenAI-compatible.\n# Visit https://platform.xiaomimimo.com/docs/zh-CN/quick-start/first-api-call to get more details.\nmimo_api_key = \"\"\nmimo_base_url = \"https://api.xiaomimimo.com/v1\"\nmimo_model_name = \"mimo-v2.5-pro\"\n# Xiaomi MiMo TTS uses the same API key and base_url as MiMo LLM.\nmimo_tts_model_name = \"mimo-v2.5-tts\"\n# Optional natural language style prompt for MiMo TTS.\nmimo_tts_style_prompt = \"请用自然、清晰、适合短视频旁白的语气朗读。\"\n\n########## DeepSeek API Key\n# Visit https://platform.deepseek.com/api_keys to get your API key\ndeepseek_api_key = \"\"\ndeepseek_base_url = \"https://api.deepseek.com\"\ndeepseek_model_name = \"deepseek-chat\"\n\n\n########## ModelScope API Key\n# Visit https://modelscope.cn/docs/model-service/API-Inference/intro to get your API key\n# And note that you need to bind your Alibaba Cloud account before using the API.\nmodelscope_api_key = \"\"\nmodelscope_base_url = \"https://api-inference.modelscope.cn/v1/\"\nmodelscope_model_name = \"Qwen/Qwen3-32B\"\n\n########## LiteLLM (AI Gateway — 100+ providers)\n# LiteLLM routes to any LLM provider via a unified interface.\n# Use this for providers not directly supported above: Anthropic (native API),\n# AWS Bedrock, Google Vertex AI, Cohere, Mistral, Together AI, etc.\n# Visit https://docs.litellm.ai/docs/providers for the full list.\n#\n# LiteLLM reads provider API keys from environment variables automatically:\n#   OPENAI_API_KEY, ANTHROPIC_API_KEY, GEMINI_API_KEY, AWS_ACCESS_KEY_ID, etc.\n# Set the appropriate env var for your chosen provider before running.\n#\n# Model name in LiteLLM format: \"provider/model-name\"\n# Examples: \"openai/gpt-4o\", \"anthropic/claude-sonnet-4-20250514\",\n#           \"bedrock/anthropic.claude-3-5-sonnet-20241022-v2:0\",\n#           \"gemini/gemini-2.5-flash\", \"ollama/llama3\"\nlitellm_model_name = \"openai/gpt-4o-mini\"\n\n# Subtitle Provider, \"edge\" or \"whisper\"\n# If empty, the subtitle will not be generated\nsubtitle_provider = \"edge\"\n\n#\n# ImageMagick\n#\n# Once you have installed it, ImageMagick will be automatically detected, except on Windows!\n# On Windows, for example \"C:\\Program Files (x86)\\ImageMagick-7.1.1-Q16-HDRI\\magick.exe\"\n# Download from https://imagemagick.org/archive/binaries/ImageMagick-7.1.1-29-Q16-x64-static.exe\n\n# imagemagick_path = \"C:\\\\Program Files (x86)\\\\ImageMagick-7.1.1-Q16\\\\magick.exe\"\n\n\n#\n# FFMPEG\n#\n# 通常情况下，ffmpeg 会被自动下载，并且会被自动检测到。\n# 但是如果你的环境有问题，无法自动下载，可能会遇到如下错误：\n#   RuntimeError: No ffmpeg exe could be found.\n#   Install ffmpeg on your system, or set the IMAGEIO_FFMPEG_EXE environment variable.\n# 此时你可以手动下载 ffmpeg 并设置 ffmpeg_path，下载地址：https://www.gyan.dev/ffmpeg/builds/\n\n# Under normal circumstances, ffmpeg is downloaded automatically and detected automatically.\n# However, if there is an issue with your environment that prevents automatic downloading, you might encounter the following error:\n#   RuntimeError: No ffmpeg exe could be found.\n#   Install ffmpeg on your system, or set the IMAGEIO_FFMPEG_EXE environment variable.\n# In such cases, you can manually download ffmpeg and set the ffmpeg_path, download link: https://www.gyan.dev/ffmpeg/builds/\n\n# ffmpeg_path = \"C:\\\\Users\\\\harry\\\\Downloads\\\\ffmpeg.exe\"\n\n# 视频编码器。默认 libx264 最稳定；高级用户可以尝试硬件编码器提升速度。\n# 如果当前 FFmpeg 或硬件驱动不支持所选编码器，程序会自动回退到 libx264。\n# 可选值: \"libx264\", \"h264_nvenc\", \"h264_amf\", \"h264_qsv\", \"h264_mf\", \"h264_videotoolbox\"\n# video_codec = \"libx264\"\n\n# Video encoder. libx264 is the safest default; advanced users can try hardware encoders.\n# If the selected encoder is not supported by the current FFmpeg or driver, the app falls back to libx264.\n# Available values: \"libx264\", \"h264_nvenc\", \"h264_amf\", \"h264_qsv\", \"h264_mf\", \"h264_videotoolbox\"\n# video_codec = \"libx264\"\n#########################################################################################\n\n# 当视频生成成功后，API服务提供的视频下载接入点，默认为当前服务的地址和监听端口\n# 比如 http://127.0.0.1:8080/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n# 如果你需要使用域名对外提供服务（一般会用nginx做代理），则可以设置为你的域名\n# 比如 https://xxxx.com/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n# endpoint=\"https://xxxx.com\"\n\n# When the video is successfully generated, the API service provides a download endpoint for the video, defaulting to the service's current address and listening port.\n# For example, http://127.0.0.1:8080/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n# If you need to provide the service externally using a domain name (usually done with nginx as a proxy), you can set it to your domain name.\n# For example, https://xxxx.com/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n# endpoint=\"https://xxxx.com\"\nendpoint = \"\"\n\n\n# Video material storage location\n# material_directory = \"\"                    # Indicates that video materials will be downloaded to the default folder, the default folder is ./storage/cache_videos under the current project\n# material_directory = \"/user/harry/videos\"  # Indicates that video materials will be downloaded to a specified folder\n# material_directory = \"task\"                # Indicates that video materials will be downloaded to the current task's folder, this method does not allow sharing of already downloaded video materials\n\n# 视频素材存放位置\n# material_directory = \"\"                    #表示将视频素材下载到默认的文件夹，默认文件夹为当前项目下的 ./storage/cache_videos\n# material_directory = \"/user/harry/videos\"  #表示将视频素材下载到指定的文件夹中\n# material_directory = \"task\"                #表示将视频素材下载到当前任务的文件夹中，这种方式无法共享已经下载的视频素材\n\nmaterial_directory = \"\"\n\n# Used for state management of the task\nenable_redis = false\nredis_host = \"localhost\"\nredis_port = 6379\nredis_db = 0\nredis_password = \"\"\n\n# 文生视频时的最大并发任务数\nmax_concurrent_tasks = 5\n\n# 并发任务已满后的最大排队任务数，超过后接口返回 429，避免匿名请求无限堆积\nmax_queued_tasks = 100\n\n\n[whisper]\n# Only effective when subtitle_provider is \"whisper\"\n\n# Run on GPU with FP16\n# model = WhisperModel(model_size, device=\"cuda\", compute_type=\"float16\")\n\n# Run on GPU with INT8\n# model = WhisperModel(model_size, device=\"cuda\", compute_type=\"int8_float16\")\n\n# Run on CPU with INT8\n# model = WhisperModel(model_size, device=\"cpu\", compute_type=\"int8\")\n\n# recommended model_size: \"large-v3\"\nmodel_size = \"large-v3\"\n# if you want to use GPU, set device=\"cuda\"\ndevice = \"CPU\"\ncompute_type = \"int8\"\n\n\n[proxy]\n### Use a proxy to access the Pexels API\n### Format: \"http://<username>:<password>@<proxy>:<port>\"\n### Example: \"http://user:pass@proxy:1234\"\n### Doc: https://requests.readthedocs.io/en/latest/user/advanced/#proxies\n\n# http = \"http://10.10.1.10:3128\"\n# https = \"http://10.10.1.10:1080\"\n\n[azure]\n# Azure Speech API Key\n# Get your API key at https://portal.azure.com/#view/Microsoft_Azure_ProjectOxford/CognitiveServicesHub/~/SpeechServices\nspeech_key = \"\"\nspeech_region = \"\"\n\n[siliconflow]\n# SiliconFlow API Key\n# Get your API key at https://siliconflow.cn\napi_key = \"\"\n\n[ui]\n# UI related settings\n# 是否隐藏日志信息\n# Whether to hide logs in the UI\nhide_log = false\n\n# 字幕位置设置 (Subtitle position settings)\n# 可选值 (Available values): \"top\", \"center\", \"bottom\", \"custom\"\n# subtitle_position = \"custom\"\n# 自定义位置，表示离顶部的百分比 (0-100)，仅当 subtitle_position = \"custom\" 时生效\n# Custom position as percentage from top (0-100), only effective when subtitle_position = \"custom\"\n# custom_position = 70.0\n\n########## Upload-Post (Cross-post to TikTok/Instagram)\n# Upload-Post allows you to automatically cross-post generated videos to TikTok and Instagram.\n# Visit https://upload-post.com to create an account and get your API key.\n# API Documentation: https://docs.upload-post.com\n\n# Enable/disable Upload-Post integration\nupload_post_enabled = false\n\n# Your Upload-Post API key\nupload_post_api_key = \"\"\n\n# Your Upload-Post username\nupload_post_username = \"\"\n\n# Platforms to cross-post to (options: \"tiktok\", \"instagram\")\nupload_post_platforms = [\"tiktok\", \"instagram\"]\n\n# Automatically cross-post videos after generation (if false, you'll need to call the API manually)\nupload_post_auto_upload = false\n"}, "7f612312c66a6b28ff3fa9c12290593b9ddf3cb9": {"t": 1785750534.5008333, "n": 12532, "h": "9c1bd81a7380ca69", "c": "[app]\nvideo_source = \"pexels\" # \"pexels\" or \"pixabay\"\n\n# 是否隐藏配置面板\nhide_config = false\n\n# Azure TTS V1(edge_tts) 单次流式请求超时时间，单位秒。\n# 网络异常、服务端限流或 voice 与文本语言不匹配时，edge_tts 可能长期卡住。\n# 默认 30 秒可避免 WebUI 任务无反馈；慢网络或代理环境可适当调大。\n# 设置为 0 表示禁用超时。\nedge_tts_timeout = 30\n\n# 是否校验外部 API 和素材下载的 TLS 证书。\n# 默认必须开启，避免 Pexels/Pixabay API key 和下载素材被中间人攻击篡改。\n# 只有在企业代理或自签证书环境明确需要时，才临时改为 false。\ntls_verify = true\n\n# Pexels API Key\n# Register at https://www.pexels.com/api/ to get your API key.\n# You can use multiple keys to avoid rate limits.\n# For example: pexels_api_keys = [\"123adsf4567adf89\",\"abd1321cd13efgfdfhi\"]\n# 特别注意格式，Key 用英文双引号括起来，多个Key用逗号隔开\npexels_api_keys = []\n\n# Pixabay API Key\n# Register at https://pixabay.com/api/docs/ to get your API key.\n# You can use multiple keys to avoid rate limits.\n# For example: pixabay_api_keys = [\"123adsf4567adf89\",\"abd1321cd13efgfdfhi\"]\n# 特别注意格式，Key 用英文双引号括起来，多个Key用逗号隔开\npixabay_api_keys = []\n\n# 支持的提供商 (Supported providers):\n#   openai\n#   aihubmix   (OpenAI-compatible AI model gateway)\n#   moonshot    (月之暗面)\n#   azure\n#   qwen        (通义千问)\n#   deepseek\n#   gemini\n#   ollama\n#   g4f        (disabled by default; set enable_g4f=true only after accepting its risks)\n#   oneapi\n#   cloudflare\n#   minimax\n#   mimo       (Xiaomi MiMo)\n#   ernie       (文心一言)\n#   modelscope  (魔搭社区)\n#   litellm     (100+ providers via LiteLLM gateway)\nllm_provider = \"openai\"\n\n########## Pollinations AI Settings\n# Visit https://pollinations.ai/ to learn more\n# API Key is optional - leave empty for public access\npollinations_api_key = \"\"\n# Default base URL for Pollinations API\npollinations_base_url = \"https://pollinations.ai/api/v1\"\n# Default model for text generation\npollinations_model_name = \"openai-fast\"\n\n########## Ollama Settings\n# No need to set it unless you want to use your own proxy\nollama_base_url = \"\"\n# Check your available models at https://ollama.com/library\nollama_model_name = \"\"\n\n########## OpenAI API Key\n# Get your API key at https://platform.openai.com/api-keys\n# 也可以填写兼容 OpenAI Chat Completions 协议的供应商密钥，\n# 例如 OpenRouter 这类提供自定义 base_url 的平台。\nopenai_api_key = \"\"\n# No need to set it unless you want to use your own proxy\n# 如果使用兼容 OpenAI 接口的平台，请在这里填写对应的 base_url。\nopenai_base_url = \"\"\n# Check your available models at https://platform.openai.com/account/limits\n# 如果使用兼容供应商，请填写该平台要求的模型 ID。\nopenai_model_name = \"gpt-4o-mini\"\n\n########## AIHubMix API Key\n# AIHubMix is OpenAI-compatible and can use one API key to access multiple models.\n# Visit https://aihubmix.com/?aff=CEve to register and get your API key.\naihubmix_api_key = \"\"\naihubmix_base_url = \"https://aihubmix.com/v1\"\naihubmix_model_name = \"gpt-5.4-mini\"\n\n########## Moonshot API Key\n# Visit https://platform.moonshot.cn/console/api-keys to get your API key.\nmoonshot_api_key = \"\"\nmoonshot_base_url = \"https://api.moonshot.cn/v1\"\nmoonshot_model_name = \"moonshot-v1-8k\"\n\n########## OneAPI API Key\n# Visit https://github.com/songquanpeng/one-api to get your API key\noneapi_api_key = \"\"\noneapi_base_url = \"\"\noneapi_model_name = \"\"\n\n########## G4F\n# g4f relies on reverse-engineered third-party endpoints and is not recommended\n# for production. Prefer official APIs, OpenAI-compatible providers, LiteLLM,\n# Ollama, or local inference.\n# If you still need it, install the optional dependency with:\n#   uv sync --extra g4f\nenable_g4f = false\n# Visit https://github.com/xtekky/gpt4free to get more details\n# Supported model list: https://github.com/xtekky/gpt4free/blob/main/g4f/models.py\ng4f_model_name = \"gpt-3.5-turbo\"\n\n########## Azure API Key\n# Visit https://learn.microsoft.com/zh-cn/azure/ai-services/openai/ to get more details\n# API documentation: https://learn.microsoft.com/zh-cn/azure/ai-services/openai/reference\nazure_api_key = \"\"\nazure_base_url = \"\"\nazure_model_name = \"gpt-35-turbo\"        # replace with your model deployment name\nazure_api_version = \"2024-02-15-preview\"\n\n########## Gemini API Key\ngemini_api_key = \"\"\ngemini_model_name = \"gemini-2.5-flash\"\n\n########## Grok API Key\ngrok_api_key = \"\"\ngrok_model_name = \"grok-4.3\"\ngrok_base_url = \"https://api.x.ai/v1\"\n\n########## Qwen API Key\n# Visit https://dashscope.console.aliyun.com/apiKey to get your API key\n# Visit below links to get more details\n# https://tongyi.aliyun.com/qianwen/\n# https://help.aliyun.com/zh/dashscope/developer-reference/model-introduction\nqwen_api_key = \"\"\nqwen_model_name = \"qwen-max\"\n\n\n########## MiniMax API Key\n# Visit https://platform.minimax.io to get your API key\n# MiniMax API is OpenAI-compatible\n# Available models: MiniMax-M2.7 (default), MiniMax-M2.7-highspeed\nminimax_api_key = \"\"\nminimax_base_url = \"https://api.minimax.io/v1\"\nminimax_model_name = \"MiniMax-M2.7\"\n\n########## Xiaomi MiMo API Key\n# Xiaomi MiMo API is OpenAI-compatible.\n# Visit https://platform.xiaomimimo.com/docs/zh-CN/quick-start/first-api-call to get more details.\nmimo_api_key = \"\"\nmimo_base_url = \"https://api.xiaomimimo.com/v1\"\nmimo_model_name = \"mimo-v2.5-pro\"\n# Xiaomi MiMo TTS uses the same API key and base_url as MiMo LLM.\nmimo_tts_model_name = \"mimo-v2.5-tts\"\n# Optional natural language style prompt for MiMo TTS.\nmimo_tts_style_prompt = \"请用自然、清晰、适合短视频旁白的语气朗读。\"\n\n########## DeepSeek API Key\n# Visit https://platform.deepseek.com/api_keys to get your API key\ndeepseek_api_key = \"\"\ndeepseek_base_url = \"https://api.deepseek.com\"\ndeepseek_model_name = \"deepseek-chat\"\n\n\n########## ModelScope API Key\n# Visit https://modelscope.cn/docs/model-service/API-Inference/intro to get your API key\n# And note that you need to bind your Alibaba Cloud account before using the API.\nmodelscope_api_key = \"\"\nmodelscope_base_url = \"https://api-inference.modelscope.cn/v1/\"\nmodelscope_model_name = \"Qwen/Qwen3-32B\"\n\n########## LiteLLM (AI Gateway — 100+ providers)\n# LiteLLM routes to any LLM provider via a unified interface.\n# Use this for providers not directly supported above: Anthropic (native API),\n# AWS Bedrock, Google Vertex AI, Cohere, Mistral, Together AI, etc.\n# Visit https://docs.litellm.ai/docs/providers for the full list.\n#\n# LiteLLM reads provider API keys from environment variables automatically:\n#   OPENAI_API_KEY, ANTHROPIC_API_KEY, GEMINI_API_KEY, AWS_ACCESS_KEY_ID, etc.\n# Set the appropriate env var for your chosen provider before running.\n#\n# Model name in LiteLLM format: \"provider/model-name\"\n# Examples: \"openai/gpt-4o\", \"anthropic/claude-sonnet-4-20250514\",\n#           \"bedrock/anthropic.claude-3-5-sonnet-20241022-v2:0\",\n#           \"gemini/gemini-2.5-flash\", \"ollama/llama3\"\nlitellm_model_name = \"openai/gpt-4o-mini\"\n\n# Subtitle Provider, \"edge\" or \"whisper\"\n# If empty, the subtitle will not be generated\nsubtitle_provider = \"edge\"\n\n#\n# ImageMagick\n#\n# Once you have installed it, ImageMagick will be automatically detected, except on Windows!\n# On Windows, for example \"C:\\Program Files (x86)\\ImageMagick-7.1.1-Q16-HDRI\\magick.exe\"\n# Download from https://imagemagick.org/archive/binaries/ImageMagick-7.1.1-29-Q16-x64-static.exe\n\n# imagemagick_path = \"C:\\\\Program Files (x86)\\\\ImageMagick-7.1.1-Q16\\\\magick.exe\"\n\n\n#\n# FFMPEG\n#\n# 通常情况下，ffmpeg 会被自动下载，并且会被自动检测到。\n# 但是如果你的环境有问题，无法自动下载，可能会遇到如下错误：\n#   RuntimeError: No ffmpeg exe could be found.\n#   Install ffmpeg on your system, or set the IMAGEIO_FFMPEG_EXE environment variable.\n# 此时你可以手动下载 ffmpeg 并设置 ffmpeg_path，下载地址：https://www.gyan.dev/ffmpeg/builds/\n\n# Under normal circumstances, ffmpeg is downloaded automatically and detected automatically.\n# However, if there is an issue with your environment that prevents automatic downloading, you might encounter the following error:\n#   RuntimeError: No ffmpeg exe could be found.\n#   Install ffmpeg on your system, or set the IMAGEIO_FFMPEG_EXE environment variable.\n# In such cases, you can manually download ffmpeg and set the ffmpeg_path, download link: https://www.gyan.dev/ffmpeg/builds/\n\n# ffmpeg_path = \"C:\\\\Users\\\\harry\\\\Downloads\\\\ffmpeg.exe\"\n\n# 视频编码器。默认 libx264 最稳定；高级用户可以尝试硬件编码器提升速度。\n# 如果当前 FFmpeg 或硬件驱动不支持所选编码器，程序会自动回退到 libx264。\n# 可选值: \"libx264\", \"h264_nvenc\", \"h264_amf\", \"h264_qsv\", \"h264_mf\", \"h264_videotoolbox\"\n# video_codec = \"libx264\"\n\n# Video encoder. libx264 is the safest default; advanced users can try hardware encoders.\n# If the selected encoder is not supported by the current FFmpeg or driver, the app falls back to libx264.\n# Available values: \"libx264\", \"h264_nvenc\", \"h264_amf\", \"h264_qsv\", \"h264_mf\", \"h264_videotoolbox\"\n# video_codec = \"libx264\"\n#########################################################################################\n\n# 当视频生成成功后，API服务提供的视频下载接入点，默认为当前服务的地址和监听端口\n# 比如 http://127.0.0.1:8080/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n# 如果你需要使用域名对外提供服务（一般会用nginx做代理），则可以设置为你的域名\n# 比如 https://xxxx.com/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n# endpoint=\"https://xxxx.com\"\n\n# When the video is successfully generated, the API service provides a download endpoint for the video, defaulting to the service's current address and listening port.\n# For example, http://127.0.0.1:8080/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n# If you need to provide the service externally using a domain name (usually done with nginx as a proxy), you can set it to your domain name.\n# For example, https://xxxx.com/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n# endpoint=\"https://xxxx.com\"\nendpoint = \"\"\n\n\n# Video material storage location\n# material_directory = \"\"                    # Indicates that video materials will be downloaded to the default folder, the default folder is ./storage/cache_videos under the current project\n# material_directory = \"/user/harry/videos\"  # Indicates that video materials will be downloaded to a specified folder\n# material_directory = \"task\"                # Indicates that video materials will be downloaded to the current task's folder, this method does not allow sharing of already downloaded video materials\n\n# 视频素材存放位置\n# material_directory = \"\"                    #表示将视频素材下载到默认的文件夹，默认文件夹为当前项目下的 ./storage/cache_videos\n# material_directory = \"/user/harry/videos\"  #表示将视频素材下载到指定的文件夹中\n# material_directory = \"task\"                #表示将视频素材下载到当前任务的文件夹中，这种方式无法共享已经下载的视频素材\n\nmaterial_directory = \"\"\n\n# Used for state management of the task\nenable_redis = false\nredis_host = \"localhost\"\nredis_port = 6379\nredis_db = 0\nredis_password = \"\"\n\n# 文生视频时的最大并发任务数\nmax_concurrent_tasks = 5\n\n# 并发任务已满后的最大排队任务数，超过后接口返回 429，避免匿名请求无限堆积\nmax_queued_tasks = 100\n\n\n[whisper]\n# Only effective when subtitle_provider is \"whisper\"\n\n# Run on GPU with FP16\n# model = WhisperModel(model_size, device=\"cuda\", compute_type=\"float16\")\n\n# Run on GPU with INT8\n# model = WhisperModel(model_size, device=\"cuda\", compute_type=\"int8_float16\")\n\n# Run on CPU with INT8\n# model = WhisperModel(model_size, device=\"cpu\", compute_type=\"int8\")\n\n# recommended model_size: \"large-v3\"\nmodel_size = \"large-v3\"\n# if you want to use GPU, set device=\"cuda\"\ndevice = \"CPU\"\ncompute_type = \"int8\"\n\n\n[proxy]\n### Use a proxy to access the Pexels API\n### Format: \"http://<username>:<password>@<proxy>:<port>\"\n### Example: \"http://user:pass@proxy:1234\"\n### Doc: https://requests.readthedocs.io/en/latest/user/advanced/#proxies\n\n# http = \"http://10.10.1.10:3128\"\n# https = \"http://10.10.1.10:1080\"\n\n[azure]\n# Azure Speech API Key\n# Get your API key at https://portal.azure.com/#view/Microsoft_Azure_ProjectOxford/CognitiveServicesHub/~/SpeechServices\nspeech_key = \"\"\nspeech_region = \"\"\n\n[siliconflow]\n# SiliconFlow API Key\n# Get your API key at https://siliconflow.cn\napi_key = \"\"\n\n[ui]\n# UI related settings\n# 是否隐藏日志信息\n# Whether to hide logs in the UI\nhide_log = false\n\n# 字幕位置设置 (Subtitle position settings)\n# 可选值 (Available values): \"top\", \"center\", \"bottom\", \"custom\"\n# subtitle_position = \"custom\"\n# 自定义位置，表示离顶部的百分比 (0-100)，仅当 subtitle_position = \"custom\" 时生效\n# Custom position as percentage from top (0-100), only effective when subtitle_position = \"custom\"\n# custom_position = 70.0\n\n########## Upload-Post (Cross-post to TikTok/Instagram)\n# Upload-Post allows you to automatically cross-post generated videos to TikTok and Instagram.\n# Visit https://upload-post.com to create an account and get your API key.\n# API Documentation: https://docs.upload-post.com\n\n# Enable/disable Upload-Post integration\nupload_post_enabled = false\n\n# Your Upload-Post API key\nupload_post_api_key = \"\"\n\n# Your Upload-Post username\nupload_post_username = \"\"\n\n# Platforms to cross-post to (options: \"tiktok\", \"instagram\")\nupload_post_platforms = [\"tiktok\", \"instagram\"]\n\n# Automatically cross-post videos after generation (if false, you'll need to call the API manually)\nupload_post_auto_upload = false\n"}, "f29a56e4cef48f259438debb91e8f27a78b3e1cf": {"t": 1785750535.5988595, "n": 12006, "h": "300b40697400a172", "c": "[app]\nvideo_source = \"pexels\" # \"pexels\" or \"pixabay\"\n\n# 是否隐藏配置面板\nhide_config = false\n\n# Azure TTS V1(edge_tts) 单次流式请求超时时间，单位秒。\n# 网络异常、服务端限流或 voice 与文本语言不匹配时，edge_tts 可能长期卡住。\n# 默认 30 秒可避免 WebUI 任务无反馈；慢网络或代理环境可适当调大。\n# 设置为 0 表示禁用超时。\nedge_tts_timeout = 30\n\n# 是否校验外部 API 和素材下载的 TLS 证书。\n# 默认必须开启，避免 Pexels/Pixabay API key 和下载素材被中间人攻击篡改。\n# 只有在企业代理或自签证书环境明确需要时，才临时改为 false。\ntls_verify = true\n\n# Pexels API Key\n# Register at https://www.pexels.com/api/ to get your API key.\n# You can use multiple keys to avoid rate limits.\n# For example: pexels_api_keys = [\"123adsf4567adf89\",\"abd1321cd13efgfdfhi\"]\n# 特别注意格式，Key 用英文双引号括起来，多个Key用逗号隔开\npexels_api_keys = []\n\n# Pixabay API Key\n# Register at https://pixabay.com/api/docs/ to get your API key.\n# You can use multiple keys to avoid rate limits.\n# For example: pixabay_api_keys = [\"123adsf4567adf89\",\"abd1321cd13efgfdfhi\"]\n# 特别注意格式，Key 用英文双引号括起来，多个Key用逗号隔开\npixabay_api_keys = []\n\n# 支持的提供商 (Supported providers):\n#   openai\n#   aihubmix   (OpenAI-compatible AI model gateway)\n#   moonshot    (月之暗面)\n#   azure\n#   qwen        (通义千问)\n#   deepseek\n#   gemini\n#   ollama\n#   g4f        (disabled by default; set enable_g4f=true only after accepting its risks)\n#   oneapi\n#   cloudflare\n#   minimax\n#   mimo       (Xiaomi MiMo)\n#   ernie       (文心一言)\n#   modelscope  (魔搭社区)\n#   litellm     (100+ providers via LiteLLM gateway)\nllm_provider = \"openai\"\n\n########## Pollinations AI Settings\n# Visit https://pollinations.ai/ to learn more\n# API Key is optional - leave empty for public access\npollinations_api_key = \"\"\n# Default base URL for Pollinations API\npollinations_base_url = \"https://pollinations.ai/api/v1\"\n# Default model for text generation\npollinations_model_name = \"openai-fast\"\n\n########## Ollama Settings\n# No need to set it unless you want to use your own proxy\nollama_base_url = \"\"\n# Check your available models at https://ollama.com/library\nollama_model_name = \"\"\n\n########## OpenAI API Key\n# Get your API key at https://platform.openai.com/api-keys\n# 也可以填写兼容 OpenAI Chat Completions 协议的供应商密钥，\n# 例如 OpenRouter 这类提供自定义 base_url 的平台。\nopenai_api_key = \"\"\n# No need to set it unless you want to use your own proxy\n# 如果使用兼容 OpenAI 接口的平台，请在这里填写对应的 base_url。\nopenai_base_url = \"\"\n# Check your available models at https://platform.openai.com/account/limits\n# 如果使用兼容供应商，请填写该平台要求的模型 ID。\nopenai_model_name = \"gpt-4o-mini\"\n\n########## AIHubMix API Key\n# AIHubMix is OpenAI-compatible and can use one API key to access multiple models.\n# Visit https://aihubmix.com/?aff=CEve to register and get your API key.\naihubmix_api_key = \"\"\naihubmix_base_url = \"https://aihubmix.com/v1\"\naihubmix_model_name = \"gpt-5.4-mini\"\n\n########## Moonshot API Key\n# Visit https://platform.moonshot.cn/console/api-keys to get your API key.\nmoonshot_api_key = \"\"\nmoonshot_base_url = \"https://api.moonshot.cn/v1\"\nmoonshot_model_name = \"moonshot-v1-8k\"\n\n########## OneAPI API Key\n# Visit https://github.com/songquanpeng/one-api to get your API key\noneapi_api_key = \"\"\noneapi_base_url = \"\"\noneapi_model_name = \"\"\n\n########## G4F\n# g4f relies on reverse-engineered third-party endpoints and is not recommended\n# for production. Prefer official APIs, OpenAI-compatible providers, LiteLLM,\n# Ollama, or local inference.\n# If you still need it, install the optional dependency with:\n#   uv sync --extra g4f\nenable_g4f = false\n# Visit https://github.com/xtekky/gpt4free to get more details\n# Supported model list: https://github.com/xtekky/gpt4free/blob/main/g4f/models.py\ng4f_model_name = \"gpt-3.5-turbo\"\n\n########## Azure API Key\n# Visit https://learn.microsoft.com/zh-cn/azure/ai-services/openai/ to get more details\n# API documentation: https://learn.microsoft.com/zh-cn/azure/ai-services/openai/reference\nazure_api_key = \"\"\nazure_base_url = \"\"\nazure_model_name = \"gpt-35-turbo\"        # replace with your model deployment name\nazure_api_version = \"2024-02-15-preview\"\n\n########## Gemini API Key\ngemini_api_key = \"\"\ngemini_model_name = \"gemini-2.5-flash\"\n\n########## Grok API Key\ngrok_api_key = \"\"\ngrok_model_name = \"grok-4.3\"\ngrok_base_url = \"https://api.x.ai/v1\"\n\n########## Qwen API Key\n# Visit https://dashscope.console.aliyun.com/apiKey to get your API key\n# Visit below links to get more details\n# https://tongyi.aliyun.com/qianwen/\n# https://help.aliyun.com/zh/dashscope/developer-reference/model-introduction\nqwen_api_key = \"\"\nqwen_model_name = \"qwen-max\"\n\n\n########## MiniMax API Key\n# Visit https://platform.minimax.io to get your API key\n# MiniMax API is OpenAI-compatible\n# Available models: MiniMax-M2.7 (default), MiniMax-M2.7-highspeed\nminimax_api_key = \"\"\nminimax_base_url = \"https://api.minimax.io/v1\"\nminimax_model_name = \"MiniMax-M2.7\"\n\n########## Xiaomi MiMo API Key\n# Xiaomi MiMo API is OpenAI-compatible.\n# Visit https://platform.xiaomimimo.com/docs/zh-CN/quick-start/first-api-call to get more details.\nmimo_api_key = \"\"\nmimo_base_url = \"https://api.xiaomimimo.com/v1\"\nmimo_model_name = \"mimo-v2.5-pro\"\n# Xiaomi MiMo TTS uses the same API key and base_url as MiMo LLM.\nmimo_tts_model_name = \"mimo-v2.5-tts\"\n# Optional natural language style prompt for MiMo TTS.\nmimo_tts_style_prompt = \"请用自然、清晰、适合短视频旁白的语气朗读。\"\n\n########## DeepSeek API Key\n# Visit https://platform.deepseek.com/api_keys to get your API key\ndeepseek_api_key = \"\"\ndeepseek_base_url = \"https://api.deepseek.com\"\ndeepseek_model_name = \"deepseek-chat\"\n\n\n########## ModelScope API Key\n# Visit https://modelscope.cn/docs/model-service/API-Inference/intro to get your API key\n# And note that you need to bind your Alibaba Cloud account before using the API.\nmodelscope_api_key = \"\"\nmodelscope_base_url = \"https://api-inference.modelscope.cn/v1/\"\nmodelscope_model_name = \"Qwen/Qwen3-32B\"\n\n########## LiteLLM (AI Gateway — 100+ providers)\n# LiteLLM routes to any LLM provider via a unified interface.\n# Use this for providers not directly supported above: Anthropic (native API),\n# AWS Bedrock, Google Vertex AI, Cohere, Mistral, Together AI, etc.\n# Visit https://docs.litellm.ai/docs/providers for the full list.\n#\n# LiteLLM reads provider API keys from environment variables automatically:\n#   OPENAI_API_KEY, ANTHROPIC_API_KEY, GEMINI_API_KEY, AWS_ACCESS_KEY_ID, etc.\n# Set the appropriate env var for your chosen provider before running.\n#\n# Model name in LiteLLM format: \"provider/model-name\"\n# Examples: \"openai/gpt-4o\", \"anthropic/claude-sonnet-4-20250514\",\n#           \"bedrock/anthropic.claude-3-5-sonnet-20241022-v2:0\",\n#           \"gemini/gemini-2.5-flash\", \"ollama/llama3\"\nlitellm_model_name = \"openai/gpt-4o-mini\"\n\n# Subtitle Provider, \"edge\" or \"whisper\"\n# If empty, the subtitle will not be generated\nsubtitle_provider = \"edge\"\n\n#\n# ImageMagick\n#\n# Once you have installed it, ImageMagick will be automatically detected, except on Windows!\n# On Windows, for example \"C:\\Program Files (x86)\\ImageMagick-7.1.1-Q16-HDRI\\magick.exe\"\n# Download from https://imagemagick.org/archive/binaries/ImageMagick-7.1.1-29-Q16-x64-static.exe\n\n# imagemagick_path = \"C:\\\\Program Files (x86)\\\\ImageMagick-7.1.1-Q16\\\\magick.exe\"\n\n\n#\n# FFMPEG\n#\n# 通常情况下，ffmpeg 会被自动下载，并且会被自动检测到。\n# 但是如果你的环境有问题，无法自动下载，可能会遇到如下错误：\n#   RuntimeError: No ffmpeg exe could be found.\n#   Install ffmpeg on your system, or set the IMAGEIO_FFMPEG_EXE environment variable.\n# 此时你可以手动下载 ffmpeg 并设置 ffmpeg_path，下载地址：https://www.gyan.dev/ffmpeg/builds/\n\n# Under normal circumstances, ffmpeg is downloaded automatically and detected automatically.\n# However, if there is an issue with your environment that prevents automatic downloading, you might encounter the following error:\n#   RuntimeError: No ffmpeg exe could be found.\n#   Install ffmpeg on your system, or set the IMAGEIO_FFMPEG_EXE environment variable.\n# In such cases, you can manually download ffmpeg and set the ffmpeg_path, download link: https://www.gyan.dev/ffmpeg/builds/\n\n# ffmpeg_path = \"C:\\\\Users\\\\harry\\\\Downloads\\\\ffmpeg.exe\"\n#########################################################################################\n\n# 当视频生成成功后，API服务提供的视频下载接入点，默认为当前服务的地址和监听端口\n# 比如 http://127.0.0.1:8080/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n# 如果你需要使用域名对外提供服务（一般会用nginx做代理），则可以设置为你的域名\n# 比如 https://xxxx.com/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n# endpoint=\"https://xxxx.com\"\n\n# When the video is successfully generated, the API service provides a download endpoint for the video, defaulting to the service's current address and listening port.\n# For example, http://127.0.0.1:8080/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n# If you need to provide the service externally using a domain name (usually done with nginx as a proxy), you can set it to your domain name.\n# For example, https://xxxx.com/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n# endpoint=\"https://xxxx.com\"\nendpoint = \"\"\n\n\n# Video material storage location\n# material_directory = \"\"                    # Indicates that video materials will be downloaded to the default folder, the default folder is ./storage/cache_videos under the current project\n# material_directory = \"/user/harry/videos\"  # Indicates that video materials will be downloaded to a specified folder\n# material_directory = \"task\"                # Indicates that video materials will be downloaded to the current task's folder, this method does not allow sharing of already downloaded video materials\n\n# 视频素材存放位置\n# material_directory = \"\"                    #表示将视频素材下载到默认的文件夹，默认文件夹为当前项目下的 ./storage/cache_videos\n# material_directory = \"/user/harry/videos\"  #表示将视频素材下载到指定的文件夹中\n# material_directory = \"task\"                #表示将视频素材下载到当前任务的文件夹中，这种方式无法共享已经下载的视频素材\n\nmaterial_directory = \"\"\n\n# Used for state management of the task\nenable_redis = false\nredis_host = \"localhost\"\nredis_port = 6379\nredis_db = 0\nredis_password = \"\"\n\n# 文生视频时的最大并发任务数\nmax_concurrent_tasks = 5\n\n# 并发任务已满后的最大排队任务数，超过后接口返回 429，避免匿名请求无限堆积\nmax_queued_tasks = 100\n\n\n[whisper]\n# Only effective when subtitle_provider is \"whisper\"\n\n# Run on GPU with FP16\n# model = WhisperModel(model_size, device=\"cuda\", compute_type=\"float16\")\n\n# Run on GPU with INT8\n# model = WhisperModel(model_size, device=\"cuda\", compute_type=\"int8_float16\")\n\n# Run on CPU with INT8\n# model = WhisperModel(model_size, device=\"cpu\", compute_type=\"int8\")\n\n# recommended model_size: \"large-v3\"\nmodel_size = \"large-v3\"\n# if you want to use GPU, set device=\"cuda\"\ndevice = \"CPU\"\ncompute_type = \"int8\"\n\n\n[proxy]\n### Use a proxy to access the Pexels API\n### Format: \"http://<username>:<password>@<proxy>:<port>\"\n### Example: \"http://user:pass@proxy:1234\"\n### Doc: https://requests.readthedocs.io/en/latest/user/advanced/#proxies\n\n# http = \"http://10.10.1.10:3128\"\n# https = \"http://10.10.1.10:1080\"\n\n[azure]\n# Azure Speech API Key\n# Get your API key at https://portal.azure.com/#view/Microsoft_Azure_ProjectOxford/CognitiveServicesHub/~/SpeechServices\nspeech_key = \"\"\nspeech_region = \"\"\n\n[siliconflow]\n# SiliconFlow API Key\n# Get your API key at https://siliconflow.cn\napi_key = \"\"\n\n[ui]\n# UI related settings\n# 是否隐藏日志信息\n# Whether to hide logs in the UI\nhide_log = false\n\n# 字幕位置设置 (Subtitle position settings)\n# 可选值 (Available values): \"top\", \"center\", \"bottom\", \"custom\"\n# subtitle_position = \"custom\"\n# 自定义位置，表示离顶部的百分比 (0-100)，仅当 subtitle_position = \"custom\" 时生效\n# Custom position as percentage from top (0-100), only effective when subtitle_position = \"custom\"\n# custom_position = 70.0\n\n########## Upload-Post (Cross-post to TikTok/Instagram)\n# Upload-Post allows you to automatically cross-post generated videos to TikTok and Instagram.\n# Visit https://upload-post.com to create an account and get your API key.\n# API Documentation: https://docs.upload-post.com\n\n# Enable/disable Upload-Post integration\nupload_post_enabled = false\n\n# Your Upload-Post API key\nupload_post_api_key = \"\"\n\n# Your Upload-Post username\nupload_post_username = \"\"\n\n# Platforms to cross-post to (options: \"tiktok\", \"instagram\")\nupload_post_platforms = [\"tiktok\", \"instagram\"]\n\n# Automatically cross-post videos after generation (if false, you'll need to call the API manually)\nupload_post_auto_upload = false\n"}, "be2c8e270f119879df2c530a48b413a8f0373bcf": {"t": 1785750537.1983147, "n": 11664, "h": "c743a9f92641e87a", "c": "[app]\nvideo_source = \"pexels\" # \"pexels\" or \"pixabay\"\n\n# 是否隐藏配置面板\nhide_config = false\n\n# Azure TTS V1(edge_tts) 单次流式请求超时时间，单位秒。\n# 网络异常、服务端限流或 voice 与文本语言不匹配时，edge_tts 可能长期卡住。\n# 默认 30 秒可避免 WebUI 任务无反馈；慢网络或代理环境可适当调大。\n# 设置为 0 表示禁用超时。\nedge_tts_timeout = 30\n\n# 是否校验外部 API 和素材下载的 TLS 证书。\n# 默认必须开启，避免 Pexels/Pixabay API key 和下载素材被中间人攻击篡改。\n# 只有在企业代理或自签证书环境明确需要时，才临时改为 false。\ntls_verify = true\n\n# Pexels API Key\n# Register at https://www.pexels.com/api/ to get your API key.\n# You can use multiple keys to avoid rate limits.\n# For example: pexels_api_keys = [\"123adsf4567adf89\",\"abd1321cd13efgfdfhi\"]\n# 特别注意格式，Key 用英文双引号括起来，多个Key用逗号隔开\npexels_api_keys = []\n\n# Pixabay API Key\n# Register at https://pixabay.com/api/docs/ to get your API key.\n# You can use multiple keys to avoid rate limits.\n# For example: pixabay_api_keys = [\"123adsf4567adf89\",\"abd1321cd13efgfdfhi\"]\n# 特别注意格式，Key 用英文双引号括起来，多个Key用逗号隔开\npixabay_api_keys = []\n\n# 支持的提供商 (Supported providers):\n#   openai\n#   moonshot    (月之暗面)\n#   azure\n#   qwen        (通义千问)\n#   deepseek\n#   gemini\n#   ollama\n#   g4f        (disabled by default; set enable_g4f=true only after accepting its risks)\n#   oneapi\n#   cloudflare\n#   minimax\n#   mimo       (Xiaomi MiMo)\n#   ernie       (文心一言)\n#   modelscope  (魔搭社区)\n#   litellm     (100+ providers via LiteLLM gateway)\nllm_provider = \"openai\"\n\n########## Pollinations AI Settings\n# Visit https://pollinations.ai/ to learn more\n# API Key is optional - leave empty for public access\npollinations_api_key = \"\"\n# Default base URL for Pollinations API\npollinations_base_url = \"https://pollinations.ai/api/v1\"\n# Default model for text generation\npollinations_model_name = \"openai-fast\"\n\n########## Ollama Settings\n# No need to set it unless you want to use your own proxy\nollama_base_url = \"\"\n# Check your available models at https://ollama.com/library\nollama_model_name = \"\"\n\n########## OpenAI API Key\n# Get your API key at https://platform.openai.com/api-keys\n# 也可以填写兼容 OpenAI Chat Completions 协议的供应商密钥，\n# 例如 OpenRouter 这类提供自定义 base_url 的平台。\nopenai_api_key = \"\"\n# No need to set it unless you want to use your own proxy\n# 如果使用兼容 OpenAI 接口的平台，请在这里填写对应的 base_url。\nopenai_base_url = \"\"\n# Check your available models at https://platform.openai.com/account/limits\n# 如果使用兼容供应商，请填写该平台要求的模型 ID。\nopenai_model_name = \"gpt-4o-mini\"\n\n########## Moonshot API Key\n# Visit https://platform.moonshot.cn/console/api-keys to get your API key.\nmoonshot_api_key = \"\"\nmoonshot_base_url = \"https://api.moonshot.cn/v1\"\nmoonshot_model_name = \"moonshot-v1-8k\"\n\n########## OneAPI API Key\n# Visit https://github.com/songquanpeng/one-api to get your API key\noneapi_api_key = \"\"\noneapi_base_url = \"\"\noneapi_model_name = \"\"\n\n########## G4F\n# g4f relies on reverse-engineered third-party endpoints and is not recommended\n# for production. Prefer official APIs, OpenAI-compatible providers, LiteLLM,\n# Ollama, or local inference.\n# If you still need it, install the optional dependency with:\n#   uv sync --extra g4f\nenable_g4f = false\n# Visit https://github.com/xtekky/gpt4free to get more details\n# Supported model list: https://github.com/xtekky/gpt4free/blob/main/g4f/models.py\ng4f_model_name = \"gpt-3.5-turbo\"\n\n########## Azure API Key\n# Visit https://learn.microsoft.com/zh-cn/azure/ai-services/openai/ to get more details\n# API documentation: https://learn.microsoft.com/zh-cn/azure/ai-services/openai/reference\nazure_api_key = \"\"\nazure_base_url = \"\"\nazure_model_name = \"gpt-35-turbo\"        # replace with your model deployment name\nazure_api_version = \"2024-02-15-preview\"\n\n########## Gemini API Key\ngemini_api_key = \"\"\ngemini_model_name = \"gemini-2.5-flash\"\n\n########## Grok API Key\ngrok_api_key = \"\"\ngrok_model_name = \"grok-4.3\"\ngrok_base_url = \"https://api.x.ai/v1\"\n\n########## Qwen API Key\n# Visit https://dashscope.console.aliyun.com/apiKey to get your API key\n# Visit below links to get more details\n# https://tongyi.aliyun.com/qianwen/\n# https://help.aliyun.com/zh/dashscope/developer-reference/model-introduction\nqwen_api_key = \"\"\nqwen_model_name = \"qwen-max\"\n\n\n########## MiniMax API Key\n# Visit https://platform.minimax.io to get your API key\n# MiniMax API is OpenAI-compatible\n# Available models: MiniMax-M2.7 (default), MiniMax-M2.7-highspeed\nminimax_api_key = \"\"\nminimax_base_url = \"https://api.minimax.io/v1\"\nminimax_model_name = \"MiniMax-M2.7\"\n\n########## Xiaomi MiMo API Key\n# Xiaomi MiMo API is OpenAI-compatible.\n# Visit https://platform.xiaomimimo.com/docs/zh-CN/quick-start/first-api-call to get more details.\nmimo_api_key = \"\"\nmimo_base_url = \"https://api.xiaomimimo.com/v1\"\nmimo_model_name = \"mimo-v2.5-pro\"\n# Xiaomi MiMo TTS uses the same API key and base_url as MiMo LLM.\nmimo_tts_model_name = \"mimo-v2.5-tts\"\n# Optional natural language style prompt for MiMo TTS.\nmimo_tts_style_prompt = \"请用自然、清晰、适合短视频旁白的语气朗读。\"\n\n########## DeepSeek API Key\n# Visit https://platform.deepseek.com/api_keys to get your API key\ndeepseek_api_key = \"\"\ndeepseek_base_url = \"https://api.deepseek.com\"\ndeepseek_model_name = \"deepseek-chat\"\n\n\n########## ModelScope API Key\n# Visit https://modelscope.cn/docs/model-service/API-Inference/intro to get your API key\n# And note that you need to bind your Alibaba Cloud account before using the API.\nmodelscope_api_key = \"\"\nmodelscope_base_url = \"https://api-inference.modelscope.cn/v1/\"\nmodelscope_model_name = \"Qwen/Qwen3-32B\"\n\n########## LiteLLM (AI Gateway — 100+ providers)\n# LiteLLM routes to any LLM provider via a unified interface.\n# Use this for providers not directly supported above: Anthropic (native API),\n# AWS Bedrock, Google Vertex AI, Cohere, Mistral, Together AI, etc.\n# Visit https://docs.litellm.ai/docs/providers for the full list.\n#\n# LiteLLM reads provider API keys from environment variables automatically:\n#   OPENAI_API_KEY, ANTHROPIC_API_KEY, GEMINI_API_KEY, AWS_ACCESS_KEY_ID, etc.\n# Set the appropriate env var for your chosen provider before running.\n#\n# Model name in LiteLLM format: \"provider/model-name\"\n# Examples: \"openai/gpt-4o\", \"anthropic/claude-sonnet-4-20250514\",\n#           \"bedrock/anthropic.claude-3-5-sonnet-20241022-v2:0\",\n#           \"gemini/gemini-2.5-flash\", \"ollama/llama3\"\nlitellm_model_name = \"openai/gpt-4o-mini\"\n\n# Subtitle Provider, \"edge\" or \"whisper\"\n# If empty, the subtitle will not be generated\nsubtitle_provider = \"edge\"\n\n#\n# ImageMagick\n#\n# Once you have installed it, ImageMagick will be automatically detected, except on Windows!\n# On Windows, for example \"C:\\Program Files (x86)\\ImageMagick-7.1.1-Q16-HDRI\\magick.exe\"\n# Download from https://imagemagick.org/archive/binaries/ImageMagick-7.1.1-29-Q16-x64-static.exe\n\n# imagemagick_path = \"C:\\\\Program Files (x86)\\\\ImageMagick-7.1.1-Q16\\\\magick.exe\"\n\n\n#\n# FFMPEG\n#\n# 通常情况下，ffmpeg 会被自动下载，并且会被自动检测到。\n# 但是如果你的环境有问题，无法自动下载，可能会遇到如下错误：\n#   RuntimeError: No ffmpeg exe could be found.\n#   Install ffmpeg on your system, or set the IMAGEIO_FFMPEG_EXE environment variable.\n# 此时你可以手动下载 ffmpeg 并设置 ffmpeg_path，下载地址：https://www.gyan.dev/ffmpeg/builds/\n\n# Under normal circumstances, ffmpeg is downloaded automatically and detected automatically.\n# However, if there is an issue with your environment that prevents automatic downloading, you might encounter the following error:\n#   RuntimeError: No ffmpeg exe could be found.\n#   Install ffmpeg on your system, or set the IMAGEIO_FFMPEG_EXE environment variable.\n# In such cases, you can manually download ffmpeg and set the ffmpeg_path, download link: https://www.gyan.dev/ffmpeg/builds/\n\n# ffmpeg_path = \"C:\\\\Users\\\\harry\\\\Downloads\\\\ffmpeg.exe\"\n#########################################################################################\n\n# 当视频生成成功后，API服务提供的视频下载接入点，默认为当前服务的地址和监听端口\n# 比如 http://127.0.0.1:8080/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n# 如果你需要使用域名对外提供服务（一般会用nginx做代理），则可以设置为你的域名\n# 比如 https://xxxx.com/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n# endpoint=\"https://xxxx.com\"\n\n# When the video is successfully generated, the API service provides a download endpoint for the video, defaulting to the service's current address and listening port.\n# For example, http://127.0.0.1:8080/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n# If you need to provide the service externally using a domain name (usually done with nginx as a proxy), you can set it to your domain name.\n# For example, https://xxxx.com/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n# endpoint=\"https://xxxx.com\"\nendpoint = \"\"\n\n\n# Video material storage location\n# material_directory = \"\"                    # Indicates that video materials will be downloaded to the default folder, the default folder is ./storage/cache_videos under the current project\n# material_directory = \"/user/harry/videos\"  # Indicates that video materials will be downloaded to a specified folder\n# material_directory = \"task\"                # Indicates that video materials will be downloaded to the current task's folder, this method does not allow sharing of already downloaded video materials\n\n# 视频素材存放位置\n# material_directory = \"\"                    #表示将视频素材下载到默认的文件夹，默认文件夹为当前项目下的 ./storage/cache_videos\n# material_directory = \"/user/harry/videos\"  #表示将视频素材下载到指定的文件夹中\n# material_directory = \"task\"                #表示将视频素材下载到当前任务的文件夹中，这种方式无法共享已经下载的视频素材\n\nmaterial_directory = \"\"\n\n# Used for state management of the task\nenable_redis = false\nredis_host = \"localhost\"\nredis_port = 6379\nredis_db = 0\nredis_password = \"\"\n\n# 文生视频时的最大并发任务数\nmax_concurrent_tasks = 5\n\n# 并发任务已满后的最大排队任务数，超过后接口返回 429，避免匿名请求无限堆积\nmax_queued_tasks = 100\n\n\n[whisper]\n# Only effective when subtitle_provider is \"whisper\"\n\n# Run on GPU with FP16\n# model = WhisperModel(model_size, device=\"cuda\", compute_type=\"float16\")\n\n# Run on GPU with INT8\n# model = WhisperModel(model_size, device=\"cuda\", compute_type=\"int8_float16\")\n\n# Run on CPU with INT8\n# model = WhisperModel(model_size, device=\"cpu\", compute_type=\"int8\")\n\n# recommended model_size: \"large-v3\"\nmodel_size = \"large-v3\"\n# if you want to use GPU, set device=\"cuda\"\ndevice = \"CPU\"\ncompute_type = \"int8\"\n\n\n[proxy]\n### Use a proxy to access the Pexels API\n### Format: \"http://<username>:<password>@<proxy>:<port>\"\n### Example: \"http://user:pass@proxy:1234\"\n### Doc: https://requests.readthedocs.io/en/latest/user/advanced/#proxies\n\n# http = \"http://10.10.1.10:3128\"\n# https = \"http://10.10.1.10:1080\"\n\n[azure]\n# Azure Speech API Key\n# Get your API key at https://portal.azure.com/#view/Microsoft_Azure_ProjectOxford/CognitiveServicesHub/~/SpeechServices\nspeech_key = \"\"\nspeech_region = \"\"\n\n[siliconflow]\n# SiliconFlow API Key\n# Get your API key at https://siliconflow.cn\napi_key = \"\"\n\n[ui]\n# UI related settings\n# 是否隐藏日志信息\n# Whether to hide logs in the UI\nhide_log = false\n\n# 字幕位置设置 (Subtitle position settings)\n# 可选值 (Available values): \"top\", \"center\", \"bottom\", \"custom\"\n# subtitle_position = \"custom\"\n# 自定义位置，表示离顶部的百分比 (0-100)，仅当 subtitle_position = \"custom\" 时生效\n# Custom position as percentage from top (0-100), only effective when subtitle_position = \"custom\"\n# custom_position = 70.0\n\n########## Upload-Post (Cross-post to TikTok/Instagram)\n# Upload-Post allows you to automatically cross-post generated videos to TikTok and Instagram.\n# Visit https://upload-post.com to create an account and get your API key.\n# API Documentation: https://docs.upload-post.com\n\n# Enable/disable Upload-Post integration\nupload_post_enabled = false\n\n# Your Upload-Post API key\nupload_post_api_key = \"\"\n\n# Your Upload-Post username\nupload_post_username = \"\"\n\n# Platforms to cross-post to (options: \"tiktok\", \"instagram\")\nupload_post_platforms = [\"tiktok\", \"instagram\"]\n\n# Automatically cross-post videos after generation (if false, you'll need to call the API manually)\nupload_post_auto_upload = false\n"}, "1e715303c63705a2ca280aff0d82a30518cf565c": {"t": 1785750538.8293314, "n": 11457, "h": "6e5cde5b1acd469c", "c": "[app]\nvideo_source = \"pexels\" # \"pexels\" or \"pixabay\"\n\n# 是否隐藏配置面板\nhide_config = false\n\n# Azure TTS V1(edge_tts) 单次流式请求超时时间，单位秒。\n# 网络异常、服务端限流或 voice 与文本语言不匹配时，edge_tts 可能长期卡住。\n# 默认 30 秒可避免 WebUI 任务无反馈；慢网络或代理环境可适当调大。\n# 设置为 0 表示禁用超时。\nedge_tts_timeout = 30\n\n# 是否校验外部 API 和素材下载的 TLS 证书。\n# 默认必须开启，避免 Pexels/Pixabay API key 和下载素材被中间人攻击篡改。\n# 只有在企业代理或自签证书环境明确需要时，才临时改为 false。\ntls_verify = true\n\n# Pexels API Key\n# Register at https://www.pexels.com/api/ to get your API key.\n# You can use multiple keys to avoid rate limits.\n# For example: pexels_api_keys = [\"123adsf4567adf89\",\"abd1321cd13efgfdfhi\"]\n# 特别注意格式，Key 用英文双引号括起来，多个Key用逗号隔开\npexels_api_keys = []\n\n# Pixabay API Key\n# Register at https://pixabay.com/api/docs/ to get your API key.\n# You can use multiple keys to avoid rate limits.\n# For example: pixabay_api_keys = [\"123adsf4567adf89\",\"abd1321cd13efgfdfhi\"]\n# 特别注意格式，Key 用英文双引号括起来，多个Key用逗号隔开\npixabay_api_keys = []\n\n# 支持的提供商 (Supported providers):\n#   openai\n#   moonshot    (月之暗面)\n#   azure\n#   qwen        (通义千问)\n#   deepseek\n#   gemini\n#   ollama\n#   g4f        (disabled by default; set enable_g4f=true only after accepting its risks)\n#   oneapi\n#   cloudflare\n#   minimax\n#   mimo       (Xiaomi MiMo)\n#   ernie       (文心一言)\n#   modelscope  (魔搭社区)\n#   litellm     (100+ providers via LiteLLM gateway)\nllm_provider = \"openai\"\n\n########## Pollinations AI Settings\n# Visit https://pollinations.ai/ to learn more\n# API Key is optional - leave empty for public access\npollinations_api_key = \"\"\n# Default base URL for Pollinations API\npollinations_base_url = \"https://pollinations.ai/api/v1\"\n# Default model for text generation\npollinations_model_name = \"openai-fast\"\n\n########## Ollama Settings\n# No need to set it unless you want to use your own proxy\nollama_base_url = \"\"\n# Check your available models at https://ollama.com/library\nollama_model_name = \"\"\n\n########## OpenAI API Key\n# Get your API key at https://platform.openai.com/api-keys\n# 也可以填写兼容 OpenAI Chat Completions 协议的供应商密钥，\n# 例如 OpenRouter 这类提供自定义 base_url 的平台。\nopenai_api_key = \"\"\n# No need to set it unless you want to use your own proxy\n# 如果使用兼容 OpenAI 接口的平台，请在这里填写对应的 base_url。\nopenai_base_url = \"\"\n# Check your available models at https://platform.openai.com/account/limits\n# 如果使用兼容供应商，请填写该平台要求的模型 ID。\nopenai_model_name = \"gpt-4o-mini\"\n\n########## Moonshot API Key\n# Visit https://platform.moonshot.cn/console/api-keys to get your API key.\nmoonshot_api_key = \"\"\nmoonshot_base_url = \"https://api.moonshot.cn/v1\"\nmoonshot_model_name = \"moonshot-v1-8k\"\n\n########## OneAPI API Key\n# Visit https://github.com/songquanpeng/one-api to get your API key\noneapi_api_key = \"\"\noneapi_base_url = \"\"\noneapi_model_name = \"\"\n\n########## G4F\n# g4f relies on reverse-engineered third-party endpoints and is not recommended\n# for production. Prefer official APIs, OpenAI-compatible providers, LiteLLM,\n# Ollama, or local inference.\n# If you still need it, install the optional dependency with:\n#   uv sync --extra g4f\nenable_g4f = false\n# Visit https://github.com/xtekky/gpt4free to get more details\n# Supported model list: https://github.com/xtekky/gpt4free/blob/main/g4f/models.py\ng4f_model_name = \"gpt-3.5-turbo\"\n\n########## Azure API Key\n# Visit https://learn.microsoft.com/zh-cn/azure/ai-services/openai/ to get more details\n# API documentation: https://learn.microsoft.com/zh-cn/azure/ai-services/openai/reference\nazure_api_key = \"\"\nazure_base_url = \"\"\nazure_model_name = \"gpt-35-turbo\"        # replace with your model deployment name\nazure_api_version = \"2024-02-15-preview\"\n\n########## Gemini API Key\ngemini_api_key = \"\"\ngemini_model_name = \"gemini-2.5-flash\"\n\n########## Grok API Key\ngrok_api_key = \"\"\ngrok_model_name = \"grok-4.3\"\ngrok_base_url = \"https://api.x.ai/v1\"\n\n########## Qwen API Key\n# Visit https://dashscope.console.aliyun.com/apiKey to get your API key\n# Visit below links to get more details\n# https://tongyi.aliyun.com/qianwen/\n# https://help.aliyun.com/zh/dashscope/developer-reference/model-introduction\nqwen_api_key = \"\"\nqwen_model_name = \"qwen-max\"\n\n\n########## MiniMax API Key\n# Visit https://platform.minimax.io to get your API key\n# MiniMax API is OpenAI-compatible\n# Available models: MiniMax-M2.7 (default), MiniMax-M2.7-highspeed\nminimax_api_key = \"\"\nminimax_base_url = \"https://api.minimax.io/v1\"\nminimax_model_name = \"MiniMax-M2.7\"\n\n########## Xiaomi MiMo API Key\n# Xiaomi MiMo API is OpenAI-compatible.\n# Visit https://platform.xiaomimimo.com/docs/zh-CN/quick-start/first-api-call to get more details.\nmimo_api_key = \"\"\nmimo_base_url = \"https://api.xiaomimimo.com/v1\"\nmimo_model_name = \"mimo-v2.5-pro\"\n\n########## DeepSeek API Key\n# Visit https://platform.deepseek.com/api_keys to get your API key\ndeepseek_api_key = \"\"\ndeepseek_base_url = \"https://api.deepseek.com\"\ndeepseek_model_name = \"deepseek-chat\"\n\n\n########## ModelScope API Key\n# Visit https://modelscope.cn/docs/model-service/API-Inference/intro to get your API key\n# And note that you need to bind your Alibaba Cloud account before using the API.\nmodelscope_api_key = \"\"\nmodelscope_base_url = \"https://api-inference.modelscope.cn/v1/\"\nmodelscope_model_name = \"Qwen/Qwen3-32B\"\n\n########## LiteLLM (AI Gateway — 100+ providers)\n# LiteLLM routes to any LLM provider via a unified interface.\n# Use this for providers not directly supported above: Anthropic (native API),\n# AWS Bedrock, Google Vertex AI, Cohere, Mistral, Together AI, etc.\n# Visit https://docs.litellm.ai/docs/providers for the full list.\n#\n# LiteLLM reads provider API keys from environment variables automatically:\n#   OPENAI_API_KEY, ANTHROPIC_API_KEY, GEMINI_API_KEY, AWS_ACCESS_KEY_ID, etc.\n# Set the appropriate env var for your chosen provider before running.\n#\n# Model name in LiteLLM format: \"provider/model-name\"\n# Examples: \"openai/gpt-4o\", \"anthropic/claude-sonnet-4-20250514\",\n#           \"bedrock/anthropic.claude-3-5-sonnet-20241022-v2:0\",\n#           \"gemini/gemini-2.5-flash\", \"ollama/llama3\"\nlitellm_model_name = \"openai/gpt-4o-mini\"\n\n# Subtitle Provider, \"edge\" or \"whisper\"\n# If empty, the subtitle will not be generated\nsubtitle_provider = \"edge\"\n\n#\n# ImageMagick\n#\n# Once you have installed it, ImageMagick will be automatically detected, except on Windows!\n# On Windows, for example \"C:\\Program Files (x86)\\ImageMagick-7.1.1-Q16-HDRI\\magick.exe\"\n# Download from https://imagemagick.org/archive/binaries/ImageMagick-7.1.1-29-Q16-x64-static.exe\n\n# imagemagick_path = \"C:\\\\Program Files (x86)\\\\ImageMagick-7.1.1-Q16\\\\magick.exe\"\n\n\n#\n# FFMPEG\n#\n# 通常情况下，ffmpeg 会被自动下载，并且会被自动检测到。\n# 但是如果你的环境有问题，无法自动下载，可能会遇到如下错误：\n#   RuntimeError: No ffmpeg exe could be found.\n#   Install ffmpeg on your system, or set the IMAGEIO_FFMPEG_EXE environment variable.\n# 此时你可以手动下载 ffmpeg 并设置 ffmpeg_path，下载地址：https://www.gyan.dev/ffmpeg/builds/\n\n# Under normal circumstances, ffmpeg is downloaded automatically and detected automatically.\n# However, if there is an issue with your environment that prevents automatic downloading, you might encounter the following error:\n#   RuntimeError: No ffmpeg exe could be found.\n#   Install ffmpeg on your system, or set the IMAGEIO_FFMPEG_EXE environment variable.\n# In such cases, you can manually download ffmpeg and set the ffmpeg_path, download link: https://www.gyan.dev/ffmpeg/builds/\n\n# ffmpeg_path = \"C:\\\\Users\\\\harry\\\\Downloads\\\\ffmpeg.exe\"\n#########################################################################################\n\n# 当视频生成成功后，API服务提供的视频下载接入点，默认为当前服务的地址和监听端口\n# 比如 http://127.0.0.1:8080/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n# 如果你需要使用域名对外提供服务（一般会用nginx做代理），则可以设置为你的域名\n# 比如 https://xxxx.com/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n# endpoint=\"https://xxxx.com\"\n\n# When the video is successfully generated, the API service provides a download endpoint for the video, defaulting to the service's current address and listening port.\n# For example, http://127.0.0.1:8080/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n# If you need to provide the service externally using a domain name (usually done with nginx as a proxy), you can set it to your domain name.\n# For example, https://xxxx.com/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n# endpoint=\"https://xxxx.com\"\nendpoint = \"\"\n\n\n# Video material storage location\n# material_directory = \"\"                    # Indicates that video materials will be downloaded to the default folder, the default folder is ./storage/cache_videos under the current project\n# material_directory = \"/user/harry/videos\"  # Indicates that video materials will be downloaded to a specified folder\n# material_directory = \"task\"                # Indicates that video materials will be downloaded to the current task's folder, this method does not allow sharing of already downloaded video materials\n\n# 视频素材存放位置\n# material_directory = \"\"                    #表示将视频素材下载到默认的文件夹，默认文件夹为当前项目下的 ./storage/cache_videos\n# material_directory = \"/user/harry/videos\"  #表示将视频素材下载到指定的文件夹中\n# material_directory = \"task\"                #表示将视频素材下载到当前任务的文件夹中，这种方式无法共享已经下载的视频素材\n\nmaterial_directory = \"\"\n\n# Used for state management of the task\nenable_redis = false\nredis_host = \"localhost\"\nredis_port = 6379\nredis_db = 0\nredis_password = \"\"\n\n# 文生视频时的最大并发任务数\nmax_concurrent_tasks = 5\n\n# 并发任务已满后的最大排队任务数，超过后接口返回 429，避免匿名请求无限堆积\nmax_queued_tasks = 100\n\n\n[whisper]\n# Only effective when subtitle_provider is \"whisper\"\n\n# Run on GPU with FP16\n# model = WhisperModel(model_size, device=\"cuda\", compute_type=\"float16\")\n\n# Run on GPU with INT8\n# model = WhisperModel(model_size, device=\"cuda\", compute_type=\"int8_float16\")\n\n# Run on CPU with INT8\n# model = WhisperModel(model_size, device=\"cpu\", compute_type=\"int8\")\n\n# recommended model_size: \"large-v3\"\nmodel_size = \"large-v3\"\n# if you want to use GPU, set device=\"cuda\"\ndevice = \"CPU\"\ncompute_type = \"int8\"\n\n\n[proxy]\n### Use a proxy to access the Pexels API\n### Format: \"http://<username>:<password>@<proxy>:<port>\"\n### Example: \"http://user:pass@proxy:1234\"\n### Doc: https://requests.readthedocs.io/en/latest/user/advanced/#proxies\n\n# http = \"http://10.10.1.10:3128\"\n# https = \"http://10.10.1.10:1080\"\n\n[azure]\n# Azure Speech API Key\n# Get your API key at https://portal.azure.com/#view/Microsoft_Azure_ProjectOxford/CognitiveServicesHub/~/SpeechServices\nspeech_key = \"\"\nspeech_region = \"\"\n\n[siliconflow]\n# SiliconFlow API Key\n# Get your API key at https://siliconflow.cn\napi_key = \"\"\n\n[ui]\n# UI related settings\n# 是否隐藏日志信息\n# Whether to hide logs in the UI\nhide_log = false\n\n# 字幕位置设置 (Subtitle position settings)\n# 可选值 (Available values): \"top\", \"center\", \"bottom\", \"custom\"\n# subtitle_position = \"custom\"\n# 自定义位置，表示离顶部的百分比 (0-100)，仅当 subtitle_position = \"custom\" 时生效\n# Custom position as percentage from top (0-100), only effective when subtitle_position = \"custom\"\n# custom_position = 70.0\n\n########## Upload-Post (Cross-post to TikTok/Instagram)\n# Upload-Post allows you to automatically cross-post generated videos to TikTok and Instagram.\n# Visit https://upload-post.com to create an account and get your API key.\n# API Documentation: https://docs.upload-post.com\n\n# Enable/disable Upload-Post integration\nupload_post_enabled = false\n\n# Your Upload-Post API key\nupload_post_api_key = \"\"\n\n# Your Upload-Post username\nupload_post_username = \"\"\n\n# Platforms to cross-post to (options: \"tiktok\", \"instagram\")\nupload_post_platforms = [\"tiktok\", \"instagram\"]\n\n# Automatically cross-post videos after generation (if false, you'll need to call the API manually)\nupload_post_auto_upload = false\n"}, "65fd333a8cf82742fac0643e7222cd9346e5d5b3": {"t": 1785750543.1748297, "n": 11157, "h": "58856d0a23d6c2a8", "c": "[app]\nvideo_source = \"pexels\" # \"pexels\" or \"pixabay\"\n\n# 是否隐藏配置面板\nhide_config = false\n\n# Azure TTS V1(edge_tts) 单次流式请求超时时间，单位秒。\n# 网络异常、服务端限流或 voice 与文本语言不匹配时，edge_tts 可能长期卡住。\n# 默认 30 秒可避免 WebUI 任务无反馈；慢网络或代理环境可适当调大。\n# 设置为 0 表示禁用超时。\nedge_tts_timeout = 30\n\n# 是否校验外部 API 和素材下载的 TLS 证书。\n# 默认必须开启，避免 Pexels/Pixabay API key 和下载素材被中间人攻击篡改。\n# 只有在企业代理或自签证书环境明确需要时，才临时改为 false。\ntls_verify = true\n\n# Pexels API Key\n# Register at https://www.pexels.com/api/ to get your API key.\n# You can use multiple keys to avoid rate limits.\n# For example: pexels_api_keys = [\"123adsf4567adf89\",\"abd1321cd13efgfdfhi\"]\n# 特别注意格式，Key 用英文双引号括起来，多个Key用逗号隔开\npexels_api_keys = []\n\n# Pixabay API Key\n# Register at https://pixabay.com/api/docs/ to get your API key.\n# You can use multiple keys to avoid rate limits.\n# For example: pixabay_api_keys = [\"123adsf4567adf89\",\"abd1321cd13efgfdfhi\"]\n# 特别注意格式，Key 用英文双引号括起来，多个Key用逗号隔开\npixabay_api_keys = []\n\n# 支持的提供商 (Supported providers):\n#   openai\n#   moonshot    (月之暗面)\n#   azure\n#   qwen        (通义千问)\n#   deepseek\n#   gemini\n#   ollama\n#   g4f        (disabled by default; set enable_g4f=true only after accepting its risks)\n#   oneapi\n#   cloudflare\n#   minimax\n#   ernie       (文心一言)\n#   modelscope  (魔搭社区)\n#   litellm     (100+ providers via LiteLLM gateway)\nllm_provider = \"openai\"\n\n########## Pollinations AI Settings\n# Visit https://pollinations.ai/ to learn more\n# API Key is optional - leave empty for public access\npollinations_api_key = \"\"\n# Default base URL for Pollinations API\npollinations_base_url = \"https://pollinations.ai/api/v1\"\n# Default model for text generation\npollinations_model_name = \"openai-fast\"\n\n########## Ollama Settings\n# No need to set it unless you want to use your own proxy\nollama_base_url = \"\"\n# Check your available models at https://ollama.com/library\nollama_model_name = \"\"\n\n########## OpenAI API Key\n# Get your API key at https://platform.openai.com/api-keys\n# 也可以填写兼容 OpenAI Chat Completions 协议的供应商密钥，\n# 例如 OpenRouter 这类提供自定义 base_url 的平台。\nopenai_api_key = \"\"\n# No need to set it unless you want to use your own proxy\n# 如果使用兼容 OpenAI 接口的平台，请在这里填写对应的 base_url。\nopenai_base_url = \"\"\n# Check your available models at https://platform.openai.com/account/limits\n# 如果使用兼容供应商，请填写该平台要求的模型 ID。\nopenai_model_name = \"gpt-4o-mini\"\n\n########## Moonshot API Key\n# Visit https://platform.moonshot.cn/console/api-keys to get your API key.\nmoonshot_api_key = \"\"\nmoonshot_base_url = \"https://api.moonshot.cn/v1\"\nmoonshot_model_name = \"moonshot-v1-8k\"\n\n########## OneAPI API Key\n# Visit https://github.com/songquanpeng/one-api to get your API key\noneapi_api_key = \"\"\noneapi_base_url = \"\"\noneapi_model_name = \"\"\n\n########## G4F\n# g4f relies on reverse-engineered third-party endpoints and is not recommended\n# for production. Prefer official APIs, OpenAI-compatible providers, LiteLLM,\n# Ollama, or local inference.\n# If you still need it, install the optional dependency with:\n#   uv sync --extra g4f\nenable_g4f = false\n# Visit https://github.com/xtekky/gpt4free to get more details\n# Supported model list: https://github.com/xtekky/gpt4free/blob/main/g4f/models.py\ng4f_model_name = \"gpt-3.5-turbo\"\n\n########## Azure API Key\n# Visit https://learn.microsoft.com/zh-cn/azure/ai-services/openai/ to get more details\n# API documentation: https://learn.microsoft.com/zh-cn/azure/ai-services/openai/reference\nazure_api_key = \"\"\nazure_base_url = \"\"\nazure_model_name = \"gpt-35-turbo\"        # replace with your model deployment name\nazure_api_version = \"2024-02-15-preview\"\n\n########## Gemini API Key\ngemini_api_key = \"\"\ngemini_model_name = \"gemini-2.5-flash\"\n\n########## Grok API Key\ngrok_api_key = \"\"\ngrok_model_name = \"grok-4.3\"\ngrok_base_url = \"https://api.x.ai/v1\"\n\n########## Qwen API Key\n# Visit https://dashscope.console.aliyun.com/apiKey to get your API key\n# Visit below links to get more details\n# https://tongyi.aliyun.com/qianwen/\n# https://help.aliyun.com/zh/dashscope/developer-reference/model-introduction\nqwen_api_key = \"\"\nqwen_model_name = \"qwen-max\"\n\n\n########## MiniMax API Key\n# Visit https://platform.minimax.io to get your API key\n# MiniMax API is OpenAI-compatible\n# Available models: MiniMax-M2.7 (default), MiniMax-M2.7-highspeed\nminimax_api_key = \"\"\nminimax_base_url = \"https://api.minimax.io/v1\"\nminimax_model_name = \"MiniMax-M2.7\"\n\n########## DeepSeek API Key\n# Visit https://platform.deepseek.com/api_keys to get your API key\ndeepseek_api_key = \"\"\ndeepseek_base_url = \"https://api.deepseek.com\"\ndeepseek_model_name = \"deepseek-chat\"\n\n\n########## ModelScope API Key\n# Visit https://modelscope.cn/docs/model-service/API-Inference/intro to get your API key\n# And note that you need to bind your Alibaba Cloud account before using the API.\nmodelscope_api_key = \"\"\nmodelscope_base_url = \"https://api-inference.modelscope.cn/v1/\"\nmodelscope_model_name = \"Qwen/Qwen3-32B\"\n\n########## LiteLLM (AI Gateway — 100+ providers)\n# LiteLLM routes to any LLM provider via a unified interface.\n# Use this for providers not directly supported above: Anthropic (native API),\n# AWS Bedrock, Google Vertex AI, Cohere, Mistral, Together AI, etc.\n# Visit https://docs.litellm.ai/docs/providers for the full list.\n#\n# LiteLLM reads provider API keys from environment variables automatically:\n#   OPENAI_API_KEY, ANTHROPIC_API_KEY, GEMINI_API_KEY, AWS_ACCESS_KEY_ID, etc.\n# Set the appropriate env var for your chosen provider before running.\n#\n# Model name in LiteLLM format: \"provider/model-name\"\n# Examples: \"openai/gpt-4o\", \"anthropic/claude-sonnet-4-20250514\",\n#           \"bedrock/anthropic.claude-3-5-sonnet-20241022-v2:0\",\n#           \"gemini/gemini-2.5-flash\", \"ollama/llama3\"\nlitellm_model_name = \"openai/gpt-4o-mini\"\n\n# Subtitle Provider, \"edge\" or \"whisper\"\n# If empty, the subtitle will not be generated\nsubtitle_provider = \"edge\"\n\n#\n# ImageMagick\n#\n# Once you have installed it, ImageMagick will be automatically detected, except on Windows!\n# On Windows, for example \"C:\\Program Files (x86)\\ImageMagick-7.1.1-Q16-HDRI\\magick.exe\"\n# Download from https://imagemagick.org/archive/binaries/ImageMagick-7.1.1-29-Q16-x64-static.exe\n\n# imagemagick_path = \"C:\\\\Program Files (x86)\\\\ImageMagick-7.1.1-Q16\\\\magick.exe\"\n\n\n#\n# FFMPEG\n#\n# 通常情况下，ffmpeg 会被自动下载，并且会被自动检测到。\n# 但是如果你的环境有问题，无法自动下载，可能会遇到如下错误：\n#   RuntimeError: No ffmpeg exe could be found.\n#   Install ffmpeg on your system, or set the IMAGEIO_FFMPEG_EXE environment variable.\n# 此时你可以手动下载 ffmpeg 并设置 ffmpeg_path，下载地址：https://www.gyan.dev/ffmpeg/builds/\n\n# Under normal circumstances, ffmpeg is downloaded automatically and detected automatically.\n# However, if there is an issue with your environment that prevents automatic downloading, you might encounter the following error:\n#   RuntimeError: No ffmpeg exe could be found.\n#   Install ffmpeg on your system, or set the IMAGEIO_FFMPEG_EXE environment variable.\n# In such cases, you can manually download ffmpeg and set the ffmpeg_path, download link: https://www.gyan.dev/ffmpeg/builds/\n\n# ffmpeg_path = \"C:\\\\Users\\\\harry\\\\Downloads\\\\ffmpeg.exe\"\n#########################################################################################\n\n# 当视频生成成功后，API服务提供的视频下载接入点，默认为当前服务的地址和监听端口\n# 比如 http://127.0.0.1:8080/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n# 如果你需要使用域名对外提供服务（一般会用nginx做代理），则可以设置为你的域名\n# 比如 https://xxxx.com/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n# endpoint=\"https://xxxx.com\"\n\n# When the video is successfully generated, the API service provides a download endpoint for the video, defaulting to the service's current address and listening port.\n# For example, http://127.0.0.1:8080/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n# If you need to provide the service externally using a domain name (usually done with nginx as a proxy), you can set it to your domain name.\n# For example, https://xxxx.com/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n# endpoint=\"https://xxxx.com\"\nendpoint = \"\"\n\n\n# Video material storage location\n# material_directory = \"\"                    # Indicates that video materials will be downloaded to the default folder, the default folder is ./storage/cache_videos under the current project\n# material_directory = \"/user/harry/videos\"  # Indicates that video materials will be downloaded to a specified folder\n# material_directory = \"task\"                # Indicates that video materials will be downloaded to the current task's folder, this method does not allow sharing of already downloaded video materials\n\n# 视频素材存放位置\n# material_directory = \"\"                    #表示将视频素材下载到默认的文件夹，默认文件夹为当前项目下的 ./storage/cache_videos\n# material_directory = \"/user/harry/videos\"  #表示将视频素材下载到指定的文件夹中\n# material_directory = \"task\"                #表示将视频素材下载到当前任务的文件夹中，这种方式无法共享已经下载的视频素材\n\nmaterial_directory = \"\"\n\n# Used for state management of the task\nenable_redis = false\nredis_host = \"localhost\"\nredis_port = 6379\nredis_db = 0\nredis_password = \"\"\n\n# 文生视频时的最大并发任务数\nmax_concurrent_tasks = 5\n\n# 并发任务已满后的最大排队任务数，超过后接口返回 429，避免匿名请求无限堆积\nmax_queued_tasks = 100\n\n\n[whisper]\n# Only effective when subtitle_provider is \"whisper\"\n\n# Run on GPU with FP16\n# model = WhisperModel(model_size, device=\"cuda\", compute_type=\"float16\")\n\n# Run on GPU with INT8\n# model = WhisperModel(model_size, device=\"cuda\", compute_type=\"int8_float16\")\n\n# Run on CPU with INT8\n# model = WhisperModel(model_size, device=\"cpu\", compute_type=\"int8\")\n\n# recommended model_size: \"large-v3\"\nmodel_size = \"large-v3\"\n# if you want to use GPU, set device=\"cuda\"\ndevice = \"CPU\"\ncompute_type = \"int8\"\n\n\n[proxy]\n### Use a proxy to access the Pexels API\n### Format: \"http://<username>:<password>@<proxy>:<port>\"\n### Example: \"http://user:pass@proxy:1234\"\n### Doc: https://requests.readthedocs.io/en/latest/user/advanced/#proxies\n\n# http = \"http://10.10.1.10:3128\"\n# https = \"http://10.10.1.10:1080\"\n\n[azure]\n# Azure Speech API Key\n# Get your API key at https://portal.azure.com/#view/Microsoft_Azure_ProjectOxford/CognitiveServicesHub/~/SpeechServices\nspeech_key = \"\"\nspeech_region = \"\"\n\n[siliconflow]\n# SiliconFlow API Key\n# Get your API key at https://siliconflow.cn\napi_key = \"\"\n\n[ui]\n# UI related settings\n# 是否隐藏日志信息\n# Whether to hide logs in the UI\nhide_log = false\n\n# 字幕位置设置 (Subtitle position settings)\n# 可选值 (Available values): \"top\", \"center\", \"bottom\", \"custom\"\n# subtitle_position = \"custom\"\n# 自定义位置，表示离顶部的百分比 (0-100)，仅当 subtitle_position = \"custom\" 时生效\n# Custom position as percentage from top (0-100), only effective when subtitle_position = \"custom\"\n# custom_position = 70.0\n\n########## Upload-Post (Cross-post to TikTok/Instagram)\n# Upload-Post allows you to automatically cross-post generated videos to TikTok and Instagram.\n# Visit https://upload-post.com to create an account and get your API key.\n# API Documentation: https://docs.upload-post.com\n\n# Enable/disable Upload-Post integration\nupload_post_enabled = false\n\n# Your Upload-Post API key\nupload_post_api_key = \"\"\n\n# Your Upload-Post username\nupload_post_username = \"\"\n\n# Platforms to cross-post to (options: \"tiktok\", \"instagram\")\nupload_post_platforms = [\"tiktok\", \"instagram\"]\n\n# Automatically cross-post videos after generation (if false, you'll need to call the API manually)\nupload_post_auto_upload = false\n"}, "ef9877a31da26f20b5263b7bf4e35042e708211c": {"t": 1785750544.681936, "n": 11047, "h": "56f3f8f983c2d8c8", "c": "[app]\nvideo_source = \"pexels\" # \"pexels\" or \"pixabay\"\n\n# 是否隐藏配置面板\nhide_config = false\n\n# Azure TTS V1(edge_tts) 单次流式请求超时时间，单位秒。\n# 网络异常、服务端限流或 voice 与文本语言不匹配时，edge_tts 可能长期卡住。\n# 默认 30 秒可避免 WebUI 任务无反馈；慢网络或代理环境可适当调大。\n# 设置为 0 表示禁用超时。\nedge_tts_timeout = 30\n\n# 是否校验外部 API 和素材下载的 TLS 证书。\n# 默认必须开启，避免 Pexels/Pixabay API key 和下载素材被中间人攻击篡改。\n# 只有在企业代理或自签证书环境明确需要时，才临时改为 false。\ntls_verify = true\n\n# Pexels API Key\n# Register at https://www.pexels.com/api/ to get your API key.\n# You can use multiple keys to avoid rate limits.\n# For example: pexels_api_keys = [\"123adsf4567adf89\",\"abd1321cd13efgfdfhi\"]\n# 特别注意格式，Key 用英文双引号括起来，多个Key用逗号隔开\npexels_api_keys = []\n\n# Pixabay API Key\n# Register at https://pixabay.com/api/docs/ to get your API key.\n# You can use multiple keys to avoid rate limits.\n# For example: pixabay_api_keys = [\"123adsf4567adf89\",\"abd1321cd13efgfdfhi\"]\n# 特别注意格式，Key 用英文双引号括起来，多个Key用逗号隔开\npixabay_api_keys = []\n\n# 支持的提供商 (Supported providers):\n#   openai\n#   moonshot    (月之暗面)\n#   azure\n#   qwen        (通义千问)\n#   deepseek\n#   gemini\n#   ollama\n#   g4f        (disabled by default; set enable_g4f=true only after accepting its risks)\n#   oneapi\n#   cloudflare\n#   minimax\n#   ernie       (文心一言)\n#   modelscope  (魔搭社区)\n#   litellm     (100+ providers via LiteLLM gateway)\nllm_provider = \"openai\"\n\n########## Pollinations AI Settings\n# Visit https://pollinations.ai/ to learn more\n# API Key is optional - leave empty for public access\npollinations_api_key = \"\"\n# Default base URL for Pollinations API\npollinations_base_url = \"https://pollinations.ai/api/v1\"\n# Default model for text generation\npollinations_model_name = \"openai-fast\"\n\n########## Ollama Settings\n# No need to set it unless you want to use your own proxy\nollama_base_url = \"\"\n# Check your available models at https://ollama.com/library\nollama_model_name = \"\"\n\n########## OpenAI API Key\n# Get your API key at https://platform.openai.com/api-keys\n# 也可以填写兼容 OpenAI Chat Completions 协议的供应商密钥，\n# 例如 OpenRouter 这类提供自定义 base_url 的平台。\nopenai_api_key = \"\"\n# No need to set it unless you want to use your own proxy\n# 如果使用兼容 OpenAI 接口的平台，请在这里填写对应的 base_url。\nopenai_base_url = \"\"\n# Check your available models at https://platform.openai.com/account/limits\n# 如果使用兼容供应商，请填写该平台要求的模型 ID。\nopenai_model_name = \"gpt-4o-mini\"\n\n########## Moonshot API Key\n# Visit https://platform.moonshot.cn/console/api-keys to get your API key.\nmoonshot_api_key = \"\"\nmoonshot_base_url = \"https://api.moonshot.cn/v1\"\nmoonshot_model_name = \"moonshot-v1-8k\"\n\n########## OneAPI API Key\n# Visit https://github.com/songquanpeng/one-api to get your API key\noneapi_api_key = \"\"\noneapi_base_url = \"\"\noneapi_model_name = \"\"\n\n########## G4F\n# g4f relies on reverse-engineered third-party endpoints and is not recommended\n# for production. Prefer official APIs, OpenAI-compatible providers, LiteLLM,\n# Ollama, or local inference.\n# If you still need it, install the optional dependency with:\n#   uv sync --extra g4f\nenable_g4f = false\n# Visit https://github.com/xtekky/gpt4free to get more details\n# Supported model list: https://github.com/xtekky/gpt4free/blob/main/g4f/models.py\ng4f_model_name = \"gpt-3.5-turbo\"\n\n########## Azure API Key\n# Visit https://learn.microsoft.com/zh-cn/azure/ai-services/openai/ to get more details\n# API documentation: https://learn.microsoft.com/zh-cn/azure/ai-services/openai/reference\nazure_api_key = \"\"\nazure_base_url = \"\"\nazure_model_name = \"gpt-35-turbo\"        # replace with your model deployment name\nazure_api_version = \"2024-02-15-preview\"\n\n########## Gemini API Key\ngemini_api_key = \"\"\ngemini_model_name = \"gemini-2.5-flash\"\n\n########## Qwen API Key\n# Visit https://dashscope.console.aliyun.com/apiKey to get your API key\n# Visit below links to get more details\n# https://tongyi.aliyun.com/qianwen/\n# https://help.aliyun.com/zh/dashscope/developer-reference/model-introduction\nqwen_api_key = \"\"\nqwen_model_name = \"qwen-max\"\n\n\n########## MiniMax API Key\n# Visit https://platform.minimax.io to get your API key\n# MiniMax API is OpenAI-compatible\n# Available models: MiniMax-M2.7 (default), MiniMax-M2.7-highspeed\nminimax_api_key = \"\"\nminimax_base_url = \"https://api.minimax.io/v1\"\nminimax_model_name = \"MiniMax-M2.7\"\n\n########## DeepSeek API Key\n# Visit https://platform.deepseek.com/api_keys to get your API key\ndeepseek_api_key = \"\"\ndeepseek_base_url = \"https://api.deepseek.com\"\ndeepseek_model_name = \"deepseek-chat\"\n\n\n########## ModelScope API Key\n# Visit https://modelscope.cn/docs/model-service/API-Inference/intro to get your API key\n# And note that you need to bind your Alibaba Cloud account before using the API.\nmodelscope_api_key = \"\"\nmodelscope_base_url = \"https://api-inference.modelscope.cn/v1/\"\nmodelscope_model_name = \"Qwen/Qwen3-32B\"\n\n########## LiteLLM (AI Gateway — 100+ providers)\n# LiteLLM routes to any LLM provider via a unified interface.\n# Use this for providers not directly supported above: Anthropic (native API),\n# AWS Bedrock, Google Vertex AI, Cohere, Mistral, Together AI, etc.\n# Visit https://docs.litellm.ai/docs/providers for the full list.\n#\n# LiteLLM reads provider API keys from environment variables automatically:\n#   OPENAI_API_KEY, ANTHROPIC_API_KEY, GEMINI_API_KEY, AWS_ACCESS_KEY_ID, etc.\n# Set the appropriate env var for your chosen provider before running.\n#\n# Model name in LiteLLM format: \"provider/model-name\"\n# Examples: \"openai/gpt-4o\", \"anthropic/claude-sonnet-4-20250514\",\n#           \"bedrock/anthropic.claude-3-5-sonnet-20241022-v2:0\",\n#           \"gemini/gemini-2.5-flash\", \"ollama/llama3\"\nlitellm_model_name = \"openai/gpt-4o-mini\"\n\n# Subtitle Provider, \"edge\" or \"whisper\"\n# If empty, the subtitle will not be generated\nsubtitle_provider = \"edge\"\n\n#\n# ImageMagick\n#\n# Once you have installed it, ImageMagick will be automatically detected, except on Windows!\n# On Windows, for example \"C:\\Program Files (x86)\\ImageMagick-7.1.1-Q16-HDRI\\magick.exe\"\n# Download from https://imagemagick.org/archive/binaries/ImageMagick-7.1.1-29-Q16-x64-static.exe\n\n# imagemagick_path = \"C:\\\\Program Files (x86)\\\\ImageMagick-7.1.1-Q16\\\\magick.exe\"\n\n\n#\n# FFMPEG\n#\n# 通常情况下，ffmpeg 会被自动下载，并且会被自动检测到。\n# 但是如果你的环境有问题，无法自动下载，可能会遇到如下错误：\n#   RuntimeError: No ffmpeg exe could be found.\n#   Install ffmpeg on your system, or set the IMAGEIO_FFMPEG_EXE environment variable.\n# 此时你可以手动下载 ffmpeg 并设置 ffmpeg_path，下载地址：https://www.gyan.dev/ffmpeg/builds/\n\n# Under normal circumstances, ffmpeg is downloaded automatically and detected automatically.\n# However, if there is an issue with your environment that prevents automatic downloading, you might encounter the following error:\n#   RuntimeError: No ffmpeg exe could be found.\n#   Install ffmpeg on your system, or set the IMAGEIO_FFMPEG_EXE environment variable.\n# In such cases, you can manually download ffmpeg and set the ffmpeg_path, download link: https://www.gyan.dev/ffmpeg/builds/\n\n# ffmpeg_path = \"C:\\\\Users\\\\harry\\\\Downloads\\\\ffmpeg.exe\"\n#########################################################################################\n\n# 当视频生成成功后，API服务提供的视频下载接入点，默认为当前服务的地址和监听端口\n# 比如 http://127.0.0.1:8080/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n# 如果你需要使用域名对外提供服务（一般会用nginx做代理），则可以设置为你的域名\n# 比如 https://xxxx.com/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n# endpoint=\"https://xxxx.com\"\n\n# When the video is successfully generated, the API service provides a download endpoint for the video, defaulting to the service's current address and listening port.\n# For example, http://127.0.0.1:8080/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n# If you need to provide the service externally using a domain name (usually done with nginx as a proxy), you can set it to your domain name.\n# For example, https://xxxx.com/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n# endpoint=\"https://xxxx.com\"\nendpoint = \"\"\n\n\n# Video material storage location\n# material_directory = \"\"                    # Indicates that video materials will be downloaded to the default folder, the default folder is ./storage/cache_videos under the current project\n# material_directory = \"/user/harry/videos\"  # Indicates that video materials will be downloaded to a specified folder\n# material_directory = \"task\"                # Indicates that video materials will be downloaded to the current task's folder, this method does not allow sharing of already downloaded video materials\n\n# 视频素材存放位置\n# material_directory = \"\"                    #表示将视频素材下载到默认的文件夹，默认文件夹为当前项目下的 ./storage/cache_videos\n# material_directory = \"/user/harry/videos\"  #表示将视频素材下载到指定的文件夹中\n# material_directory = \"task\"                #表示将视频素材下载到当前任务的文件夹中，这种方式无法共享已经下载的视频素材\n\nmaterial_directory = \"\"\n\n# Used for state management of the task\nenable_redis = false\nredis_host = \"localhost\"\nredis_port = 6379\nredis_db = 0\nredis_password = \"\"\n\n# 文生视频时的最大并发任务数\nmax_concurrent_tasks = 5\n\n# 并发任务已满后的最大排队任务数，超过后接口返回 429，避免匿名请求无限堆积\nmax_queued_tasks = 100\n\n\n[whisper]\n# Only effective when subtitle_provider is \"whisper\"\n\n# Run on GPU with FP16\n# model = WhisperModel(model_size, device=\"cuda\", compute_type=\"float16\")\n\n# Run on GPU with INT8\n# model = WhisperModel(model_size, device=\"cuda\", compute_type=\"int8_float16\")\n\n# Run on CPU with INT8\n# model = WhisperModel(model_size, device=\"cpu\", compute_type=\"int8\")\n\n# recommended model_size: \"large-v3\"\nmodel_size = \"large-v3\"\n# if you want to use GPU, set device=\"cuda\"\ndevice = \"CPU\"\ncompute_type = \"int8\"\n\n\n[proxy]\n### Use a proxy to access the Pexels API\n### Format: \"http://<username>:<password>@<proxy>:<port>\"\n### Example: \"http://user:pass@proxy:1234\"\n### Doc: https://requests.readthedocs.io/en/latest/user/advanced/#proxies\n\n# http = \"http://10.10.1.10:3128\"\n# https = \"http://10.10.1.10:1080\"\n\n[azure]\n# Azure Speech API Key\n# Get your API key at https://portal.azure.com/#view/Microsoft_Azure_ProjectOxford/CognitiveServicesHub/~/SpeechServices\nspeech_key = \"\"\nspeech_region = \"\"\n\n[siliconflow]\n# SiliconFlow API Key\n# Get your API key at https://siliconflow.cn\napi_key = \"\"\n\n[ui]\n# UI related settings\n# 是否隐藏日志信息\n# Whether to hide logs in the UI\nhide_log = false\n\n# 字幕位置设置 (Subtitle position settings)\n# 可选值 (Available values): \"top\", \"center\", \"bottom\", \"custom\"\n# subtitle_position = \"custom\"\n# 自定义位置，表示离顶部的百分比 (0-100)，仅当 subtitle_position = \"custom\" 时生效\n# Custom position as percentage from top (0-100), only effective when subtitle_position = \"custom\"\n# custom_position = 70.0\n\n########## Upload-Post (Cross-post to TikTok/Instagram)\n# Upload-Post allows you to automatically cross-post generated videos to TikTok and Instagram.\n# Visit https://upload-post.com to create an account and get your API key.\n# API Documentation: https://docs.upload-post.com\n\n# Enable/disable Upload-Post integration\nupload_post_enabled = false\n\n# Your Upload-Post API key\nupload_post_api_key = \"\"\n\n# Your Upload-Post username\nupload_post_username = \"\"\n\n# Platforms to cross-post to (options: \"tiktok\", \"instagram\")\nupload_post_platforms = [\"tiktok\", \"instagram\"]\n\n# Automatically cross-post videos after generation (if false, you'll need to call the API manually)\nupload_post_auto_upload = false\n"}, "d5e0701e45058bf54115ae7634bcd5cacfbb0a91": {"t": 1785750545.9326403, "n": 10982, "h": "d430da93a3d5ed2b", "c": "[app]\nvideo_source = \"pexels\" # \"pexels\" or \"pixabay\"\n\n# 是否隐藏配置面板\nhide_config = false\n\n# Azure TTS V1(edge_tts) 单次流式请求超时时间，单位秒。\n# 网络异常、服务端限流或 voice 与文本语言不匹配时，edge_tts 可能长期卡住。\n# 默认 30 秒可避免 WebUI 任务无反馈；慢网络或代理环境可适当调大。\n# 设置为 0 表示禁用超时。\nedge_tts_timeout = 30\n\n# 是否校验外部 API 和素材下载的 TLS 证书。\n# 默认必须开启，避免 Pexels/Pixabay API key 和下载素材被中间人攻击篡改。\n# 只有在企业代理或自签证书环境明确需要时，才临时改为 false。\ntls_verify = true\n\n# Pexels API Key\n# Register at https://www.pexels.com/api/ to get your API key.\n# You can use multiple keys to avoid rate limits.\n# For example: pexels_api_keys = [\"123adsf4567adf89\",\"abd1321cd13efgfdfhi\"]\n# 特别注意格式，Key 用英文双引号括起来，多个Key用逗号隔开\npexels_api_keys = []\n\n# Pixabay API Key\n# Register at https://pixabay.com/api/docs/ to get your API key.\n# You can use multiple keys to avoid rate limits.\n# For example: pixabay_api_keys = [\"123adsf4567adf89\",\"abd1321cd13efgfdfhi\"]\n# 特别注意格式，Key 用英文双引号括起来，多个Key用逗号隔开\npixabay_api_keys = []\n\n# 支持的提供商 (Supported providers):\n#   openai\n#   moonshot    (月之暗面)\n#   azure\n#   qwen        (通义千问)\n#   deepseek\n#   gemini\n#   ollama\n#   g4f        (disabled by default; set enable_g4f=true only after accepting its risks)\n#   oneapi\n#   cloudflare\n#   minimax\n#   ernie       (文心一言)\n#   modelscope  (魔搭社区)\n#   litellm     (100+ providers via LiteLLM gateway)\nllm_provider = \"openai\"\n\n########## Pollinations AI Settings\n# Visit https://pollinations.ai/ to learn more\n# API Key is optional - leave empty for public access\npollinations_api_key = \"\"\n# Default base URL for Pollinations API\npollinations_base_url = \"https://pollinations.ai/api/v1\"\n# Default model for text generation\npollinations_model_name = \"openai-fast\"\n\n########## Ollama Settings\n# No need to set it unless you want to use your own proxy\nollama_base_url = \"\"\n# Check your available models at https://ollama.com/library\nollama_model_name = \"\"\n\n########## OpenAI API Key\n# Get your API key at https://platform.openai.com/api-keys\n# 也可以填写兼容 OpenAI Chat Completions 协议的供应商密钥，\n# 例如 OpenRouter 这类提供自定义 base_url 的平台。\nopenai_api_key = \"\"\n# No need to set it unless you want to use your own proxy\n# 如果使用兼容 OpenAI 接口的平台，请在这里填写对应的 base_url。\nopenai_base_url = \"\"\n# Check your available models at https://platform.openai.com/account/limits\n# 如果使用兼容供应商，请填写该平台要求的模型 ID。\nopenai_model_name = \"gpt-4o-mini\"\n\n########## Moonshot API Key\n# Visit https://platform.moonshot.cn/console/api-keys to get your API key.\nmoonshot_api_key = \"\"\nmoonshot_base_url = \"https://api.moonshot.cn/v1\"\nmoonshot_model_name = \"moonshot-v1-8k\"\n\n########## OneAPI API Key\n# Visit https://github.com/songquanpeng/one-api to get your API key\noneapi_api_key = \"\"\noneapi_base_url = \"\"\noneapi_model_name = \"\"\n\n########## G4F\n# g4f relies on reverse-engineered third-party endpoints and is not recommended\n# for production. Prefer official APIs, OpenAI-compatible providers, LiteLLM,\n# Ollama, or local inference.\n# If you still need it, install the optional dependency with:\n#   uv sync --extra g4f\nenable_g4f = false\n# Visit https://github.com/xtekky/gpt4free to get more details\n# Supported model list: https://github.com/xtekky/gpt4free/blob/main/g4f/models.py\ng4f_model_name = \"gpt-3.5-turbo\"\n\n########## Azure API Key\n# Visit https://learn.microsoft.com/zh-cn/azure/ai-services/openai/ to get more details\n# API documentation: https://learn.microsoft.com/zh-cn/azure/ai-services/openai/reference\nazure_api_key = \"\"\nazure_base_url = \"\"\nazure_model_name = \"gpt-35-turbo\"        # replace with your model deployment name\nazure_api_version = \"2024-02-15-preview\"\n\n########## Gemini API Key\ngemini_api_key = \"\"\ngemini_model_name = \"gemini-2.5-flash\"\n\n########## Qwen API Key\n# Visit https://dashscope.console.aliyun.com/apiKey to get your API key\n# Visit below links to get more details\n# https://tongyi.aliyun.com/qianwen/\n# https://help.aliyun.com/zh/dashscope/developer-reference/model-introduction\nqwen_api_key = \"\"\nqwen_model_name = \"qwen-max\"\n\n\n########## MiniMax API Key\n# Visit https://platform.minimax.io to get your API key\n# MiniMax API is OpenAI-compatible\n# Available models: MiniMax-M2.7 (default), MiniMax-M2.7-highspeed\nminimax_api_key = \"\"\nminimax_base_url = \"https://api.minimax.io/v1\"\nminimax_model_name = \"MiniMax-M2.7\"\n\n########## DeepSeek API Key\n# Visit https://platform.deepseek.com/api_keys to get your API key\ndeepseek_api_key = \"\"\ndeepseek_base_url = \"https://api.deepseek.com\"\ndeepseek_model_name = \"deepseek-chat\"\n\n\n########## ModelScope API Key\n# Visit https://modelscope.cn/docs/model-service/API-Inference/intro to get your API key\n# And note that you need to bind your Alibaba Cloud account before using the API.\nmodelscope_api_key = \"\"\nmodelscope_base_url = \"https://api-inference.modelscope.cn/v1/\"\nmodelscope_model_name = \"Qwen/Qwen3-32B\"\n\n########## LiteLLM (AI Gateway — 100+ providers)\n# LiteLLM routes to any LLM provider via a unified interface.\n# Use this for providers not directly supported above: Anthropic (native API),\n# AWS Bedrock, Google Vertex AI, Cohere, Mistral, Together AI, etc.\n# Visit https://docs.litellm.ai/docs/providers for the full list.\n#\n# LiteLLM reads provider API keys from environment variables automatically:\n#   OPENAI_API_KEY, ANTHROPIC_API_KEY, GEMINI_API_KEY, AWS_ACCESS_KEY_ID, etc.\n# Set the appropriate env var for your chosen provider before running.\n#\n# Model name in LiteLLM format: \"provider/model-name\"\n# Examples: \"openai/gpt-4o\", \"anthropic/claude-sonnet-4-20250514\",\n#           \"bedrock/anthropic.claude-3-5-sonnet-20241022-v2:0\",\n#           \"gemini/gemini-2.5-flash\", \"ollama/llama3\"\nlitellm_model_name = \"openai/gpt-4o-mini\"\n\n# Subtitle Provider, \"edge\" or \"whisper\"\n# If empty, the subtitle will not be generated\nsubtitle_provider = \"edge\"\n\n#\n# ImageMagick\n#\n# Once you have installed it, ImageMagick will be automatically detected, except on Windows!\n# On Windows, for example \"C:\\Program Files (x86)\\ImageMagick-7.1.1-Q16-HDRI\\magick.exe\"\n# Download from https://imagemagick.org/archive/binaries/ImageMagick-7.1.1-29-Q16-x64-static.exe\n\n# imagemagick_path = \"C:\\\\Program Files (x86)\\\\ImageMagick-7.1.1-Q16\\\\magick.exe\"\n\n\n#\n# FFMPEG\n#\n# 通常情况下，ffmpeg 会被自动下载，并且会被自动检测到。\n# 但是如果你的环境有问题，无法自动下载，可能会遇到如下错误：\n#   RuntimeError: No ffmpeg exe could be found.\n#   Install ffmpeg on your system, or set the IMAGEIO_FFMPEG_EXE environment variable.\n# 此时你可以手动下载 ffmpeg 并设置 ffmpeg_path，下载地址：https://www.gyan.dev/ffmpeg/builds/\n\n# Under normal circumstances, ffmpeg is downloaded automatically and detected automatically.\n# However, if there is an issue with your environment that prevents automatic downloading, you might encounter the following error:\n#   RuntimeError: No ffmpeg exe could be found.\n#   Install ffmpeg on your system, or set the IMAGEIO_FFMPEG_EXE environment variable.\n# In such cases, you can manually download ffmpeg and set the ffmpeg_path, download link: https://www.gyan.dev/ffmpeg/builds/\n\n# ffmpeg_path = \"C:\\\\Users\\\\harry\\\\Downloads\\\\ffmpeg.exe\"\n#########################################################################################\n\n# 当视频生成成功后，API服务提供的视频下载接入点，默认为当前服务的地址和监听端口\n# 比如 http://127.0.0.1:8080/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n# 如果你需要使用域名对外提供服务（一般会用nginx做代理），则可以设置为你的域名\n# 比如 https://xxxx.com/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n# endpoint=\"https://xxxx.com\"\n\n# When the video is successfully generated, the API service provides a download endpoint for the video, defaulting to the service's current address and listening port.\n# For example, http://127.0.0.1:8080/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n# If you need to provide the service externally using a domain name (usually done with nginx as a proxy), you can set it to your domain name.\n# For example, https://xxxx.com/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n# endpoint=\"https://xxxx.com\"\nendpoint = \"\"\n\n\n# Video material storage location\n# material_directory = \"\"                    # Indicates that video materials will be downloaded to the default folder, the default folder is ./storage/cache_videos under the current project\n# material_directory = \"/user/harry/videos\"  # Indicates that video materials will be downloaded to a specified folder\n# material_directory = \"task\"                # Indicates that video materials will be downloaded to the current task's folder, this method does not allow sharing of already downloaded video materials\n\n# 视频素材存放位置\n# material_directory = \"\"                    #表示将视频素材下载到默认的文件夹，默认文件夹为当前项目下的 ./storage/cache_videos\n# material_directory = \"/user/harry/videos\"  #表示将视频素材下载到指定的文件夹中\n# material_directory = \"task\"                #表示将视频素材下载到当前任务的文件夹中，这种方式无法共享已经下载的视频素材\n\nmaterial_directory = \"\"\n\n# Used for state management of the task\nenable_redis = false\nredis_host = \"localhost\"\nredis_port = 6379\nredis_db = 0\nredis_password = \"\"\n\n# 文生视频时的最大并发任务数\nmax_concurrent_tasks = 5\n\n\n[whisper]\n# Only effective when subtitle_provider is \"whisper\"\n\n# Run on GPU with FP16\n# model = WhisperModel(model_size, device=\"cuda\", compute_type=\"float16\")\n\n# Run on GPU with INT8\n# model = WhisperModel(model_size, device=\"cuda\", compute_type=\"int8_float16\")\n\n# Run on CPU with INT8\n# model = WhisperModel(model_size, device=\"cpu\", compute_type=\"int8\")\n\n# recommended model_size: \"large-v3\"\nmodel_size = \"large-v3\"\n# if you want to use GPU, set device=\"cuda\"\ndevice = \"CPU\"\ncompute_type = \"int8\"\n\n\n[proxy]\n### Use a proxy to access the Pexels API\n### Format: \"http://<username>:<password>@<proxy>:<port>\"\n### Example: \"http://user:pass@proxy:1234\"\n### Doc: https://requests.readthedocs.io/en/latest/user/advanced/#proxies\n\n# http = \"http://10.10.1.10:3128\"\n# https = \"http://10.10.1.10:1080\"\n\n[azure]\n# Azure Speech API Key\n# Get your API key at https://portal.azure.com/#view/Microsoft_Azure_ProjectOxford/CognitiveServicesHub/~/SpeechServices\nspeech_key = \"\"\nspeech_region = \"\"\n\n[siliconflow]\n# SiliconFlow API Key\n# Get your API key at https://siliconflow.cn\napi_key = \"\"\n\n[ui]\n# UI related settings\n# 是否隐藏日志信息\n# Whether to hide logs in the UI\nhide_log = false\n\n# 字幕位置设置 (Subtitle position settings)\n# 可选值 (Available values): \"top\", \"center\", \"bottom\", \"custom\"\n# subtitle_position = \"custom\"\n# 自定义位置，表示离顶部的百分比 (0-100)，仅当 subtitle_position = \"custom\" 时生效\n# Custom position as percentage from top (0-100), only effective when subtitle_position = \"custom\"\n# custom_position = 70.0\n\n########## Upload-Post (Cross-post to TikTok/Instagram)\n# Upload-Post allows you to automatically cross-post generated videos to TikTok and Instagram.\n# Visit https://upload-post.com to create an account and get your API key.\n# API Documentation: https://docs.upload-post.com\n\n# Enable/disable Upload-Post integration\nupload_post_enabled = false\n\n# Your Upload-Post API key\nupload_post_api_key = \"\"\n\n# Your Upload-Post username\nupload_post_username = \"\"\n\n# Platforms to cross-post to (options: \"tiktok\", \"instagram\")\nupload_post_platforms = [\"tiktok\", \"instagram\"]\n\n# Automatically cross-post videos after generation (if false, you'll need to call the API manually)\nupload_post_auto_upload = false\n"}, "0eb267c527e2c46a7485d9f5c7e36401f8e12920": {"t": 1785750547.0802062, "n": 10815, "h": "1b44438af692bc10", "c": "[app]\nvideo_source = \"pexels\" # \"pexels\" or \"pixabay\"\n\n# 是否隐藏配置面板\nhide_config = false\n\n# 是否校验外部 API 和素材下载的 TLS 证书。\n# 默认必须开启，避免 Pexels/Pixabay API key 和下载素材被中间人攻击篡改。\n# 只有在企业代理或自签证书环境明确需要时，才临时改为 false。\ntls_verify = true\n\n# Pexels API Key\n# Register at https://www.pexels.com/api/ to get your API key.\n# You can use multiple keys to avoid rate limits.\n# For example: pexels_api_keys = [\"123adsf4567adf89\",\"abd1321cd13efgfdfhi\"]\n# 特别注意格式，Key 用英文双引号括起来，多个Key用逗号隔开\npexels_api_keys = []\n\n# Pixabay API Key\n# Register at https://pixabay.com/api/docs/ to get your API key.\n# You can use multiple keys to avoid rate limits.\n# For example: pixabay_api_keys = [\"123adsf4567adf89\",\"abd1321cd13efgfdfhi\"]\n# 特别注意格式，Key 用英文双引号括起来，多个Key用逗号隔开\npixabay_api_keys = []\n\n# 支持的提供商 (Supported providers):\n#   openai\n#   moonshot    (月之暗面)\n#   azure\n#   qwen        (通义千问)\n#   deepseek\n#   gemini\n#   ollama\n#   g4f        (disabled by default; set enable_g4f=true only after accepting its risks)\n#   oneapi\n#   cloudflare\n#   minimax\n#   ernie       (文心一言)\n#   modelscope  (魔搭社区)\n#   litellm     (100+ providers via LiteLLM gateway)\nllm_provider = \"openai\"\n\n########## Pollinations AI Settings\n# Visit https://pollinations.ai/ to learn more\n# API Key is optional - leave empty for public access\npollinations_api_key = \"\"\n# Default base URL for Pollinations API\npollinations_base_url = \"https://pollinations.ai/api/v1\"\n# Default model for text generation\npollinations_model_name = \"openai-fast\"\n\n########## Ollama Settings\n# No need to set it unless you want to use your own proxy\nollama_base_url = \"\"\n# Check your available models at https://ollama.com/library\nollama_model_name = \"\"\n\n########## OpenAI API Key\n# Get your API key at https://platform.openai.com/api-keys\n# 也可以填写兼容 OpenAI Chat Completions 协议的供应商密钥，\n# 例如 OpenRouter 这类提供自定义 base_url 的平台。\nopenai_api_key = \"\"\n# No need to set it unless you want to use your own proxy\n# 如果使用兼容 OpenAI 接口的平台，请在这里填写对应的 base_url。\nopenai_base_url = \"\"\n# Check your available models at https://platform.openai.com/account/limits\n# 如果使用兼容供应商，请填写该平台要求的模型 ID。\nopenai_model_name = \"gpt-4o-mini\"\n\n########## Moonshot API Key\n# Visit https://platform.moonshot.cn/console/api-keys to get your API key.\nmoonshot_api_key = \"\"\nmoonshot_base_url = \"https://api.moonshot.cn/v1\"\nmoonshot_model_name = \"moonshot-v1-8k\"\n\n########## OneAPI API Key\n# Visit https://github.com/songquanpeng/one-api to get your API key\noneapi_api_key = \"\"\noneapi_base_url = \"\"\noneapi_model_name = \"\"\n\n########## G4F\n# g4f relies on reverse-engineered third-party endpoints and is not recommended\n# for production. Prefer official APIs, OpenAI-compatible providers, LiteLLM,\n# Ollama, or local inference.\n# If you still need it, install the optional dependency with:\n#   uv sync --extra g4f\nenable_g4f = false\n# Visit https://github.com/xtekky/gpt4free to get more details\n# Supported model list: https://github.com/xtekky/gpt4free/blob/main/g4f/models.py\ng4f_model_name = \"gpt-3.5-turbo\"\n\n########## Azure API Key\n# Visit https://learn.microsoft.com/zh-cn/azure/ai-services/openai/ to get more details\n# API documentation: https://learn.microsoft.com/zh-cn/azure/ai-services/openai/reference\nazure_api_key = \"\"\nazure_base_url = \"\"\nazure_model_name = \"gpt-35-turbo\"        # replace with your model deployment name\nazure_api_version = \"2024-02-15-preview\"\n\n########## Gemini API Key\ngemini_api_key = \"\"\ngemini_model_name = \"gemini-2.5-flash\"\n\n########## Qwen API Key\n# Visit https://dashscope.console.aliyun.com/apiKey to get your API key\n# Visit below links to get more details\n# https://tongyi.aliyun.com/qianwen/\n# https://help.aliyun.com/zh/dashscope/developer-reference/model-introduction\nqwen_api_key = \"\"\nqwen_model_name = \"qwen-max\"\n\n\n########## MiniMax API Key\n# Visit https://platform.minimax.io to get your API key\n# MiniMax API is OpenAI-compatible\n# Available models: MiniMax-M2.7 (default), MiniMax-M2.7-highspeed\nminimax_api_key = \"\"\nminimax_base_url = \"https://api.minimax.io/v1\"\nminimax_model_name = \"MiniMax-M2.7\"\n\n########## DeepSeek API Key\n# Visit https://platform.deepseek.com/api_keys to get your API key\ndeepseek_api_key = \"\"\ndeepseek_base_url = \"https://api.deepseek.com\"\ndeepseek_model_name = \"deepseek-chat\"\n\n\n########## ModelScope API Key\n# Visit https://modelscope.cn/docs/model-service/API-Inference/intro to get your API key\n# And note that you need to bind your Alibaba Cloud account before using the API.\nmodelscope_api_key = \"\"\nmodelscope_base_url = \"https://api-inference.modelscope.cn/v1/\"\nmodelscope_model_name = \"Qwen/Qwen3-32B\"\n\n########## LiteLLM (AI Gateway — 100+ providers)\n# LiteLLM routes to any LLM provider via a unified interface.\n# Use this for providers not directly supported above: Anthropic (native API),\n# AWS Bedrock, Google Vertex AI, Cohere, Mistral, Together AI, etc.\n# Visit https://docs.litellm.ai/docs/providers for the full list.\n#\n# LiteLLM reads provider API keys from environment variables automatically:\n#   OPENAI_API_KEY, ANTHROPIC_API_KEY, GEMINI_API_KEY, AWS_ACCESS_KEY_ID, etc.\n# Set the appropriate env var for your chosen provider before running.\n#\n# Model name in LiteLLM format: \"provider/model-name\"\n# Examples: \"openai/gpt-4o\", \"anthropic/claude-sonnet-4-20250514\",\n#           \"bedrock/anthropic.claude-3-5-sonnet-20241022-v2:0\",\n#           \"gemini/gemini-2.5-flash\", \"ollama/llama3\"\nlitellm_model_name = \"openai/gpt-4o-mini\"\n\n# Subtitle Provider, \"edge\" or \"whisper\"\n# If empty, the subtitle will not be generated\nsubtitle_provider = \"edge\"\n\n#\n# ImageMagick\n#\n# Once you have installed it, ImageMagick will be automatically detected, except on Windows!\n# On Windows, for example \"C:\\Program Files (x86)\\ImageMagick-7.1.1-Q16-HDRI\\magick.exe\"\n# Download from https://imagemagick.org/archive/binaries/ImageMagick-7.1.1-29-Q16-x64-static.exe\n\n# imagemagick_path = \"C:\\\\Program Files (x86)\\\\ImageMagick-7.1.1-Q16\\\\magick.exe\"\n\n\n#\n# FFMPEG\n#\n# 通常情况下，ffmpeg 会被自动下载，并且会被自动检测到。\n# 但是如果你的环境有问题，无法自动下载，可能会遇到如下错误：\n#   RuntimeError: No ffmpeg exe could be found.\n#   Install ffmpeg on your system, or set the IMAGEIO_FFMPEG_EXE environment variable.\n# 此时你可以手动下载 ffmpeg 并设置 ffmpeg_path，下载地址：https://www.gyan.dev/ffmpeg/builds/\n\n# Under normal circumstances, ffmpeg is downloaded automatically and detected automatically.\n# However, if there is an issue with your environment that prevents automatic downloading, you might encounter the following error:\n#   RuntimeError: No ffmpeg exe could be found.\n#   Install ffmpeg on your system, or set the IMAGEIO_FFMPEG_EXE environment variable.\n# In such cases, you can manually download ffmpeg and set the ffmpeg_path, download link: https://www.gyan.dev/ffmpeg/builds/\n\n# ffmpeg_path = \"C:\\\\Users\\\\harry\\\\Downloads\\\\ffmpeg.exe\"\n#########################################################################################\n\n# 当视频生成成功后，API服务提供的视频下载接入点，默认为当前服务的地址和监听端口\n# 比如 http://127.0.0.1:8080/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n# 如果你需要使用域名对外提供服务（一般会用nginx做代理），则可以设置为你的域名\n# 比如 https://xxxx.com/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n# endpoint=\"https://xxxx.com\"\n\n# When the video is successfully generated, the API service provides a download endpoint for the video, defaulting to the service's current address and listening port.\n# For example, http://127.0.0.1:8080/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n# If you need to provide the service externally using a domain name (usually done with nginx as a proxy), you can set it to your domain name.\n# For example, https://xxxx.com/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n# endpoint=\"https://xxxx.com\"\nendpoint = \"\"\n\n\n# Video material storage location\n# material_directory = \"\"                    # Indicates that video materials will be downloaded to the default folder, the default folder is ./storage/cache_videos under the current project\n# material_directory = \"/user/harry/videos\"  # Indicates that video materials will be downloaded to a specified folder\n# material_directory = \"task\"                # Indicates that video materials will be downloaded to the current task's folder, this method does not allow sharing of already downloaded video materials\n\n# 视频素材存放位置\n# material_directory = \"\"                    #表示将视频素材下载到默认的文件夹，默认文件夹为当前项目下的 ./storage/cache_videos\n# material_directory = \"/user/harry/videos\"  #表示将视频素材下载到指定的文件夹中\n# material_directory = \"task\"                #表示将视频素材下载到当前任务的文件夹中，这种方式无法共享已经下载的视频素材\n\nmaterial_directory = \"\"\n\n# Used for state management of the task\nenable_redis = false\nredis_host = \"localhost\"\nredis_port = 6379\nredis_db = 0\nredis_password = \"\"\n\n# 文生视频时的最大并发任务数\nmax_concurrent_tasks = 5\n\n\n[whisper]\n# Only effective when subtitle_provider is \"whisper\"\n\n# Run on GPU with FP16\n# model = WhisperModel(model_size, device=\"cuda\", compute_type=\"float16\")\n\n# Run on GPU with INT8\n# model = WhisperModel(model_size, device=\"cuda\", compute_type=\"int8_float16\")\n\n# Run on CPU with INT8\n# model = WhisperModel(model_size, device=\"cpu\", compute_type=\"int8\")\n\n# recommended model_size: \"large-v3\"\nmodel_size = \"large-v3\"\n# if you want to use GPU, set device=\"cuda\"\ndevice = \"CPU\"\ncompute_type = \"int8\"\n\n\n[proxy]\n### Use a proxy to access the Pexels API\n### Format: \"http://<username>:<password>@<proxy>:<port>\"\n### Example: \"http://user:pass@proxy:1234\"\n### Doc: https://requests.readthedocs.io/en/latest/user/advanced/#proxies\n\n# http = \"http://10.10.1.10:3128\"\n# https = \"http://10.10.1.10:1080\"\n\n[azure]\n# Azure Speech API Key\n# Get your API key at https://portal.azure.com/#view/Microsoft_Azure_ProjectOxford/CognitiveServicesHub/~/SpeechServices\nspeech_key = \"\"\nspeech_region = \"\"\n\n[siliconflow]\n# SiliconFlow API Key\n# Get your API key at https://siliconflow.cn\napi_key = \"\"\n\n[ui]\n# UI related settings\n# 是否隐藏日志信息\n# Whether to hide logs in the UI\nhide_log = false\n\n# 字幕位置设置 (Subtitle position settings)\n# 可选值 (Available values): \"top\", \"center\", \"bottom\", \"custom\"\n# subtitle_position = \"custom\"\n# 自定义位置，表示离顶部的百分比 (0-100)，仅当 subtitle_position = \"custom\" 时生效\n# Custom position as percentage from top (0-100), only effective when subtitle_position = \"custom\"\n# custom_position = 70.0\n\n########## Upload-Post (Cross-post to TikTok/Instagram)\n# Upload-Post allows you to automatically cross-post generated videos to TikTok and Instagram.\n# Visit https://upload-post.com to create an account and get your API key.\n# API Documentation: https://docs.upload-post.com\n\n# Enable/disable Upload-Post integration\nupload_post_enabled = false\n\n# Your Upload-Post API key\nupload_post_api_key = \"\"\n\n# Your Upload-Post username\nupload_post_username = \"\"\n\n# Platforms to cross-post to (options: \"tiktok\", \"instagram\")\nupload_post_platforms = [\"tiktok\", \"instagram\"]\n\n# Automatically cross-post videos after generation (if false, you'll need to call the API manually)\nupload_post_auto_upload = false\n"}, "35fb1d05d2f50c12664c55b6ab29451d5246190b": {"t": 1785750548.1887808, "n": 10309, "h": "7e5e219ef49efa01", "c": "[app]\nvideo_source = \"pexels\" # \"pexels\" or \"pixabay\"\n\n# 是否隐藏配置面板\nhide_config = false\n\n# Pexels API Key\n# Register at https://www.pexels.com/api/ to get your API key.\n# You can use multiple keys to avoid rate limits.\n# For example: pexels_api_keys = [\"123adsf4567adf89\",\"abd1321cd13efgfdfhi\"]\n# 特别注意格式，Key 用英文双引号括起来，多个Key用逗号隔开\npexels_api_keys = []\n\n# Pixabay API Key\n# Register at https://pixabay.com/api/docs/ to get your API key.\n# You can use multiple keys to avoid rate limits.\n# For example: pixabay_api_keys = [\"123adsf4567adf89\",\"abd1321cd13efgfdfhi\"]\n# 特别注意格式，Key 用英文双引号括起来，多个Key用逗号隔开\npixabay_api_keys = []\n\n# 支持的提供商 (Supported providers):\n#   openai\n#   moonshot    (月之暗面)\n#   azure\n#   qwen        (通义千问)\n#   deepseek\n#   gemini\n#   ollama\n#   g4f\n#   oneapi\n#   cloudflare\n#   minimax\n#   ernie       (文心一言)\n#   modelscope  (魔搭社区)\n#   litellm     (100+ providers via LiteLLM gateway)\nllm_provider = \"openai\"\n\n########## Pollinations AI Settings\n# Visit https://pollinations.ai/ to learn more\n# API Key is optional - leave empty for public access\npollinations_api_key = \"\"\n# Default base URL for Pollinations API\npollinations_base_url = \"https://pollinations.ai/api/v1\"\n# Default model for text generation\npollinations_model_name = \"openai-fast\"\n\n########## Ollama Settings\n# No need to set it unless you want to use your own proxy\nollama_base_url = \"\"\n# Check your available models at https://ollama.com/library\nollama_model_name = \"\"\n\n########## OpenAI API Key\n# Get your API key at https://platform.openai.com/api-keys\n# 也可以填写兼容 OpenAI Chat Completions 协议的供应商密钥，\n# 例如 OpenRouter 这类提供自定义 base_url 的平台。\nopenai_api_key = \"\"\n# No need to set it unless you want to use your own proxy\n# 如果使用兼容 OpenAI 接口的平台，请在这里填写对应的 base_url。\nopenai_base_url = \"\"\n# Check your available models at https://platform.openai.com/account/limits\n# 如果使用兼容供应商，请填写该平台要求的模型 ID。\nopenai_model_name = \"gpt-4o-mini\"\n\n########## Moonshot API Key\n# Visit https://platform.moonshot.cn/console/api-keys to get your API key.\nmoonshot_api_key = \"\"\nmoonshot_base_url = \"https://api.moonshot.cn/v1\"\nmoonshot_model_name = \"moonshot-v1-8k\"\n\n########## OneAPI API Key\n# Visit https://github.com/songquanpeng/one-api to get your API key\noneapi_api_key = \"\"\noneapi_base_url = \"\"\noneapi_model_name = \"\"\n\n########## G4F\n# Visit https://github.com/xtekky/gpt4free to get more details\n# Supported model list: https://github.com/xtekky/gpt4free/blob/main/g4f/models.py\ng4f_model_name = \"gpt-3.5-turbo\"\n\n########## Azure API Key\n# Visit https://learn.microsoft.com/zh-cn/azure/ai-services/openai/ to get more details\n# API documentation: https://learn.microsoft.com/zh-cn/azure/ai-services/openai/reference\nazure_api_key = \"\"\nazure_base_url = \"\"\nazure_model_name = \"gpt-35-turbo\"        # replace with your model deployment name\nazure_api_version = \"2024-02-15-preview\"\n\n########## Gemini API Key\ngemini_api_key = \"\"\ngemini_model_name = \"gemini-2.5-flash\"\n\n########## Qwen API Key\n# Visit https://dashscope.console.aliyun.com/apiKey to get your API key\n# Visit below links to get more details\n# https://tongyi.aliyun.com/qianwen/\n# https://help.aliyun.com/zh/dashscope/developer-reference/model-introduction\nqwen_api_key = \"\"\nqwen_model_name = \"qwen-max\"\n\n\n########## MiniMax API Key\n# Visit https://platform.minimax.io to get your API key\n# MiniMax API is OpenAI-compatible\n# Available models: MiniMax-M2.7 (default), MiniMax-M2.7-highspeed\nminimax_api_key = \"\"\nminimax_base_url = \"https://api.minimax.io/v1\"\nminimax_model_name = \"MiniMax-M2.7\"\n\n########## DeepSeek API Key\n# Visit https://platform.deepseek.com/api_keys to get your API key\ndeepseek_api_key = \"\"\ndeepseek_base_url = \"https://api.deepseek.com\"\ndeepseek_model_name = \"deepseek-chat\"\n\n\n########## ModelScope API Key\n# Visit https://modelscope.cn/docs/model-service/API-Inference/intro to get your API key\n# And note that you need to bind your Alibaba Cloud account before using the API.\nmodelscope_api_key = \"\"\nmodelscope_base_url = \"https://api-inference.modelscope.cn/v1/\"\nmodelscope_model_name = \"Qwen/Qwen3-32B\"\n\n########## LiteLLM (AI Gateway — 100+ providers)\n# LiteLLM routes to any LLM provider via a unified interface.\n# Use this for providers not directly supported above: Anthropic (native API),\n# AWS Bedrock, Google Vertex AI, Cohere, Mistral, Together AI, etc.\n# Visit https://docs.litellm.ai/docs/providers for the full list.\n#\n# LiteLLM reads provider API keys from environment variables automatically:\n#   OPENAI_API_KEY, ANTHROPIC_API_KEY, GEMINI_API_KEY, AWS_ACCESS_KEY_ID, etc.\n# Set the appropriate env var for your chosen provider before running.\n#\n# Model name in LiteLLM format: \"provider/model-name\"\n# Examples: \"openai/gpt-4o\", \"anthropic/claude-sonnet-4-20250514\",\n#           \"bedrock/anthropic.claude-3-5-sonnet-20241022-v2:0\",\n#           \"gemini/gemini-2.5-flash\", \"ollama/llama3\"\nlitellm_model_name = \"openai/gpt-4o-mini\"\n\n# Subtitle Provider, \"edge\" or \"whisper\"\n# If empty, the subtitle will not be generated\nsubtitle_provider = \"edge\"\n\n#\n# ImageMagick\n#\n# Once you have installed it, ImageMagick will be automatically detected, except on Windows!\n# On Windows, for example \"C:\\Program Files (x86)\\ImageMagick-7.1.1-Q16-HDRI\\magick.exe\"\n# Download from https://imagemagick.org/archive/binaries/ImageMagick-7.1.1-29-Q16-x64-static.exe\n\n# imagemagick_path = \"C:\\\\Program Files (x86)\\\\ImageMagick-7.1.1-Q16\\\\magick.exe\"\n\n\n#\n# FFMPEG\n#\n# 通常情况下，ffmpeg 会被自动下载，并且会被自动检测到。\n# 但是如果你的环境有问题，无法自动下载，可能会遇到如下错误：\n#   RuntimeError: No ffmpeg exe could be found.\n#   Install ffmpeg on your system, or set the IMAGEIO_FFMPEG_EXE environment variable.\n# 此时你可以手动下载 ffmpeg 并设置 ffmpeg_path，下载地址：https://www.gyan.dev/ffmpeg/builds/\n\n# Under normal circumstances, ffmpeg is downloaded automatically and detected automatically.\n# However, if there is an issue with your environment that prevents automatic downloading, you might encounter the following error:\n#   RuntimeError: No ffmpeg exe could be found.\n#   Install ffmpeg on your system, or set the IMAGEIO_FFMPEG_EXE environment variable.\n# In such cases, you can manually download ffmpeg and set the ffmpeg_path, download link: https://www.gyan.dev/ffmpeg/builds/\n\n# ffmpeg_path = \"C:\\\\Users\\\\harry\\\\Downloads\\\\ffmpeg.exe\"\n#########################################################################################\n\n# 当视频生成成功后，API服务提供的视频下载接入点，默认为当前服务的地址和监听端口\n# 比如 http://127.0.0.1:8080/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n# 如果你需要使用域名对外提供服务（一般会用nginx做代理），则可以设置为你的域名\n# 比如 https://xxxx.com/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n# endpoint=\"https://xxxx.com\"\n\n# When the video is successfully generated, the API service provides a download endpoint for the video, defaulting to the service's current address and listening port.\n# For example, http://127.0.0.1:8080/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n# If you need to provide the service externally using a domain name (usually done with nginx as a proxy), you can set it to your domain name.\n# For example, https://xxxx.com/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n# endpoint=\"https://xxxx.com\"\nendpoint = \"\"\n\n\n# Video material storage location\n# material_directory = \"\"                    # Indicates that video materials will be downloaded to the default folder, the default folder is ./storage/cache_videos under the current project\n# material_directory = \"/user/harry/videos\"  # Indicates that video materials will be downloaded to a specified folder\n# material_directory = \"task\"                # Indicates that video materials will be downloaded to the current task's folder, this method does not allow sharing of already downloaded video materials\n\n# 视频素材存放位置\n# material_directory = \"\"                    #表示将视频素材下载到默认的文件夹，默认文件夹为当前项目下的 ./storage/cache_videos\n# material_directory = \"/user/harry/videos\"  #表示将视频素材下载到指定的文件夹中\n# material_directory = \"task\"                #表示将视频素材下载到当前任务的文件夹中，这种方式无法共享已经下载的视频素材\n\nmaterial_directory = \"\"\n\n# Used for state management of the task\nenable_redis = false\nredis_host = \"localhost\"\nredis_port = 6379\nredis_db = 0\nredis_password = \"\"\n\n# 文生视频时的最大并发任务数\nmax_concurrent_tasks = 5\n\n\n[whisper]\n# Only effective when subtitle_provider is \"whisper\"\n\n# Run on GPU with FP16\n# model = WhisperModel(model_size, device=\"cuda\", compute_type=\"float16\")\n\n# Run on GPU with INT8\n# model = WhisperModel(model_size, device=\"cuda\", compute_type=\"int8_float16\")\n\n# Run on CPU with INT8\n# model = WhisperModel(model_size, device=\"cpu\", compute_type=\"int8\")\n\n# recommended model_size: \"large-v3\"\nmodel_size = \"large-v3\"\n# if you want to use GPU, set device=\"cuda\"\ndevice = \"CPU\"\ncompute_type = \"int8\"\n\n\n[proxy]\n### Use a proxy to access the Pexels API\n### Format: \"http://<username>:<password>@<proxy>:<port>\"\n### Example: \"http://user:pass@proxy:1234\"\n### Doc: https://requests.readthedocs.io/en/latest/user/advanced/#proxies\n\n# http = \"http://10.10.1.10:3128\"\n# https = \"http://10.10.1.10:1080\"\n\n[azure]\n# Azure Speech API Key\n# Get your API key at https://portal.azure.com/#view/Microsoft_Azure_ProjectOxford/CognitiveServicesHub/~/SpeechServices\nspeech_key = \"\"\nspeech_region = \"\"\n\n[siliconflow]\n# SiliconFlow API Key\n# Get your API key at https://siliconflow.cn\napi_key = \"\"\n\n[ui]\n# UI related settings\n# 是否隐藏日志信息\n# Whether to hide logs in the UI\nhide_log = false\n\n# 字幕位置设置 (Subtitle position settings)\n# 可选值 (Available values): \"top\", \"center\", \"bottom\", \"custom\"\n# subtitle_position = \"custom\"\n# 自定义位置，表示离顶部的百分比 (0-100)，仅当 subtitle_position = \"custom\" 时生效\n# Custom position as percentage from top (0-100), only effective when subtitle_position = \"custom\"\n# custom_position = 70.0\n\n########## Upload-Post (Cross-post to TikTok/Instagram)\n# Upload-Post allows you to automatically cross-post generated videos to TikTok and Instagram.\n# Visit https://upload-post.com to create an account and get your API key.\n# API Documentation: https://docs.upload-post.com\n\n# Enable/disable Upload-Post integration\nupload_post_enabled = false\n\n# Your Upload-Post API key\nupload_post_api_key = \"\"\n\n# Your Upload-Post username\nupload_post_username = \"\"\n\n# Platforms to cross-post to (options: \"tiktok\", \"instagram\")\nupload_post_platforms = [\"tiktok\", \"instagram\"]\n\n# Automatically cross-post videos after generation (if false, you'll need to call the API manually)\nupload_post_auto_upload = false\n"}, "520a127157ec44b25a861cb3af3cee343c5ec2b0": {"t": 1785750549.804546, "n": 9418, "h": "3e96371a988b044b", "c": "[app]\nvideo_source = \"pexels\" # \"pexels\" or \"pixabay\"\n\n# 是否隐藏配置面板\nhide_config = false\n\n# Pexels API Key\n# Register at https://www.pexels.com/api/ to get your API key.\n# You can use multiple keys to avoid rate limits.\n# For example: pexels_api_keys = [\"123adsf4567adf89\",\"abd1321cd13efgfdfhi\"]\n# 特别注意格式，Key 用英文双引号括起来，多个Key用逗号隔开\npexels_api_keys = []\n\n# Pixabay API Key\n# Register at https://pixabay.com/api/docs/ to get your API key.\n# You can use multiple keys to avoid rate limits.\n# For example: pixabay_api_keys = [\"123adsf4567adf89\",\"abd1321cd13efgfdfhi\"]\n# 特别注意格式，Key 用英文双引号括起来，多个Key用逗号隔开\npixabay_api_keys = []\n\n# 支持的提供商 (Supported providers):\n#   openai\n#   moonshot    (月之暗面)\n#   azure\n#   qwen        (通义千问)\n#   deepseek\n#   gemini\n#   ollama\n#   g4f\n#   oneapi\n#   cloudflare\n#   minimax\n#   ernie       (文心一言)\n#   modelscope  (魔搭社区)\nllm_provider = \"openai\"\n\n########## Pollinations AI Settings\n# Visit https://pollinations.ai/ to learn more\n# API Key is optional - leave empty for public access\npollinations_api_key = \"\"\n# Default base URL for Pollinations API\npollinations_base_url = \"https://pollinations.ai/api/v1\"\n# Default model for text generation\npollinations_model_name = \"openai-fast\"\n\n########## Ollama Settings\n# No need to set it unless you want to use your own proxy\nollama_base_url = \"\"\n# Check your available models at https://ollama.com/library\nollama_model_name = \"\"\n\n########## OpenAI API Key\n# Get your API key at https://platform.openai.com/api-keys\n# 也可以填写兼容 OpenAI Chat Completions 协议的供应商密钥，\n# 例如 OpenRouter 这类提供自定义 base_url 的平台。\nopenai_api_key = \"\"\n# No need to set it unless you want to use your own proxy\n# 如果使用兼容 OpenAI 接口的平台，请在这里填写对应的 base_url。\nopenai_base_url = \"\"\n# Check your available models at https://platform.openai.com/account/limits\n# 如果使用兼容供应商，请填写该平台要求的模型 ID。\nopenai_model_name = \"gpt-4o-mini\"\n\n########## Moonshot API Key\n# Visit https://platform.moonshot.cn/console/api-keys to get your API key.\nmoonshot_api_key = \"\"\nmoonshot_base_url = \"https://api.moonshot.cn/v1\"\nmoonshot_model_name = \"moonshot-v1-8k\"\n\n########## OneAPI API Key\n# Visit https://github.com/songquanpeng/one-api to get your API key\noneapi_api_key = \"\"\noneapi_base_url = \"\"\noneapi_model_name = \"\"\n\n########## G4F\n# Visit https://github.com/xtekky/gpt4free to get more details\n# Supported model list: https://github.com/xtekky/gpt4free/blob/main/g4f/models.py\ng4f_model_name = \"gpt-3.5-turbo\"\n\n########## Azure API Key\n# Visit https://learn.microsoft.com/zh-cn/azure/ai-services/openai/ to get more details\n# API documentation: https://learn.microsoft.com/zh-cn/azure/ai-services/openai/reference\nazure_api_key = \"\"\nazure_base_url = \"\"\nazure_model_name = \"gpt-35-turbo\"        # replace with your model deployment name\nazure_api_version = \"2024-02-15-preview\"\n\n########## Gemini API Key\ngemini_api_key = \"\"\ngemini_model_name = \"gemini-2.5-flash\"\n\n########## Qwen API Key\n# Visit https://dashscope.console.aliyun.com/apiKey to get your API key\n# Visit below links to get more details\n# https://tongyi.aliyun.com/qianwen/\n# https://help.aliyun.com/zh/dashscope/developer-reference/model-introduction\nqwen_api_key = \"\"\nqwen_model_name = \"qwen-max\"\n\n\n########## MiniMax API Key\n# Visit https://platform.minimax.io to get your API key\n# MiniMax API is OpenAI-compatible\n# Available models: MiniMax-M2.7 (default), MiniMax-M2.7-highspeed\nminimax_api_key = \"\"\nminimax_base_url = \"https://api.minimax.io/v1\"\nminimax_model_name = \"MiniMax-M2.7\"\n\n########## DeepSeek API Key\n# Visit https://platform.deepseek.com/api_keys to get your API key\ndeepseek_api_key = \"\"\ndeepseek_base_url = \"https://api.deepseek.com\"\ndeepseek_model_name = \"deepseek-chat\"\n\n\n########## ModelScope API Key\n# Visit https://modelscope.cn/docs/model-service/API-Inference/intro to get your API key\n# And note that you need to bind your Alibaba Cloud account before using the API.\nmodelscope_api_key = \"\"\nmodelscope_base_url = \"https://api-inference.modelscope.cn/v1/\"\nmodelscope_model_name = \"Qwen/Qwen3-32B\"\n\n# Subtitle Provider, \"edge\" or \"whisper\"\n# If empty, the subtitle will not be generated\nsubtitle_provider = \"edge\"\n\n#\n# ImageMagick\n#\n# Once you have installed it, ImageMagick will be automatically detected, except on Windows!\n# On Windows, for example \"C:\\Program Files (x86)\\ImageMagick-7.1.1-Q16-HDRI\\magick.exe\"\n# Download from https://imagemagick.org/archive/binaries/ImageMagick-7.1.1-29-Q16-x64-static.exe\n\n# imagemagick_path = \"C:\\\\Program Files (x86)\\\\ImageMagick-7.1.1-Q16\\\\magick.exe\"\n\n\n#\n# FFMPEG\n#\n# 通常情况下，ffmpeg 会被自动下载，并且会被自动检测到。\n# 但是如果你的环境有问题，无法自动下载，可能会遇到如下错误：\n#   RuntimeError: No ffmpeg exe could be found.\n#   Install ffmpeg on your system, or set the IMAGEIO_FFMPEG_EXE environment variable.\n# 此时你可以手动下载 ffmpeg 并设置 ffmpeg_path，下载地址：https://www.gyan.dev/ffmpeg/builds/\n\n# Under normal circumstances, ffmpeg is downloaded automatically and detected automatically.\n# However, if there is an issue with your environment that prevents automatic downloading, you might encounter the following error:\n#   RuntimeError: No ffmpeg exe could be found.\n#   Install ffmpeg on your system, or set the IMAGEIO_FFMPEG_EXE environment variable.\n# In such cases, you can manually download ffmpeg and set the ffmpeg_path, download link: https://www.gyan.dev/ffmpeg/builds/\n\n# ffmpeg_path = \"C:\\\\Users\\\\harry\\\\Downloads\\\\ffmpeg.exe\"\n#########################################################################################\n\n# 当视频生成成功后，API服务提供的视频下载接入点，默认为当前服务的地址和监听端口\n# 比如 http://127.0.0.1:8080/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n# 如果你需要使用域名对外提供服务（一般会用nginx做代理），则可以设置为你的域名\n# 比如 https://xxxx.com/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n# endpoint=\"https://xxxx.com\"\n\n# When the video is successfully generated, the API service provides a download endpoint for the video, defaulting to the service's current address and listening port.\n# For example, http://127.0.0.1:8080/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n# If you need to provide the service externally using a domain name (usually done with nginx as a proxy), you can set it to your domain name.\n# For example, https://xxxx.com/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n# endpoint=\"https://xxxx.com\"\nendpoint = \"\"\n\n\n# Video material storage location\n# material_directory = \"\"                    # Indicates that video materials will be downloaded to the default folder, the default folder is ./storage/cache_videos under the current project\n# material_directory = \"/user/harry/videos\"  # Indicates that video materials will be downloaded to a specified folder\n# material_directory = \"task\"                # Indicates that video materials will be downloaded to the current task's folder, this method does not allow sharing of already downloaded video materials\n\n# 视频素材存放位置\n# material_directory = \"\"                    #表示将视频素材下载到默认的文件夹，默认文件夹为当前项目下的 ./storage/cache_videos\n# material_directory = \"/user/harry/videos\"  #表示将视频素材下载到指定的文件夹中\n# material_directory = \"task\"                #表示将视频素材下载到当前任务的文件夹中，这种方式无法共享已经下载的视频素材\n\nmaterial_directory = \"\"\n\n# Used for state management of the task\nenable_redis = false\nredis_host = \"localhost\"\nredis_port = 6379\nredis_db = 0\nredis_password = \"\"\n\n# 文生视频时的最大并发任务数\nmax_concurrent_tasks = 5\n\n\n[whisper]\n# Only effective when subtitle_provider is \"whisper\"\n\n# Run on GPU with FP16\n# model = WhisperModel(model_size, device=\"cuda\", compute_type=\"float16\")\n\n# Run on GPU with INT8\n# model = WhisperModel(model_size, device=\"cuda\", compute_type=\"int8_float16\")\n\n# Run on CPU with INT8\n# model = WhisperModel(model_size, device=\"cpu\", compute_type=\"int8\")\n\n# recommended model_size: \"large-v3\"\nmodel_size = \"large-v3\"\n# if you want to use GPU, set device=\"cuda\"\ndevice = \"CPU\"\ncompute_type = \"int8\"\n\n\n[proxy]\n### Use a proxy to access the Pexels API\n### Format: \"http://<username>:<password>@<proxy>:<port>\"\n### Example: \"http://user:pass@proxy:1234\"\n### Doc: https://requests.readthedocs.io/en/latest/user/advanced/#proxies\n\n# http = \"http://10.10.1.10:3128\"\n# https = \"http://10.10.1.10:1080\"\n\n[azure]\n# Azure Speech API Key\n# Get your API key at https://portal.azure.com/#view/Microsoft_Azure_ProjectOxford/CognitiveServicesHub/~/SpeechServices\nspeech_key = \"\"\nspeech_region = \"\"\n\n[siliconflow]\n# SiliconFlow API Key\n# Get your API key at https://siliconflow.cn\napi_key = \"\"\n\n[ui]\n# UI related settings\n# 是否隐藏日志信息\n# Whether to hide logs in the UI\nhide_log = false\n\n# 字幕位置设置 (Subtitle position settings)\n# 可选值 (Available values): \"top\", \"center\", \"bottom\", \"custom\"\n# subtitle_position = \"custom\"\n# 自定义位置，表示离顶部的百分比 (0-100)，仅当 subtitle_position = \"custom\" 时生效\n# Custom position as percentage from top (0-100), only effective when subtitle_position = \"custom\"\n# custom_position = 70.0\n\n########## Upload-Post (Cross-post to TikTok/Instagram)\n# Upload-Post allows you to automatically cross-post generated videos to TikTok and Instagram.\n# Visit https://upload-post.com to create an account and get your API key.\n# API Documentation: https://docs.upload-post.com\n\n# Enable/disable Upload-Post integration\nupload_post_enabled = false\n\n# Your Upload-Post API key\nupload_post_api_key = \"\"\n\n# Your Upload-Post username\nupload_post_username = \"\"\n\n# Platforms to cross-post to (options: \"tiktok\", \"instagram\")\nupload_post_platforms = [\"tiktok\", \"instagram\"]\n\n# Automatically cross-post videos after generation (if false, you'll need to call the API manually)\nupload_post_auto_upload = false\n"}, "6bfbc282ae6a9dc59608d6a46ccd8846f257090c": {"t": 1785750551.2042787, "n": 9266, "h": "f1f290ff9ae6f95f", "c": "[app]\nvideo_source = \"pexels\" # \"pexels\" or \"pixabay\"\n\n# 是否隐藏配置面板\nhide_config = false\n\n# Pexels API Key\n# Register at https://www.pexels.com/api/ to get your API key.\n# You can use multiple keys to avoid rate limits.\n# For example: pexels_api_keys = [\"123adsf4567adf89\",\"abd1321cd13efgfdfhi\"]\n# 特别注意格式，Key 用英文双引号括起来，多个Key用逗号隔开\npexels_api_keys = []\n\n# Pixabay API Key\n# Register at https://pixabay.com/api/docs/ to get your API key.\n# You can use multiple keys to avoid rate limits.\n# For example: pixabay_api_keys = [\"123adsf4567adf89\",\"abd1321cd13efgfdfhi\"]\n# 特别注意格式，Key 用英文双引号括起来，多个Key用逗号隔开\npixabay_api_keys = []\n\n# 支持的提供商 (Supported providers):\n#   openai\n#   moonshot    (月之暗面)\n#   azure\n#   qwen        (通义千问)\n#   deepseek\n#   gemini\n#   ollama\n#   g4f\n#   oneapi\n#   cloudflare\n#   minimax\n#   ernie       (文心一言)\n#   modelscope  (魔搭社区)\nllm_provider = \"openai\"\n\n########## Pollinations AI Settings\n# Visit https://pollinations.ai/ to learn more\n# API Key is optional - leave empty for public access\npollinations_api_key = \"\"\n# Default base URL for Pollinations API\npollinations_base_url = \"https://pollinations.ai/api/v1\"\n# Default model for text generation\npollinations_model_name = \"openai-fast\"\n\n########## Ollama Settings\n# No need to set it unless you want to use your own proxy\nollama_base_url = \"\"\n# Check your available models at https://ollama.com/library\nollama_model_name = \"\"\n\n########## OpenAI API Key\n# Get your API key at https://platform.openai.com/api-keys\nopenai_api_key = \"\"\n# No need to set it unless you want to use your own proxy\nopenai_base_url = \"\"\n# Check your available models at https://platform.openai.com/account/limits\nopenai_model_name = \"gpt-4o-mini\"\n\n########## Moonshot API Key\n# Visit https://platform.moonshot.cn/console/api-keys to get your API key.\nmoonshot_api_key = \"\"\nmoonshot_base_url = \"https://api.moonshot.cn/v1\"\nmoonshot_model_name = \"moonshot-v1-8k\"\n\n########## OneAPI API Key\n# Visit https://github.com/songquanpeng/one-api to get your API key\noneapi_api_key = \"\"\noneapi_base_url = \"\"\noneapi_model_name = \"\"\n\n########## G4F\n# Visit https://github.com/xtekky/gpt4free to get more details\n# Supported model list: https://github.com/xtekky/gpt4free/blob/main/g4f/models.py\ng4f_model_name = \"gpt-3.5-turbo\"\n\n########## Azure API Key\n# Visit https://learn.microsoft.com/zh-cn/azure/ai-services/openai/ to get more details\n# API documentation: https://learn.microsoft.com/zh-cn/azure/ai-services/openai/reference\nazure_api_key = \"\"\nazure_base_url = \"\"\nazure_model_name = \"gpt-35-turbo\"        # replace with your model deployment name\nazure_api_version = \"2024-02-15-preview\"\n\n########## Gemini API Key\ngemini_api_key = \"\"\ngemini_model_name = \"gemini-2.5-flash\"\n\n########## Qwen API Key\n# Visit https://dashscope.console.aliyun.com/apiKey to get your API key\n# Visit below links to get more details\n# https://tongyi.aliyun.com/qianwen/\n# https://help.aliyun.com/zh/dashscope/developer-reference/model-introduction\nqwen_api_key = \"\"\nqwen_model_name = \"qwen-max\"\n\n\n########## MiniMax API Key\n# Visit https://platform.minimax.io to get your API key\n# MiniMax API is OpenAI-compatible\n# Available models: MiniMax-M2.7 (default), MiniMax-M2.7-highspeed\nminimax_api_key = \"\"\nminimax_base_url = \"https://api.minimax.io/v1\"\nminimax_model_name = \"MiniMax-M2.7\"\n\n########## DeepSeek API Key\n# Visit https://platform.deepseek.com/api_keys to get your API key\ndeepseek_api_key = \"\"\ndeepseek_base_url = \"https://api.deepseek.com\"\ndeepseek_model_name = \"deepseek-chat\"\n\n\n########## ModelScope API Key\n# Visit https://modelscope.cn/docs/model-service/API-Inference/intro to get your API key\n# And note that you need to bind your Alibaba Cloud account before using the API.\nmodelscope_api_key = \"\"\nmodelscope_base_url = \"https://api-inference.modelscope.cn/v1/\"\nmodelscope_model_name = \"Qwen/Qwen3-32B\"\n\n# Subtitle Provider, \"edge\" or \"whisper\"\n# If empty, the subtitle will not be generated\nsubtitle_provider = \"edge\"\n\n#\n# ImageMagick\n#\n# Once you have installed it, ImageMagick will be automatically detected, except on Windows!\n# On Windows, for example \"C:\\Program Files (x86)\\ImageMagick-7.1.1-Q16-HDRI\\magick.exe\"\n# Download from https://imagemagick.org/archive/binaries/ImageMagick-7.1.1-29-Q16-x64-static.exe\n\n# imagemagick_path = \"C:\\\\Program Files (x86)\\\\ImageMagick-7.1.1-Q16\\\\magick.exe\"\n\n\n#\n# FFMPEG\n#\n# 通常情况下，ffmpeg 会被自动下载，并且会被自动检测到。\n# 但是如果你的环境有问题，无法自动下载，可能会遇到如下错误：\n#   RuntimeError: No ffmpeg exe could be found.\n#   Install ffmpeg on your system, or set the IMAGEIO_FFMPEG_EXE environment variable.\n# 此时你可以手动下载 ffmpeg 并设置 ffmpeg_path，下载地址：https://www.gyan.dev/ffmpeg/builds/\n\n# Under normal circumstances, ffmpeg is downloaded automatically and detected automatically.\n# However, if there is an issue with your environment that prevents automatic downloading, you might encounter the following error:\n#   RuntimeError: No ffmpeg exe could be found.\n#   Install ffmpeg on your system, or set the IMAGEIO_FFMPEG_EXE environment variable.\n# In such cases, you can manually download ffmpeg and set the ffmpeg_path, download link: https://www.gyan.dev/ffmpeg/builds/\n\n# ffmpeg_path = \"C:\\\\Users\\\\harry\\\\Downloads\\\\ffmpeg.exe\"\n#########################################################################################\n\n# 当视频生成成功后，API服务提供的视频下载接入点，默认为当前服务的地址和监听端口\n# 比如 http://127.0.0.1:8080/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n# 如果你需要使用域名对外提供服务（一般会用nginx做代理），则可以设置为你的域名\n# 比如 https://xxxx.com/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n# endpoint=\"https://xxxx.com\"\n\n# When the video is successfully generated, the API service provides a download endpoint for the video, defaulting to the service's current address and listening port.\n# For example, http://127.0.0.1:8080/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n# If you need to provide the service externally using a domain name (usually done with nginx as a proxy), you can set it to your domain name.\n# For example, https://xxxx.com/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n# endpoint=\"https://xxxx.com\"\nendpoint = \"\"\n\n\n# Video material storage location\n# material_directory = \"\"                    # Indicates that video materials will be downloaded to the default folder, the default folder is ./storage/cache_videos under the current project\n# material_directory = \"/user/harry/videos\"  # Indicates that video materials will be downloaded to a specified folder\n# material_directory = \"task\"                # Indicates that video materials will be downloaded to the current task's folder, this method does not allow sharing of already downloaded video materials\n\n# 视频素材存放位置\n# material_directory = \"\"                    #表示将视频素材下载到默认的文件夹，默认文件夹为当前项目下的 ./storage/cache_videos\n# material_directory = \"/user/harry/videos\"  #表示将视频素材下载到指定的文件夹中\n# material_directory = \"task\"                #表示将视频素材下载到当前任务的文件夹中，这种方式无法共享已经下载的视频素材\n\nmaterial_directory = \"\"\n\n# Used for state management of the task\nenable_redis = false\nredis_host = \"localhost\"\nredis_port = 6379\nredis_db = 0\nredis_password = \"\"\n\n# 文生视频时的最大并发任务数\nmax_concurrent_tasks = 5\n\n\n[whisper]\n# Only effective when subtitle_provider is \"whisper\"\n\n# Run on GPU with FP16\n# model = WhisperModel(model_size, device=\"cuda\", compute_type=\"float16\")\n\n# Run on GPU with INT8\n# model = WhisperModel(model_size, device=\"cuda\", compute_type=\"int8_float16\")\n\n# Run on CPU with INT8\n# model = WhisperModel(model_size, device=\"cpu\", compute_type=\"int8\")\n\n# recommended model_size: \"large-v3\"\nmodel_size = \"large-v3\"\n# if you want to use GPU, set device=\"cuda\"\ndevice = \"CPU\"\ncompute_type = \"int8\"\n\n\n[proxy]\n### Use a proxy to access the Pexels API\n### Format: \"http://<username>:<password>@<proxy>:<port>\"\n### Example: \"http://user:pass@proxy:1234\"\n### Doc: https://requests.readthedocs.io/en/latest/user/advanced/#proxies\n\n# http = \"http://10.10.1.10:3128\"\n# https = \"http://10.10.1.10:1080\"\n\n[azure]\n# Azure Speech API Key\n# Get your API key at https://portal.azure.com/#view/Microsoft_Azure_ProjectOxford/CognitiveServicesHub/~/SpeechServices\nspeech_key = \"\"\nspeech_region = \"\"\n\n[siliconflow]\n# SiliconFlow API Key\n# Get your API key at https://siliconflow.cn\napi_key = \"\"\n\n[ui]\n# UI related settings\n# 是否隐藏日志信息\n# Whether to hide logs in the UI\nhide_log = false\n\n# 字幕位置设置 (Subtitle position settings)\n# 可选值 (Available values): \"top\", \"center\", \"bottom\", \"custom\"\n# subtitle_position = \"custom\"\n# 自定义位置，表示离顶部的百分比 (0-100)，仅当 subtitle_position = \"custom\" 时生效\n# Custom position as percentage from top (0-100), only effective when subtitle_position = \"custom\"\n# custom_position = 70.0\n\n########## Upload-Post (Cross-post to TikTok/Instagram)\n# Upload-Post allows you to automatically cross-post generated videos to TikTok and Instagram.\n# Visit https://upload-post.com to create an account and get your API key.\n# API Documentation: https://docs.upload-post.com\n\n# Enable/disable Upload-Post integration\nupload_post_enabled = false\n\n# Your Upload-Post API key\nupload_post_api_key = \"\"\n\n# Your Upload-Post username\nupload_post_username = \"\"\n\n# Platforms to cross-post to (options: \"tiktok\", \"instagram\")\nupload_post_platforms = [\"tiktok\", \"instagram\"]\n\n# Automatically cross-post videos after generation (if false, you'll need to call the API manually)\nupload_post_auto_upload = false\n"}, "cf788ef5ff4371c32f132a39f75d5866ee8e327b": {"t": 1785750552.8191311, "n": 9264, "h": "4b7171852af8bef8", "c": "[app]\nvideo_source = \"pexels\" # \"pexels\" or \"pixabay\"\n\n# 是否隐藏配置面板\nhide_config = false\n\n# Pexels API Key\n# Register at https://www.pexels.com/api/ to get your API key.\n# You can use multiple keys to avoid rate limits.\n# For example: pexels_api_keys = [\"123adsf4567adf89\",\"abd1321cd13efgfdfhi\"]\n# 特别注意格式，Key 用英文双引号括起来，多个Key用逗号隔开\npexels_api_keys = []\n\n# Pixabay API Key\n# Register at https://pixabay.com/api/docs/ to get your API key.\n# You can use multiple keys to avoid rate limits.\n# For example: pixabay_api_keys = [\"123adsf4567adf89\",\"abd1321cd13efgfdfhi\"]\n# 特别注意格式，Key 用英文双引号括起来，多个Key用逗号隔开\npixabay_api_keys = []\n\n# 支持的提供商 (Supported providers):\n#   openai\n#   moonshot    (月之暗面)\n#   azure\n#   qwen        (通义千问)\n#   deepseek\n#   gemini\n#   ollama\n#   g4f\n#   oneapi\n#   cloudflare\n#   minimax\n#   ernie       (文心一言)\n#   modelscope  (魔搭社区)\nllm_provider = \"openai\"\n\n########## Pollinations AI Settings\n# Visit https://pollinations.ai/ to learn more\n# API Key is optional - leave empty for public access\npollinations_api_key = \"\"\n# Default base URL for Pollinations API\npollinations_base_url = \"https://pollinations.ai/api/v1\"\n# Default model for text generation\npollinations_model_name = \"openai-fast\"\n\n########## Ollama Settings\n# No need to set it unless you want to use your own proxy\nollama_base_url = \"\"\n# Check your available models at https://ollama.com/library\nollama_model_name = \"\"\n\n########## OpenAI API Key\n# Get your API key at https://platform.openai.com/api-keys\nopenai_api_key = \"\"\n# No need to set it unless you want to use your own proxy\nopenai_base_url = \"\"\n# Check your available models at https://platform.openai.com/account/limits\nopenai_model_name = \"gpt-4o-mini\"\n\n########## Moonshot API Key\n# Visit https://platform.moonshot.cn/console/api-keys to get your API key.\nmoonshot_api_key = \"\"\nmoonshot_base_url = \"https://api.moonshot.cn/v1\"\nmoonshot_model_name = \"moonshot-v1-8k\"\n\n########## OneAPI API Key\n# Visit https://github.com/songquanpeng/one-api to get your API key\noneapi_api_key = \"\"\noneapi_base_url = \"\"\noneapi_model_name = \"\"\n\n########## G4F\n# Visit https://github.com/xtekky/gpt4free to get more details\n# Supported model list: https://github.com/xtekky/gpt4free/blob/main/g4f/models.py\ng4f_model_name = \"gpt-3.5-turbo\"\n\n########## Azure API Key\n# Visit https://learn.microsoft.com/zh-cn/azure/ai-services/openai/ to get more details\n# API documentation: https://learn.microsoft.com/zh-cn/azure/ai-services/openai/reference\nazure_api_key = \"\"\nazure_base_url = \"\"\nazure_model_name = \"gpt-35-turbo\"        # replace with your model deployment name\nazure_api_version = \"2024-02-15-preview\"\n\n########## Gemini API Key\ngemini_api_key = \"\"\ngemini_model_name = \"gemini-1.0-pro\"\n\n########## Qwen API Key\n# Visit https://dashscope.console.aliyun.com/apiKey to get your API key\n# Visit below links to get more details\n# https://tongyi.aliyun.com/qianwen/\n# https://help.aliyun.com/zh/dashscope/developer-reference/model-introduction\nqwen_api_key = \"\"\nqwen_model_name = \"qwen-max\"\n\n\n########## MiniMax API Key\n# Visit https://platform.minimax.io to get your API key\n# MiniMax API is OpenAI-compatible\n# Available models: MiniMax-M2.7 (default), MiniMax-M2.7-highspeed\nminimax_api_key = \"\"\nminimax_base_url = \"https://api.minimax.io/v1\"\nminimax_model_name = \"MiniMax-M2.7\"\n\n########## DeepSeek API Key\n# Visit https://platform.deepseek.com/api_keys to get your API key\ndeepseek_api_key = \"\"\ndeepseek_base_url = \"https://api.deepseek.com\"\ndeepseek_model_name = \"deepseek-chat\"\n\n\n########## ModelScope API Key\n# Visit https://modelscope.cn/docs/model-service/API-Inference/intro to get your API key\n# And note that you need to bind your Alibaba Cloud account before using the API.\nmodelscope_api_key = \"\"\nmodelscope_base_url = \"https://api-inference.modelscope.cn/v1/\"\nmodelscope_model_name = \"Qwen/Qwen3-32B\"\n\n# Subtitle Provider, \"edge\" or \"whisper\"\n# If empty, the subtitle will not be generated\nsubtitle_provider = \"edge\"\n\n#\n# ImageMagick\n#\n# Once you have installed it, ImageMagick will be automatically detected, except on Windows!\n# On Windows, for example \"C:\\Program Files (x86)\\ImageMagick-7.1.1-Q16-HDRI\\magick.exe\"\n# Download from https://imagemagick.org/archive/binaries/ImageMagick-7.1.1-29-Q16-x64-static.exe\n\n# imagemagick_path = \"C:\\\\Program Files (x86)\\\\ImageMagick-7.1.1-Q16\\\\magick.exe\"\n\n\n#\n# FFMPEG\n#\n# 通常情况下，ffmpeg 会被自动下载，并且会被自动检测到。\n# 但是如果你的环境有问题，无法自动下载，可能会遇到如下错误：\n#   RuntimeError: No ffmpeg exe could be found.\n#   Install ffmpeg on your system, or set the IMAGEIO_FFMPEG_EXE environment variable.\n# 此时你可以手动下载 ffmpeg 并设置 ffmpeg_path，下载地址：https://www.gyan.dev/ffmpeg/builds/\n\n# Under normal circumstances, ffmpeg is downloaded automatically and detected automatically.\n# However, if there is an issue with your environment that prevents automatic downloading, you might encounter the following error:\n#   RuntimeError: No ffmpeg exe could be found.\n#   Install ffmpeg on your system, or set the IMAGEIO_FFMPEG_EXE environment variable.\n# In such cases, you can manually download ffmpeg and set the ffmpeg_path, download link: https://www.gyan.dev/ffmpeg/builds/\n\n# ffmpeg_path = \"C:\\\\Users\\\\harry\\\\Downloads\\\\ffmpeg.exe\"\n#########################################################################################\n\n# 当视频生成成功后，API服务提供的视频下载接入点，默认为当前服务的地址和监听端口\n# 比如 http://127.0.0.1:8080/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n# 如果你需要使用域名对外提供服务（一般会用nginx做代理），则可以设置为你的域名\n# 比如 https://xxxx.com/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n# endpoint=\"https://xxxx.com\"\n\n# When the video is successfully generated, the API service provides a download endpoint for the video, defaulting to the service's current address and listening port.\n# For example, http://127.0.0.1:8080/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n# If you need to provide the service externally using a domain name (usually done with nginx as a proxy), you can set it to your domain name.\n# For example, https://xxxx.com/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n# endpoint=\"https://xxxx.com\"\nendpoint = \"\"\n\n\n# Video material storage location\n# material_directory = \"\"                    # Indicates that video materials will be downloaded to the default folder, the default folder is ./storage/cache_videos under the current project\n# material_directory = \"/user/harry/videos\"  # Indicates that video materials will be downloaded to a specified folder\n# material_directory = \"task\"                # Indicates that video materials will be downloaded to the current task's folder, this method does not allow sharing of already downloaded video materials\n\n# 视频素材存放位置\n# material_directory = \"\"                    #表示将视频素材下载到默认的文件夹，默认文件夹为当前项目下的 ./storage/cache_videos\n# material_directory = \"/user/harry/videos\"  #表示将视频素材下载到指定的文件夹中\n# material_directory = \"task\"                #表示将视频素材下载到当前任务的文件夹中，这种方式无法共享已经下载的视频素材\n\nmaterial_directory = \"\"\n\n# Used for state management of the task\nenable_redis = false\nredis_host = \"localhost\"\nredis_port = 6379\nredis_db = 0\nredis_password = \"\"\n\n# 文生视频时的最大并发任务数\nmax_concurrent_tasks = 5\n\n\n[whisper]\n# Only effective when subtitle_provider is \"whisper\"\n\n# Run on GPU with FP16\n# model = WhisperModel(model_size, device=\"cuda\", compute_type=\"float16\")\n\n# Run on GPU with INT8\n# model = WhisperModel(model_size, device=\"cuda\", compute_type=\"int8_float16\")\n\n# Run on CPU with INT8\n# model = WhisperModel(model_size, device=\"cpu\", compute_type=\"int8\")\n\n# recommended model_size: \"large-v3\"\nmodel_size = \"large-v3\"\n# if you want to use GPU, set device=\"cuda\"\ndevice = \"CPU\"\ncompute_type = \"int8\"\n\n\n[proxy]\n### Use a proxy to access the Pexels API\n### Format: \"http://<username>:<password>@<proxy>:<port>\"\n### Example: \"http://user:pass@proxy:1234\"\n### Doc: https://requests.readthedocs.io/en/latest/user/advanced/#proxies\n\n# http = \"http://10.10.1.10:3128\"\n# https = \"http://10.10.1.10:1080\"\n\n[azure]\n# Azure Speech API Key\n# Get your API key at https://portal.azure.com/#view/Microsoft_Azure_ProjectOxford/CognitiveServicesHub/~/SpeechServices\nspeech_key = \"\"\nspeech_region = \"\"\n\n[siliconflow]\n# SiliconFlow API Key\n# Get your API key at https://siliconflow.cn\napi_key = \"\"\n\n[ui]\n# UI related settings\n# 是否隐藏日志信息\n# Whether to hide logs in the UI\nhide_log = false\n\n# 字幕位置设置 (Subtitle position settings)\n# 可选值 (Available values): \"top\", \"center\", \"bottom\", \"custom\"\n# subtitle_position = \"custom\"\n# 自定义位置，表示离顶部的百分比 (0-100)，仅当 subtitle_position = \"custom\" 时生效\n# Custom position as percentage from top (0-100), only effective when subtitle_position = \"custom\"\n# custom_position = 70.0\n\n########## Upload-Post (Cross-post to TikTok/Instagram)\n# Upload-Post allows you to automatically cross-post generated videos to TikTok and Instagram.\n# Visit https://upload-post.com to create an account and get your API key.\n# API Documentation: https://docs.upload-post.com\n\n# Enable/disable Upload-Post integration\nupload_post_enabled = false\n\n# Your Upload-Post API key\nupload_post_api_key = \"\"\n\n# Your Upload-Post username\nupload_post_username = \"\"\n\n# Platforms to cross-post to (options: \"tiktok\", \"instagram\")\nupload_post_platforms = [\"tiktok\", \"instagram\"]\n\n# Automatically cross-post videos after generation (if false, you'll need to call the API manually)\nupload_post_auto_upload = false\n"}, "6a345a9c8d31a797603126cbb3a99ea33df94d42": {"t": 1785750554.691562, "n": 8565, "h": "5eacb0e8d9549b5b", "c": "[app]\nvideo_source = \"pexels\" # \"pexels\" or \"pixabay\"\n\n# 是否隐藏配置面板\nhide_config = false\n\n# Pexels API Key\n# Register at https://www.pexels.com/api/ to get your API key.\n# You can use multiple keys to avoid rate limits.\n# For example: pexels_api_keys = [\"123adsf4567adf89\",\"abd1321cd13efgfdfhi\"]\n# 特别注意格式，Key 用英文双引号括起来，多个Key用逗号隔开\npexels_api_keys = []\n\n# Pixabay API Key\n# Register at https://pixabay.com/api/docs/ to get your API key.\n# You can use multiple keys to avoid rate limits.\n# For example: pixabay_api_keys = [\"123adsf4567adf89\",\"abd1321cd13efgfdfhi\"]\n# 特别注意格式，Key 用英文双引号括起来，多个Key用逗号隔开\npixabay_api_keys = []\n\n# 支持的提供商 (Supported providers):\n#   openai\n#   moonshot    (月之暗面)\n#   azure\n#   qwen        (通义千问)\n#   deepseek\n#   gemini\n#   ollama\n#   g4f\n#   oneapi\n#   cloudflare\n#   minimax\n#   ernie       (文心一言)\n#   modelscope  (魔搭社区)\nllm_provider = \"openai\"\n\n########## Pollinations AI Settings\n# Visit https://pollinations.ai/ to learn more\n# API Key is optional - leave empty for public access\npollinations_api_key = \"\"\n# Default base URL for Pollinations API\npollinations_base_url = \"https://pollinations.ai/api/v1\"\n# Default model for text generation\npollinations_model_name = \"openai-fast\"\n\n########## Ollama Settings\n# No need to set it unless you want to use your own proxy\nollama_base_url = \"\"\n# Check your available models at https://ollama.com/library\nollama_model_name = \"\"\n\n########## OpenAI API Key\n# Get your API key at https://platform.openai.com/api-keys\nopenai_api_key = \"\"\n# No need to set it unless you want to use your own proxy\nopenai_base_url = \"\"\n# Check your available models at https://platform.openai.com/account/limits\nopenai_model_name = \"gpt-4o-mini\"\n\n########## Moonshot API Key\n# Visit https://platform.moonshot.cn/console/api-keys to get your API key.\nmoonshot_api_key = \"\"\nmoonshot_base_url = \"https://api.moonshot.cn/v1\"\nmoonshot_model_name = \"moonshot-v1-8k\"\n\n########## OneAPI API Key\n# Visit https://github.com/songquanpeng/one-api to get your API key\noneapi_api_key = \"\"\noneapi_base_url = \"\"\noneapi_model_name = \"\"\n\n########## G4F\n# Visit https://github.com/xtekky/gpt4free to get more details\n# Supported model list: https://github.com/xtekky/gpt4free/blob/main/g4f/models.py\ng4f_model_name = \"gpt-3.5-turbo\"\n\n########## Azure API Key\n# Visit https://learn.microsoft.com/zh-cn/azure/ai-services/openai/ to get more details\n# API documentation: https://learn.microsoft.com/zh-cn/azure/ai-services/openai/reference\nazure_api_key = \"\"\nazure_base_url = \"\"\nazure_model_name = \"gpt-35-turbo\"        # replace with your model deployment name\nazure_api_version = \"2024-02-15-preview\"\n\n########## Gemini API Key\ngemini_api_key = \"\"\ngemini_model_name = \"gemini-1.0-pro\"\n\n########## Qwen API Key\n# Visit https://dashscope.console.aliyun.com/apiKey to get your API key\n# Visit below links to get more details\n# https://tongyi.aliyun.com/qianwen/\n# https://help.aliyun.com/zh/dashscope/developer-reference/model-introduction\nqwen_api_key = \"\"\nqwen_model_name = \"qwen-max\"\n\n\n########## MiniMax API Key\n# Visit https://platform.minimax.io to get your API key\n# MiniMax API is OpenAI-compatible\n# Available models: MiniMax-M2.7 (default), MiniMax-M2.7-highspeed\nminimax_api_key = \"\"\nminimax_base_url = \"https://api.minimax.io/v1\"\nminimax_model_name = \"MiniMax-M2.7\"\n\n########## DeepSeek API Key\n# Visit https://platform.deepseek.com/api_keys to get your API key\ndeepseek_api_key = \"\"\ndeepseek_base_url = \"https://api.deepseek.com\"\ndeepseek_model_name = \"deepseek-chat\"\n\n\n########## ModelScope API Key\n# Visit https://modelscope.cn/docs/model-service/API-Inference/intro to get your API key\n# And note that you need to bind your Alibaba Cloud account before using the API.\nmodelscope_api_key = \"\"\nmodelscope_base_url = \"https://api-inference.modelscope.cn/v1/\"\nmodelscope_model_name = \"Qwen/Qwen3-32B\"\n\n# Subtitle Provider, \"edge\" or \"whisper\"\n# If empty, the subtitle will not be generated\nsubtitle_provider = \"edge\"\n\n#\n# ImageMagick\n#\n# Once you have installed it, ImageMagick will be automatically detected, except on Windows!\n# On Windows, for example \"C:\\Program Files (x86)\\ImageMagick-7.1.1-Q16-HDRI\\magick.exe\"\n# Download from https://imagemagick.org/archive/binaries/ImageMagick-7.1.1-29-Q16-x64-static.exe\n\n# imagemagick_path = \"C:\\\\Program Files (x86)\\\\ImageMagick-7.1.1-Q16\\\\magick.exe\"\n\n\n#\n# FFMPEG\n#\n# 通常情况下，ffmpeg 会被自动下载，并且会被自动检测到。\n# 但是如果你的环境有问题，无法自动下载，可能会遇到如下错误：\n#   RuntimeError: No ffmpeg exe could be found.\n#   Install ffmpeg on your system, or set the IMAGEIO_FFMPEG_EXE environment variable.\n# 此时你可以手动下载 ffmpeg 并设置 ffmpeg_path，下载地址：https://www.gyan.dev/ffmpeg/builds/\n\n# Under normal circumstances, ffmpeg is downloaded automatically and detected automatically.\n# However, if there is an issue with your environment that prevents automatic downloading, you might encounter the following error:\n#   RuntimeError: No ffmpeg exe could be found.\n#   Install ffmpeg on your system, or set the IMAGEIO_FFMPEG_EXE environment variable.\n# In such cases, you can manually download ffmpeg and set the ffmpeg_path, download link: https://www.gyan.dev/ffmpeg/builds/\n\n# ffmpeg_path = \"C:\\\\Users\\\\harry\\\\Downloads\\\\ffmpeg.exe\"\n#########################################################################################\n\n# 当视频生成成功后，API服务提供的视频下载接入点，默认为当前服务的地址和监听端口\n# 比如 http://127.0.0.1:8080/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n# 如果你需要使用域名对外提供服务（一般会用nginx做代理），则可以设置为你的域名\n# 比如 https://xxxx.com/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n# endpoint=\"https://xxxx.com\"\n\n# When the video is successfully generated, the API service provides a download endpoint for the video, defaulting to the service's current address and listening port.\n# For example, http://127.0.0.1:8080/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n# If you need to provide the service externally using a domain name (usually done with nginx as a proxy), you can set it to your domain name.\n# For example, https://xxxx.com/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n# endpoint=\"https://xxxx.com\"\nendpoint = \"\"\n\n\n# Video material storage location\n# material_directory = \"\"                    # Indicates that video materials will be downloaded to the default folder, the default folder is ./storage/cache_videos under the current project\n# material_directory = \"/user/harry/videos\"  # Indicates that video materials will be downloaded to a specified folder\n# material_directory = \"task\"                # Indicates that video materials will be downloaded to the current task's folder, this method does not allow sharing of already downloaded video materials\n\n# 视频素材存放位置\n# material_directory = \"\"                    #表示将视频素材下载到默认的文件夹，默认文件夹为当前项目下的 ./storage/cache_videos\n# material_directory = \"/user/harry/videos\"  #表示将视频素材下载到指定的文件夹中\n# material_directory = \"task\"                #表示将视频素材下载到当前任务的文件夹中，这种方式无法共享已经下载的视频素材\n\nmaterial_directory = \"\"\n\n# Used for state management of the task\nenable_redis = false\nredis_host = \"localhost\"\nredis_port = 6379\nredis_db = 0\nredis_password = \"\"\n\n# 文生视频时的最大并发任务数\nmax_concurrent_tasks = 5\n\n\n[whisper]\n# Only effective when subtitle_provider is \"whisper\"\n\n# Run on GPU with FP16\n# model = WhisperModel(model_size, device=\"cuda\", compute_type=\"float16\")\n\n# Run on GPU with INT8\n# model = WhisperModel(model_size, device=\"cuda\", compute_type=\"int8_float16\")\n\n# Run on CPU with INT8\n# model = WhisperModel(model_size, device=\"cpu\", compute_type=\"int8\")\n\n# recommended model_size: \"large-v3\"\nmodel_size = \"large-v3\"\n# if you want to use GPU, set device=\"cuda\"\ndevice = \"CPU\"\ncompute_type = \"int8\"\n\n\n[proxy]\n### Use a proxy to access the Pexels API\n### Format: \"http://<username>:<password>@<proxy>:<port>\"\n### Example: \"http://user:pass@proxy:1234\"\n### Doc: https://requests.readthedocs.io/en/latest/user/advanced/#proxies\n\n# http = \"http://10.10.1.10:3128\"\n# https = \"http://10.10.1.10:1080\"\n\n[azure]\n# Azure Speech API Key\n# Get your API key at https://portal.azure.com/#view/Microsoft_Azure_ProjectOxford/CognitiveServicesHub/~/SpeechServices\nspeech_key = \"\"\nspeech_region = \"\"\n\n[siliconflow]\n# SiliconFlow API Key\n# Get your API key at https://siliconflow.cn\napi_key = \"\"\n\n[ui]\n# UI related settings\n# 是否隐藏日志信息\n# Whether to hide logs in the UI\nhide_log = false\n\n# 字幕位置设置 (Subtitle position settings)\n# 可选值 (Available values): \"top\", \"center\", \"bottom\", \"custom\"\n# subtitle_position = \"custom\"\n# 自定义位置，表示离顶部的百分比 (0-100)，仅当 subtitle_position = \"custom\" 时生效\n# Custom position as percentage from top (0-100), only effective when subtitle_position = \"custom\"\n# custom_position = 70.0\n"}, "3be3c4a98f1687fa2c69cab38a19560dfd6d4a53": {"t": 1785750555.9789896, "n": 8263, "h": "f55159e525762fee", "c": "[app]\nvideo_source = \"pexels\" # \"pexels\" or \"pixabay\"\n\n# 是否隐藏配置面板\nhide_config = false\n\n# Pexels API Key\n# Register at https://www.pexels.com/api/ to get your API key.\n# You can use multiple keys to avoid rate limits.\n# For example: pexels_api_keys = [\"123adsf4567adf89\",\"abd1321cd13efgfdfhi\"]\n# 特别注意格式，Key 用英文双引号括起来，多个Key用逗号隔开\npexels_api_keys = []\n\n# Pixabay API Key\n# Register at https://pixabay.com/api/docs/ to get your API key.\n# You can use multiple keys to avoid rate limits.\n# For example: pixabay_api_keys = [\"123adsf4567adf89\",\"abd1321cd13efgfdfhi\"]\n# 特别注意格式，Key 用英文双引号括起来，多个Key用逗号隔开\npixabay_api_keys = []\n\n# 支持的提供商 (Supported providers):\n#   openai\n#   moonshot    (月之暗面)\n#   azure\n#   qwen        (通义千问)\n#   deepseek\n#   gemini\n#   ollama\n#   g4f\n#   oneapi\n#   cloudflare\n#   ernie       (文心一言)\n#   modelscope  (魔搭社区)\nllm_provider = \"openai\"\n\n########## Pollinations AI Settings\n# Visit https://pollinations.ai/ to learn more\n# API Key is optional - leave empty for public access\npollinations_api_key = \"\"\n# Default base URL for Pollinations API\npollinations_base_url = \"https://pollinations.ai/api/v1\"\n# Default model for text generation\npollinations_model_name = \"openai-fast\"\n\n########## Ollama Settings\n# No need to set it unless you want to use your own proxy\nollama_base_url = \"\"\n# Check your available models at https://ollama.com/library\nollama_model_name = \"\"\n\n########## OpenAI API Key\n# Get your API key at https://platform.openai.com/api-keys\nopenai_api_key = \"\"\n# No need to set it unless you want to use your own proxy\nopenai_base_url = \"\"\n# Check your available models at https://platform.openai.com/account/limits\nopenai_model_name = \"gpt-4o-mini\"\n\n########## Moonshot API Key\n# Visit https://platform.moonshot.cn/console/api-keys to get your API key.\nmoonshot_api_key = \"\"\nmoonshot_base_url = \"https://api.moonshot.cn/v1\"\nmoonshot_model_name = \"moonshot-v1-8k\"\n\n########## OneAPI API Key\n# Visit https://github.com/songquanpeng/one-api to get your API key\noneapi_api_key = \"\"\noneapi_base_url = \"\"\noneapi_model_name = \"\"\n\n########## G4F\n# Visit https://github.com/xtekky/gpt4free to get more details\n# Supported model list: https://github.com/xtekky/gpt4free/blob/main/g4f/models.py\ng4f_model_name = \"gpt-3.5-turbo\"\n\n########## Azure API Key\n# Visit https://learn.microsoft.com/zh-cn/azure/ai-services/openai/ to get more details\n# API documentation: https://learn.microsoft.com/zh-cn/azure/ai-services/openai/reference\nazure_api_key = \"\"\nazure_base_url = \"\"\nazure_model_name = \"gpt-35-turbo\"        # replace with your model deployment name\nazure_api_version = \"2024-02-15-preview\"\n\n########## Gemini API Key\ngemini_api_key = \"\"\ngemini_model_name = \"gemini-1.0-pro\"\n\n########## Qwen API Key\n# Visit https://dashscope.console.aliyun.com/apiKey to get your API key\n# Visit below links to get more details\n# https://tongyi.aliyun.com/qianwen/\n# https://help.aliyun.com/zh/dashscope/developer-reference/model-introduction\nqwen_api_key = \"\"\nqwen_model_name = \"qwen-max\"\n\n\n########## DeepSeek API Key\n# Visit https://platform.deepseek.com/api_keys to get your API key\ndeepseek_api_key = \"\"\ndeepseek_base_url = \"https://api.deepseek.com\"\ndeepseek_model_name = \"deepseek-chat\"\n\n\n########## ModelScope API Key\n# Visit https://modelscope.cn/docs/model-service/API-Inference/intro to get your API key\n# And note that you need to bind your Alibaba Cloud account before using the API.\nmodelscope_api_key = \"\"\nmodelscope_base_url = \"https://api-inference.modelscope.cn/v1/\"\nmodelscope_model_name = \"Qwen/Qwen3-32B\"\n\n# Subtitle Provider, \"edge\" or \"whisper\"\n# If empty, the subtitle will not be generated\nsubtitle_provider = \"edge\"\n\n#\n# ImageMagick\n#\n# Once you have installed it, ImageMagick will be automatically detected, except on Windows!\n# On Windows, for example \"C:\\Program Files (x86)\\ImageMagick-7.1.1-Q16-HDRI\\magick.exe\"\n# Download from https://imagemagick.org/archive/binaries/ImageMagick-7.1.1-29-Q16-x64-static.exe\n\n# imagemagick_path = \"C:\\\\Program Files (x86)\\\\ImageMagick-7.1.1-Q16\\\\magick.exe\"\n\n\n#\n# FFMPEG\n#\n# 通常情况下，ffmpeg 会被自动下载，并且会被自动检测到。\n# 但是如果你的环境有问题，无法自动下载，可能会遇到如下错误：\n#   RuntimeError: No ffmpeg exe could be found.\n#   Install ffmpeg on your system, or set the IMAGEIO_FFMPEG_EXE environment variable.\n# 此时你可以手动下载 ffmpeg 并设置 ffmpeg_path，下载地址：https://www.gyan.dev/ffmpeg/builds/\n\n# Under normal circumstances, ffmpeg is downloaded automatically and detected automatically.\n# However, if there is an issue with your environment that prevents automatic downloading, you might encounter the following error:\n#   RuntimeError: No ffmpeg exe could be found.\n#   Install ffmpeg on your system, or set the IMAGEIO_FFMPEG_EXE environment variable.\n# In such cases, you can manually download ffmpeg and set the ffmpeg_path, download link: https://www.gyan.dev/ffmpeg/builds/\n\n# ffmpeg_path = \"C:\\\\Users\\\\harry\\\\Downloads\\\\ffmpeg.exe\"\n#########################################################################################\n\n# 当视频生成成功后，API服务提供的视频下载接入点，默认为当前服务的地址和监听端口\n# 比如 http://127.0.0.1:8080/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n# 如果你需要使用域名对外提供服务（一般会用nginx做代理），则可以设置为你的域名\n# 比如 https://xxxx.com/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n# endpoint=\"https://xxxx.com\"\n\n# When the video is successfully generated, the API service provides a download endpoint for the video, defaulting to the service's current address and listening port.\n# For example, http://127.0.0.1:8080/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n# If you need to provide the service externally using a domain name (usually done with nginx as a proxy), you can set it to your domain name.\n# For example, https://xxxx.com/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n# endpoint=\"https://xxxx.com\"\nendpoint = \"\"\n\n\n# Video material storage location\n# material_directory = \"\"                    # Indicates that video materials will be downloaded to the default folder, the default folder is ./storage/cache_videos under the current project\n# material_directory = \"/user/harry/videos\"  # Indicates that video materials will be downloaded to a specified folder\n# material_directory = \"task\"                # Indicates that video materials will be downloaded to the current task's folder, this method does not allow sharing of already downloaded video materials\n\n# 视频素材存放位置\n# material_directory = \"\"                    #表示将视频素材下载到默认的文件夹，默认文件夹为当前项目下的 ./storage/cache_videos\n# material_directory = \"/user/harry/videos\"  #表示将视频素材下载到指定的文件夹中\n# material_directory = \"task\"                #表示将视频素材下载到当前任务的文件夹中，这种方式无法共享已经下载的视频素材\n\nmaterial_directory = \"\"\n\n# Used for state management of the task\nenable_redis = false\nredis_host = \"localhost\"\nredis_port = 6379\nredis_db = 0\nredis_password = \"\"\n\n# 文生视频时的最大并发任务数\nmax_concurrent_tasks = 5\n\n\n[whisper]\n# Only effective when subtitle_provider is \"whisper\"\n\n# Run on GPU with FP16\n# model = WhisperModel(model_size, device=\"cuda\", compute_type=\"float16\")\n\n# Run on GPU with INT8\n# model = WhisperModel(model_size, device=\"cuda\", compute_type=\"int8_float16\")\n\n# Run on CPU with INT8\n# model = WhisperModel(model_size, device=\"cpu\", compute_type=\"int8\")\n\n# recommended model_size: \"large-v3\"\nmodel_size = \"large-v3\"\n# if you want to use GPU, set device=\"cuda\"\ndevice = \"CPU\"\ncompute_type = \"int8\"\n\n\n[proxy]\n### Use a proxy to access the Pexels API\n### Format: \"http://<username>:<password>@<proxy>:<port>\"\n### Example: \"http://user:pass@proxy:1234\"\n### Doc: https://requests.readthedocs.io/en/latest/user/advanced/#proxies\n\n# http = \"http://10.10.1.10:3128\"\n# https = \"http://10.10.1.10:1080\"\n\n[azure]\n# Azure Speech API Key\n# Get your API key at https://portal.azure.com/#view/Microsoft_Azure_ProjectOxford/CognitiveServicesHub/~/SpeechServices\nspeech_key = \"\"\nspeech_region = \"\"\n\n[siliconflow]\n# SiliconFlow API Key\n# Get your API key at https://siliconflow.cn\napi_key = \"\"\n\n[ui]\n# UI related settings\n# 是否隐藏日志信息\n# Whether to hide logs in the UI\nhide_log = false\n\n# 字幕位置设置 (Subtitle position settings)\n# 可选值 (Available values): \"top\", \"center\", \"bottom\", \"custom\"\n# subtitle_position = \"custom\"\n# 自定义位置，表示离顶部的百分比 (0-100)，仅当 subtitle_position = \"custom\" 时生效\n# Custom position as percentage from top (0-100), only effective when subtitle_position = \"custom\"\n# custom_position = 70.0\n"}, "f2dfcfcd96c91483f2b69eac08ee57a6161a143a": {"t": 1785750557.5092766, "n": 8644, "h": "5ed7899d6680f0e0", "c": "[app]\nvideo_source = \"pexels\" # \"pexels\" or \"pixabay\"\n\n# 是否隐藏配置面板\nhide_config = false\n\n# Pexels API Key\n# Register at https://www.pexels.com/api/ to get your API key.\n# You can use multiple keys to avoid rate limits.\n# For example: pexels_api_keys = [\"123adsf4567adf89\",\"abd1321cd13efgfdfhi\"]\n# 特别注意格式，Key 用英文双引号括起来，多个Key用逗号隔开\npexels_api_keys = []\n\n# Pixabay API Key\n# Register at https://pixabay.com/api/docs/ to get your API key.\n# You can use multiple keys to avoid rate limits.\n# For example: pixabay_api_keys = [\"123adsf4567adf89\",\"abd1321cd13efgfdfhi\"]\n# 特别注意格式，Key 用英文双引号括起来，多个Key用逗号隔开\npixabay_api_keys = []\n\n# 支持的提供商 (Supported providers):\n#   openai\n#   moonshot    (月之暗面)\n#   azure\n#   qwen        (通义千问)\n#   deepseek\n#   gemini\n#   ollama\n#   g4f\n#   oneapi\n#   cloudflare\n#   ernie       (文心一言)\n#   modelscope  (魔搭社区)\nllm_provider = \"openai\"\n\n########## Pollinations AI Settings\n# Visit https://pollinations.ai/ to learn more\n# API Key is optional - leave empty for public access\npollinations_api_key = \"\"\n# Default base URL for Pollinations API\npollinations_base_url = \"https://pollinations.ai/api/v1\"\n# Default model for text generation\npollinations_model_name = \"openai-fast\"\n\n########## Ollama Settings\n# No need to set it unless you want to use your own proxy\nollama_base_url = \"\"\n# Check your available models at https://ollama.com/library\nollama_model_name = \"\"\n\n########## OpenAI API Key\n# Get your API key at https://platform.openai.com/api-keys\nopenai_api_key = \"\"\n# No need to set it unless you want to use your own proxy\nopenai_base_url = \"\"\n# Check your available models at https://platform.openai.com/account/limits\nopenai_model_name = \"gpt-4o-mini\"\n\n########## Moonshot API Key\n# Visit https://platform.moonshot.cn/console/api-keys to get your API key.\nmoonshot_api_key = \"\"\nmoonshot_base_url = \"https://api.moonshot.cn/v1\"\nmoonshot_model_name = \"moonshot-v1-8k\"\n\n########## OneAPI API Key\n# Visit https://github.com/songquanpeng/one-api to get your API key\noneapi_api_key = \"\"\noneapi_base_url = \"\"\noneapi_model_name = \"\"\n\n########## G4F\n# Visit https://github.com/xtekky/gpt4free to get more details\n# Supported model list: https://github.com/xtekky/gpt4free/blob/main/g4f/models.py\ng4f_model_name = \"gpt-3.5-turbo\"\n\n########## Azure API Key\n# Visit https://learn.microsoft.com/zh-cn/azure/ai-services/openai/ to get more details\n# API documentation: https://learn.microsoft.com/zh-cn/azure/ai-services/openai/reference\nazure_api_key = \"\"\nazure_base_url = \"\"\nazure_model_name = \"gpt-35-turbo\"        # replace with your model deployment name\nazure_api_version = \"2024-02-15-preview\"\n\n########## Gemini API Key\ngemini_api_key = \"\"\ngemini_model_name = \"gemini-1.0-pro\"\n\n########## Qwen API Key\n# Visit https://dashscope.console.aliyun.com/apiKey to get your API key\n# Visit below links to get more details\n# https://tongyi.aliyun.com/qianwen/\n# https://help.aliyun.com/zh/dashscope/developer-reference/model-introduction\nqwen_api_key = \"\"\nqwen_model_name = \"qwen-max\"\n\n\n########## DeepSeek API Key\n# Visit https://platform.deepseek.com/api_keys to get your API key\ndeepseek_api_key = \"\"\ndeepseek_base_url = \"https://api.deepseek.com\"\ndeepseek_model_name = \"deepseek-chat\"\n\n\n########## ModelScope API Key\n# Visit https://modelscope.cn/docs/model-service/API-Inference/intro to get your API key\n# And note that you need to bind your Alibaba Cloud account before using the API.\nmodelscope_api_key = \"\"\nmodelscope_base_url = \"https://api-inference.modelscope.cn/v1/\"\nmodelscope_model_name = \"Qwen/Qwen3-32B\"\n\n# Subtitle Provider, \"edge\" or \"whisper\"\n# If empty, the subtitle will not be generated\nsubtitle_provider = \"edge\"\n\n#\n# ImageMagick\n#\n# Once you have installed it, ImageMagick will be automatically detected, except on Windows!\n# On Windows, for example \"C:\\Program Files (x86)\\ImageMagick-7.1.1-Q16-HDRI\\magick.exe\"\n# Download from https://imagemagick.org/archive/binaries/ImageMagick-7.1.1-29-Q16-x64-static.exe\n\n# imagemagick_path = \"C:\\\\Program Files (x86)\\\\ImageMagick-7.1.1-Q16\\\\magick.exe\"\n\n\n#\n# FFMPEG\n#\n# 通常情况下，ffmpeg 会被自动下载，并且会被自动检测到。\n# 但是如果你的环境有问题，无法自动下载，可能会遇到如下错误：\n#   RuntimeError: No ffmpeg exe could be found.\n#   Install ffmpeg on your system, or set the IMAGEIO_FFMPEG_EXE environment variable.\n# 此时你可以手动下载 ffmpeg 并设置 ffmpeg_path，下载地址：https://www.gyan.dev/ffmpeg/builds/\n\n# Under normal circumstances, ffmpeg is downloaded automatically and detected automatically.\n# However, if there is an issue with your environment that prevents automatic downloading, you might encounter the following error:\n#   RuntimeError: No ffmpeg exe could be found.\n#   Install ffmpeg on your system, or set the IMAGEIO_FFMPEG_EXE environment variable.\n# In such cases, you can manually download ffmpeg and set the ffmpeg_path, download link: https://www.gyan.dev/ffmpeg/builds/\n\n# ffmpeg_path = \"C:\\\\Users\\\\harry\\\\Downloads\\\\ffmpeg.exe\"\n#########################################################################################\n\n# 当视频生成成功后，API服务提供的视频下载接入点，默认为当前服务的地址和监听端口\n# 比如 http://127.0.0.1:8080/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n# 如果你需要使用域名对外提供服务（一般会用nginx做代理），则可以设置为你的域名\n# 比如 https://xxxx.com/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n# endpoint=\"https://xxxx.com\"\n\n# When the video is successfully generated, the API service provides a download endpoint for the video, defaulting to the service's current address and listening port.\n# For example, http://127.0.0.1:8080/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n# If you need to provide the service externally using a domain name (usually done with nginx as a proxy), you can set it to your domain name.\n# For example, https://xxxx.com/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n# endpoint=\"https://xxxx.com\"\nendpoint = \"\"\n\n\n# Video material storage location\n# material_directory = \"\"                    # Indicates that video materials will be downloaded to the default folder, the default folder is ./storage/cache_videos under the current project\n# material_directory = \"/user/harry/videos\"  # Indicates that video materials will be downloaded to a specified folder\n# material_directory = \"task\"                # Indicates that video materials will be downloaded to the current task's folder, this method does not allow sharing of already downloaded video materials\n\n# 视频素材存放位置\n# material_directory = \"\"                    #表示将视频素材下载到默认的文件夹，默认文件夹为当前项目下的 ./storage/cache_videos\n# material_directory = \"/user/harry/videos\"  #表示将视频素材下载到指定的文件夹中\n# material_directory = \"task\"                #表示将视频素材下载到当前任务的文件夹中，这种方式无法共享已经下载的视频素材\n\nmaterial_directory = \"\"\n\n# Used for state management of the task\nenable_redis = false\nredis_host = \"localhost\"\nredis_port = 6379\nredis_db = 0\nredis_password = \"\"\n\n# 文生视频时的最大并发任务数\nmax_concurrent_tasks = 5\n\n\n[whisper]\n# Only effective when subtitle_provider is \"whisper\"\n\n# Run on GPU with FP16\n# model = WhisperModel(model_size, device=\"cuda\", compute_type=\"float16\")\n\n# Run on GPU with INT8\n# model = WhisperModel(model_size, device=\"cuda\", compute_type=\"int8_float16\")\n\n# Run on CPU with INT8\n# model = WhisperModel(model_size, device=\"cpu\", compute_type=\"int8\")\n\n# recommended model_size: \"large-v3\"\nmodel_size = \"large-v3\"\n# if you want to use GPU, set device=\"cuda\"\ndevice = \"CPU\"\ncompute_type = \"int8\"\n\n\n[proxy]\n### Use a proxy to access the Pexels API\n### Format: \"http://<username>:<password>@<proxy>:<port>\"\n### Example: \"http://user:pass@proxy:1234\"\n### Doc: https://requests.readthedocs.io/en/latest/user/advanced/#proxies\n\n# http = \"http://10.10.1.10:3128\"\n# https = \"http://10.10.1.10:1080\"\n\n[azure]\n# Azure Speech API Key\n# Get your API key at https://portal.azure.com/#view/Microsoft_Azure_ProjectOxford/CognitiveServicesHub/~/SpeechServices\nspeech_key = \"\"\nspeech_region = \"\"\n\n[siliconflow]\n# SiliconFlow API Key\n# Get your API key at https://siliconflow.cn\napi_key = \"\"\n\n[ui]\n# UI related settings\n# 是否隐藏日志信息\n# Whether to hide logs in the UI\nhide_log = false\n\n########## Upload-Post (Cross-post to TikTok/Instagram)\n# Upload-Post allows you to automatically cross-post generated videos to TikTok and Instagram.\n# Visit https://upload-post.com to create an account and get your API key.\n# API Documentation: https://docs.upload-post.com\n\n# Enable/disable Upload-Post integration\nupload_post_enabled = false\n\n# Your Upload-Post API key\nupload_post_api_key = \"\"\n\n# Your Upload-Post username\nupload_post_username = \"\"\n\n# Platforms to cross-post to (options: \"tiktok\", \"instagram\")\nupload_post_platforms = [\"tiktok\", \"instagram\"]\n\n# Automatically cross-post videos after generation (if false, you'll need to call the API manually)\nupload_post_auto_upload = false\n"}, "9744c69ed4be6c4902fb6661c41bd3ebb08dc07f": {"t": 1785750559.0709426, "n": 8247, "h": "9fc052d0e8b10f72", "c": "[app]\nvideo_source = \"pexels\" # \"pexels\" or \"pixabay\"\n\n# 是否隐藏配置面板\nhide_config = false\n\n# Pexels API Key\n# Register at https://www.pexels.com/api/ to get your API key.\n# You can use multiple keys to avoid rate limits.\n# For example: pexels_api_keys = [\"123adsf4567adf89\",\"abd1321cd13efgfdfhi\"]\n# 特别注意格式，Key 用英文双引号括起来，多个Key用逗号隔开\npexels_api_keys = []\n\n# Pixabay API Key\n# Register at https://pixabay.com/api/docs/ to get your API key.\n# You can use multiple keys to avoid rate limits.\n# For example: pixabay_api_keys = [\"123adsf4567adf89\",\"abd1321cd13efgfdfhi\"]\n# 特别注意格式，Key 用英文双引号括起来，多个Key用逗号隔开\npixabay_api_keys = []\n\n# 支持的提供商 (Supported providers):\n#   openai\n#   moonshot    (月之暗面)\n#   azure\n#   qwen        (通义千问)\n#   deepseek\n#   gemini\n#   ollama\n#   g4f\n#   oneapi\n#   cloudflare\n#   minimax\n#   ernie       (文心一言)\n#   modelscope  (魔搭社区)\nllm_provider = \"openai\"\n\n########## Pollinations AI Settings\n# Visit https://pollinations.ai/ to learn more\n# API Key is optional - leave empty for public access\npollinations_api_key = \"\"\n# Default base URL for Pollinations API\npollinations_base_url = \"https://pollinations.ai/api/v1\"\n# Default model for text generation\npollinations_model_name = \"openai-fast\"\n\n########## Ollama Settings\n# No need to set it unless you want to use your own proxy\nollama_base_url = \"\"\n# Check your available models at https://ollama.com/library\nollama_model_name = \"\"\n\n########## OpenAI API Key\n# Get your API key at https://platform.openai.com/api-keys\nopenai_api_key = \"\"\n# No need to set it unless you want to use your own proxy\nopenai_base_url = \"\"\n# Check your available models at https://platform.openai.com/account/limits\nopenai_model_name = \"gpt-4o-mini\"\n\n########## Moonshot API Key\n# Visit https://platform.moonshot.cn/console/api-keys to get your API key.\nmoonshot_api_key = \"\"\nmoonshot_base_url = \"https://api.moonshot.cn/v1\"\nmoonshot_model_name = \"moonshot-v1-8k\"\n\n########## OneAPI API Key\n# Visit https://github.com/songquanpeng/one-api to get your API key\noneapi_api_key = \"\"\noneapi_base_url = \"\"\noneapi_model_name = \"\"\n\n########## G4F\n# Visit https://github.com/xtekky/gpt4free to get more details\n# Supported model list: https://github.com/xtekky/gpt4free/blob/main/g4f/models.py\ng4f_model_name = \"gpt-3.5-turbo\"\n\n########## Azure API Key\n# Visit https://learn.microsoft.com/zh-cn/azure/ai-services/openai/ to get more details\n# API documentation: https://learn.microsoft.com/zh-cn/azure/ai-services/openai/reference\nazure_api_key = \"\"\nazure_base_url = \"\"\nazure_model_name = \"gpt-35-turbo\"        # replace with your model deployment name\nazure_api_version = \"2024-02-15-preview\"\n\n########## Gemini API Key\ngemini_api_key = \"\"\ngemini_model_name = \"gemini-1.0-pro\"\n\n########## Qwen API Key\n# Visit https://dashscope.console.aliyun.com/apiKey to get your API key\n# Visit below links to get more details\n# https://tongyi.aliyun.com/qianwen/\n# https://help.aliyun.com/zh/dashscope/developer-reference/model-introduction\nqwen_api_key = \"\"\nqwen_model_name = \"qwen-max\"\n\n\n########## MiniMax API Key\n# Visit https://platform.minimax.io to get your API key\n# MiniMax API is OpenAI-compatible\n# Available models: MiniMax-M2.7 (default), MiniMax-M2.7-highspeed\nminimax_api_key = \"\"\nminimax_base_url = \"https://api.minimax.io/v1\"\nminimax_model_name = \"MiniMax-M2.7\"\n\n########## DeepSeek API Key\n# Visit https://platform.deepseek.com/api_keys to get your API key\ndeepseek_api_key = \"\"\ndeepseek_base_url = \"https://api.deepseek.com\"\ndeepseek_model_name = \"deepseek-chat\"\n\n\n########## ModelScope API Key\n# Visit https://modelscope.cn/docs/model-service/API-Inference/intro to get your API key\n# And note that you need to bind your Alibaba Cloud account before using the API.\nmodelscope_api_key = \"\"\nmodelscope_base_url = \"https://api-inference.modelscope.cn/v1/\"\nmodelscope_model_name = \"Qwen/Qwen3-32B\"\n\n# Subtitle Provider, \"edge\" or \"whisper\"\n# If empty, the subtitle will not be generated\nsubtitle_provider = \"edge\"\n\n#\n# ImageMagick\n#\n# Once you have installed it, ImageMagick will be automatically detected, except on Windows!\n# On Windows, for example \"C:\\Program Files (x86)\\ImageMagick-7.1.1-Q16-HDRI\\magick.exe\"\n# Download from https://imagemagick.org/archive/binaries/ImageMagick-7.1.1-29-Q16-x64-static.exe\n\n# imagemagick_path = \"C:\\\\Program Files (x86)\\\\ImageMagick-7.1.1-Q16\\\\magick.exe\"\n\n\n#\n# FFMPEG\n#\n# 通常情况下，ffmpeg 会被自动下载，并且会被自动检测到。\n# 但是如果你的环境有问题，无法自动下载，可能会遇到如下错误：\n#   RuntimeError: No ffmpeg exe could be found.\n#   Install ffmpeg on your system, or set the IMAGEIO_FFMPEG_EXE environment variable.\n# 此时你可以手动下载 ffmpeg 并设置 ffmpeg_path，下载地址：https://www.gyan.dev/ffmpeg/builds/\n\n# Under normal circumstances, ffmpeg is downloaded automatically and detected automatically.\n# However, if there is an issue with your environment that prevents automatic downloading, you might encounter the following error:\n#   RuntimeError: No ffmpeg exe could be found.\n#   Install ffmpeg on your system, or set the IMAGEIO_FFMPEG_EXE environment variable.\n# In such cases, you can manually download ffmpeg and set the ffmpeg_path, download link: https://www.gyan.dev/ffmpeg/builds/\n\n# ffmpeg_path = \"C:\\\\Users\\\\harry\\\\Downloads\\\\ffmpeg.exe\"\n#########################################################################################\n\n# 当视频生成成功后，API服务提供的视频下载接入点，默认为当前服务的地址和监听端口\n# 比如 http://127.0.0.1:8080/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n# 如果你需要使用域名对外提供服务（一般会用nginx做代理），则可以设置为你的域名\n# 比如 https://xxxx.com/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n# endpoint=\"https://xxxx.com\"\n\n# When the video is successfully generated, the API service provides a download endpoint for the video, defaulting to the service's current address and listening port.\n# For example, http://127.0.0.1:8080/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n# If you need to provide the service externally using a domain name (usually done with nginx as a proxy), you can set it to your domain name.\n# For example, https://xxxx.com/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n# endpoint=\"https://xxxx.com\"\nendpoint = \"\"\n\n\n# Video material storage location\n# material_directory = \"\"                    # Indicates that video materials will be downloaded to the default folder, the default folder is ./storage/cache_videos under the current project\n# material_directory = \"/user/harry/videos\"  # Indicates that video materials will be downloaded to a specified folder\n# material_directory = \"task\"                # Indicates that video materials will be downloaded to the current task's folder, this method does not allow sharing of already downloaded video materials\n\n# 视频素材存放位置\n# material_directory = \"\"                    #表示将视频素材下载到默认的文件夹，默认文件夹为当前项目下的 ./storage/cache_videos\n# material_directory = \"/user/harry/videos\"  #表示将视频素材下载到指定的文件夹中\n# material_directory = \"task\"                #表示将视频素材下载到当前任务的文件夹中，这种方式无法共享已经下载的视频素材\n\nmaterial_directory = \"\"\n\n# Used for state management of the task\nenable_redis = false\nredis_host = \"localhost\"\nredis_port = 6379\nredis_db = 0\nredis_password = \"\"\n\n# 文生视频时的最大并发任务数\nmax_concurrent_tasks = 5\n\n\n[whisper]\n# Only effective when subtitle_provider is \"whisper\"\n\n# Run on GPU with FP16\n# model = WhisperModel(model_size, device=\"cuda\", compute_type=\"float16\")\n\n# Run on GPU with INT8\n# model = WhisperModel(model_size, device=\"cuda\", compute_type=\"int8_float16\")\n\n# Run on CPU with INT8\n# model = WhisperModel(model_size, device=\"cpu\", compute_type=\"int8\")\n\n# recommended model_size: \"large-v3\"\nmodel_size = \"large-v3\"\n# if you want to use GPU, set device=\"cuda\"\ndevice = \"CPU\"\ncompute_type = \"int8\"\n\n\n[proxy]\n### Use a proxy to access the Pexels API\n### Format: \"http://<username>:<password>@<proxy>:<port>\"\n### Example: \"http://user:pass@proxy:1234\"\n### Doc: https://requests.readthedocs.io/en/latest/user/advanced/#proxies\n\n# http = \"http://10.10.1.10:3128\"\n# https = \"http://10.10.1.10:1080\"\n\n[azure]\n# Azure Speech API Key\n# Get your API key at https://portal.azure.com/#view/Microsoft_Azure_ProjectOxford/CognitiveServicesHub/~/SpeechServices\nspeech_key = \"\"\nspeech_region = \"\"\n\n[siliconflow]\n# SiliconFlow API Key\n# Get your API key at https://siliconflow.cn\napi_key = \"\"\n\n[ui]\n# UI related settings\n# 是否隐藏日志信息\n# Whether to hide logs in the UI\nhide_log = false\n"}, "3fe9dc59ed259d8f48f461df1f5cee657c74384c": {"t": 1785750561.5661569, "n": 8180, "h": "7a06ac9683391d00", "c": "[app]\nvideo_source = \"pexels\" # \"pexels\" or \"pixabay\"\n\n# 是否隐藏配置面板\nhide_config = false\n\n# Pexels API Key\n# Register at https://www.pexels.com/api/ to get your API key.\n# You can use multiple keys to avoid rate limits.\n# For example: pexels_api_keys = [\"123adsf4567adf89\",\"abd1321cd13efgfdfhi\"]\n# 特别注意格式，Key 用英文双引号括起来，多个Key用逗号隔开\npexels_api_keys = []\n\n# Pixabay API Key\n# Register at https://pixabay.com/api/docs/ to get your API key.\n# You can use multiple keys to avoid rate limits.\n# For example: pixabay_api_keys = [\"123adsf4567adf89\",\"abd1321cd13efgfdfhi\"]\n# 特别注意格式，Key 用英文双引号括起来，多个Key用逗号隔开\npixabay_api_keys = []\n\n# 支持的提供商 (Supported providers):\n#   openai\n#   moonshot    (月之暗面)\n#   azure\n#   qwen        (通义千问)\n#   deepseek\n#   gemini\n#   ollama\n#   g4f\n#   oneapi\n#   cloudflare\n#   minimax\n#   ernie       (文心一言)\n#   modelscope  (魔搭社区)\nllm_provider = \"openai\"\n\n########## Pollinations AI Settings\n# Visit https://pollinations.ai/ to learn more\n# API Key is optional - leave empty for public access\npollinations_api_key = \"\"\n# Default base URL for Pollinations API\npollinations_base_url = \"https://pollinations.ai/api/v1\"\n# Default model for text generation\npollinations_model_name = \"openai-fast\"\n\n########## Ollama Settings\n# No need to set it unless you want to use your own proxy\nollama_base_url = \"\"\n# Check your available models at https://ollama.com/library\nollama_model_name = \"\"\n\n########## OpenAI API Key\n# Get your API key at https://platform.openai.com/api-keys\nopenai_api_key = \"\"\n# No need to set it unless you want to use your own proxy\nopenai_base_url = \"\"\n# Check your available models at https://platform.openai.com/account/limits\nopenai_model_name = \"gpt-4o-mini\"\n\n########## Moonshot API Key\n# Visit https://platform.moonshot.cn/console/api-keys to get your API key.\nmoonshot_api_key = \"\"\nmoonshot_base_url = \"https://api.moonshot.cn/v1\"\nmoonshot_model_name = \"moonshot-v1-8k\"\n\n########## OneAPI API Key\n# Visit https://github.com/songquanpeng/one-api to get your API key\noneapi_api_key = \"\"\noneapi_base_url = \"\"\noneapi_model_name = \"\"\n\n########## G4F\n# Visit https://github.com/xtekky/gpt4free to get more details\n# Supported model list: https://github.com/xtekky/gpt4free/blob/main/g4f/models.py\ng4f_model_name = \"gpt-3.5-turbo\"\n\n########## Azure API Key\n# Visit https://learn.microsoft.com/zh-cn/azure/ai-services/openai/ to get more details\n# API documentation: https://learn.microsoft.com/zh-cn/azure/ai-services/openai/reference\nazure_api_key = \"\"\nazure_base_url = \"\"\nazure_model_name = \"gpt-35-turbo\"        # replace with your model deployment name\nazure_api_version = \"2024-02-15-preview\"\n\n########## Gemini API Key\ngemini_api_key = \"\"\ngemini_model_name = \"gemini-1.0-pro\"\n\n########## Qwen API Key\n# Visit https://dashscope.console.aliyun.com/apiKey to get your API key\n# Visit below links to get more details\n# https://tongyi.aliyun.com/qianwen/\n# https://help.aliyun.com/zh/dashscope/developer-reference/model-introduction\nqwen_api_key = \"\"\nqwen_model_name = \"qwen-max\"\n\n\n########## MiniMax API Key\n# Visit https://platform.minimaxi.com to get your API key\n# MiniMax API is OpenAI-compatible\nminimax_api_key = \"\"\nminimax_base_url = \"https://api.minimax.io/v1\"\nminimax_model_name = \"MiniMax-M1\"\n\n########## DeepSeek API Key\n# Visit https://platform.deepseek.com/api_keys to get your API key\ndeepseek_api_key = \"\"\ndeepseek_base_url = \"https://api.deepseek.com\"\ndeepseek_model_name = \"deepseek-chat\"\n\n\n########## ModelScope API Key\n# Visit https://modelscope.cn/docs/model-service/API-Inference/intro to get your API key\n# And note that you need to bind your Alibaba Cloud account before using the API.\nmodelscope_api_key = \"\"\nmodelscope_base_url = \"https://api-inference.modelscope.cn/v1/\"\nmodelscope_model_name = \"Qwen/Qwen3-32B\"\n\n# Subtitle Provider, \"edge\" or \"whisper\"\n# If empty, the subtitle will not be generated\nsubtitle_provider = \"edge\"\n\n#\n# ImageMagick\n#\n# Once you have installed it, ImageMagick will be automatically detected, except on Windows!\n# On Windows, for example \"C:\\Program Files (x86)\\ImageMagick-7.1.1-Q16-HDRI\\magick.exe\"\n# Download from https://imagemagick.org/archive/binaries/ImageMagick-7.1.1-29-Q16-x64-static.exe\n\n# imagemagick_path = \"C:\\\\Program Files (x86)\\\\ImageMagick-7.1.1-Q16\\\\magick.exe\"\n\n\n#\n# FFMPEG\n#\n# 通常情况下，ffmpeg 会被自动下载，并且会被自动检测到。\n# 但是如果你的环境有问题，无法自动下载，可能会遇到如下错误：\n#   RuntimeError: No ffmpeg exe could be found.\n#   Install ffmpeg on your system, or set the IMAGEIO_FFMPEG_EXE environment variable.\n# 此时你可以手动下载 ffmpeg 并设置 ffmpeg_path，下载地址：https://www.gyan.dev/ffmpeg/builds/\n\n# Under normal circumstances, ffmpeg is downloaded automatically and detected automatically.\n# However, if there is an issue with your environment that prevents automatic downloading, you might encounter the following error:\n#   RuntimeError: No ffmpeg exe could be found.\n#   Install ffmpeg on your system, or set the IMAGEIO_FFMPEG_EXE environment variable.\n# In such cases, you can manually download ffmpeg and set the ffmpeg_path, download link: https://www.gyan.dev/ffmpeg/builds/\n\n# ffmpeg_path = \"C:\\\\Users\\\\harry\\\\Downloads\\\\ffmpeg.exe\"\n#########################################################################################\n\n# 当视频生成成功后，API服务提供的视频下载接入点，默认为当前服务的地址和监听端口\n# 比如 http://127.0.0.1:8080/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n# 如果你需要使用域名对外提供服务（一般会用nginx做代理），则可以设置为你的域名\n# 比如 https://xxxx.com/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n# endpoint=\"https://xxxx.com\"\n\n# When the video is successfully generated, the API service provides a download endpoint for the video, defaulting to the service's current address and listening port.\n# For example, http://127.0.0.1:8080/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n# If you need to provide the service externally using a domain name (usually done with nginx as a proxy), you can set it to your domain name.\n# For example, https://xxxx.com/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n# endpoint=\"https://xxxx.com\"\nendpoint = \"\"\n\n\n# Video material storage location\n# material_directory = \"\"                    # Indicates that video materials will be downloaded to the default folder, the default folder is ./storage/cache_videos under the current project\n# material_directory = \"/user/harry/videos\"  # Indicates that video materials will be downloaded to a specified folder\n# material_directory = \"task\"                # Indicates that video materials will be downloaded to the current task's folder, this method does not allow sharing of already downloaded video materials\n\n# 视频素材存放位置\n# material_directory = \"\"                    #表示将视频素材下载到默认的文件夹，默认文件夹为当前项目下的 ./storage/cache_videos\n# material_directory = \"/user/harry/videos\"  #表示将视频素材下载到指定的文件夹中\n# material_directory = \"task\"                #表示将视频素材下载到当前任务的文件夹中，这种方式无法共享已经下载的视频素材\n\nmaterial_directory = \"\"\n\n# Used for state management of the task\nenable_redis = false\nredis_host = \"localhost\"\nredis_port = 6379\nredis_db = 0\nredis_password = \"\"\n\n# 文生视频时的最大并发任务数\nmax_concurrent_tasks = 5\n\n\n[whisper]\n# Only effective when subtitle_provider is \"whisper\"\n\n# Run on GPU with FP16\n# model = WhisperModel(model_size, device=\"cuda\", compute_type=\"float16\")\n\n# Run on GPU with INT8\n# model = WhisperModel(model_size, device=\"cuda\", compute_type=\"int8_float16\")\n\n# Run on CPU with INT8\n# model = WhisperModel(model_size, device=\"cpu\", compute_type=\"int8\")\n\n# recommended model_size: \"large-v3\"\nmodel_size = \"large-v3\"\n# if you want to use GPU, set device=\"cuda\"\ndevice = \"CPU\"\ncompute_type = \"int8\"\n\n\n[proxy]\n### Use a proxy to access the Pexels API\n### Format: \"http://<username>:<password>@<proxy>:<port>\"\n### Example: \"http://user:pass@proxy:1234\"\n### Doc: https://requests.readthedocs.io/en/latest/user/advanced/#proxies\n\n# http = \"http://10.10.1.10:3128\"\n# https = \"http://10.10.1.10:1080\"\n\n[azure]\n# Azure Speech API Key\n# Get your API key at https://portal.azure.com/#view/Microsoft_Azure_ProjectOxford/CognitiveServicesHub/~/SpeechServices\nspeech_key = \"\"\nspeech_region = \"\"\n\n[siliconflow]\n# SiliconFlow API Key\n# Get your API key at https://siliconflow.cn\napi_key = \"\"\n\n[ui]\n# UI related settings\n# 是否隐藏日志信息\n# Whether to hide logs in the UI\nhide_log = false\n"}, "18be15f4461ccb8d2ec17be89faefa40f25a7c04": {"t": 1785750562.8359694, "n": 7945, "h": "f0b9b750eee3c899", "c": "[app]\nvideo_source = \"pexels\" # \"pexels\" or \"pixabay\"\n\n# 是否隐藏配置面板\nhide_config = false\n\n# Pexels API Key\n# Register at https://www.pexels.com/api/ to get your API key.\n# You can use multiple keys to avoid rate limits.\n# For example: pexels_api_keys = [\"123adsf4567adf89\",\"abd1321cd13efgfdfhi\"]\n# 特别注意格式，Key 用英文双引号括起来，多个Key用逗号隔开\npexels_api_keys = []\n\n# Pixabay API Key\n# Register at https://pixabay.com/api/docs/ to get your API key.\n# You can use multiple keys to avoid rate limits.\n# For example: pixabay_api_keys = [\"123adsf4567adf89\",\"abd1321cd13efgfdfhi\"]\n# 特别注意格式，Key 用英文双引号括起来，多个Key用逗号隔开\npixabay_api_keys = []\n\n# 支持的提供商 (Supported providers):\n#   openai\n#   moonshot    (月之暗面)\n#   azure\n#   qwen        (通义千问)\n#   deepseek\n#   gemini\n#   ollama\n#   g4f\n#   oneapi\n#   cloudflare\n#   ernie       (文心一言)\n#   modelscope  (魔搭社区)\nllm_provider = \"openai\"\n\n########## Pollinations AI Settings\n# Visit https://pollinations.ai/ to learn more\n# API Key is optional - leave empty for public access\npollinations_api_key = \"\"\n# Default base URL for Pollinations API\npollinations_base_url = \"https://pollinations.ai/api/v1\"\n# Default model for text generation\npollinations_model_name = \"openai-fast\"\n\n########## Ollama Settings\n# No need to set it unless you want to use your own proxy\nollama_base_url = \"\"\n# Check your available models at https://ollama.com/library\nollama_model_name = \"\"\n\n########## OpenAI API Key\n# Get your API key at https://platform.openai.com/api-keys\nopenai_api_key = \"\"\n# No need to set it unless you want to use your own proxy\nopenai_base_url = \"\"\n# Check your available models at https://platform.openai.com/account/limits\nopenai_model_name = \"gpt-4o-mini\"\n\n########## Moonshot API Key\n# Visit https://platform.moonshot.cn/console/api-keys to get your API key.\nmoonshot_api_key = \"\"\nmoonshot_base_url = \"https://api.moonshot.cn/v1\"\nmoonshot_model_name = \"moonshot-v1-8k\"\n\n########## OneAPI API Key\n# Visit https://github.com/songquanpeng/one-api to get your API key\noneapi_api_key = \"\"\noneapi_base_url = \"\"\noneapi_model_name = \"\"\n\n########## G4F\n# Visit https://github.com/xtekky/gpt4free to get more details\n# Supported model list: https://github.com/xtekky/gpt4free/blob/main/g4f/models.py\ng4f_model_name = \"gpt-3.5-turbo\"\n\n########## Azure API Key\n# Visit https://learn.microsoft.com/zh-cn/azure/ai-services/openai/ to get more details\n# API documentation: https://learn.microsoft.com/zh-cn/azure/ai-services/openai/reference\nazure_api_key = \"\"\nazure_base_url = \"\"\nazure_model_name = \"gpt-35-turbo\"        # replace with your model deployment name\nazure_api_version = \"2024-02-15-preview\"\n\n########## Gemini API Key\ngemini_api_key = \"\"\ngemini_model_name = \"gemini-1.0-pro\"\n\n########## Qwen API Key\n# Visit https://dashscope.console.aliyun.com/apiKey to get your API key\n# Visit below links to get more details\n# https://tongyi.aliyun.com/qianwen/\n# https://help.aliyun.com/zh/dashscope/developer-reference/model-introduction\nqwen_api_key = \"\"\nqwen_model_name = \"qwen-max\"\n\n\n########## DeepSeek API Key\n# Visit https://platform.deepseek.com/api_keys to get your API key\ndeepseek_api_key = \"\"\ndeepseek_base_url = \"https://api.deepseek.com\"\ndeepseek_model_name = \"deepseek-chat\"\n\n\n########## ModelScope API Key\n# Visit https://modelscope.cn/docs/model-service/API-Inference/intro to get your API key\n# And note that you need to bind your Alibaba Cloud account before using the API.\nmodelscope_api_key = \"\"\nmodelscope_base_url = \"https://api-inference.modelscope.cn/v1/\"\nmodelscope_model_name = \"Qwen/Qwen3-32B\"\n\n# Subtitle Provider, \"edge\" or \"whisper\"\n# If empty, the subtitle will not be generated\nsubtitle_provider = \"edge\"\n\n#\n# ImageMagick\n#\n# Once you have installed it, ImageMagick will be automatically detected, except on Windows!\n# On Windows, for example \"C:\\Program Files (x86)\\ImageMagick-7.1.1-Q16-HDRI\\magick.exe\"\n# Download from https://imagemagick.org/archive/binaries/ImageMagick-7.1.1-29-Q16-x64-static.exe\n\n# imagemagick_path = \"C:\\\\Program Files (x86)\\\\ImageMagick-7.1.1-Q16\\\\magick.exe\"\n\n\n#\n# FFMPEG\n#\n# 通常情况下，ffmpeg 会被自动下载，并且会被自动检测到。\n# 但是如果你的环境有问题，无法自动下载，可能会遇到如下错误：\n#   RuntimeError: No ffmpeg exe could be found.\n#   Install ffmpeg on your system, or set the IMAGEIO_FFMPEG_EXE environment variable.\n# 此时你可以手动下载 ffmpeg 并设置 ffmpeg_path，下载地址：https://www.gyan.dev/ffmpeg/builds/\n\n# Under normal circumstances, ffmpeg is downloaded automatically and detected automatically.\n# However, if there is an issue with your environment that prevents automatic downloading, you might encounter the following error:\n#   RuntimeError: No ffmpeg exe could be found.\n#   Install ffmpeg on your system, or set the IMAGEIO_FFMPEG_EXE environment variable.\n# In such cases, you can manually download ffmpeg and set the ffmpeg_path, download link: https://www.gyan.dev/ffmpeg/builds/\n\n# ffmpeg_path = \"C:\\\\Users\\\\harry\\\\Downloads\\\\ffmpeg.exe\"\n#########################################################################################\n\n# 当视频生成成功后，API服务提供的视频下载接入点，默认为当前服务的地址和监听端口\n# 比如 http://127.0.0.1:8080/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n# 如果你需要使用域名对外提供服务（一般会用nginx做代理），则可以设置为你的域名\n# 比如 https://xxxx.com/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n# endpoint=\"https://xxxx.com\"\n\n# When the video is successfully generated, the API service provides a download endpoint for the video, defaulting to the service's current address and listening port.\n# For example, http://127.0.0.1:8080/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n# If you need to provide the service externally using a domain name (usually done with nginx as a proxy), you can set it to your domain name.\n# For example, https://xxxx.com/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n# endpoint=\"https://xxxx.com\"\nendpoint = \"\"\n\n\n# Video material storage location\n# material_directory = \"\"                    # Indicates that video materials will be downloaded to the default folder, the default folder is ./storage/cache_videos under the current project\n# material_directory = \"/user/harry/videos\"  # Indicates that video materials will be downloaded to a specified folder\n# material_directory = \"task\"                # Indicates that video materials will be downloaded to the current task's folder, this method does not allow sharing of already downloaded video materials\n\n# 视频素材存放位置\n# material_directory = \"\"                    #表示将视频素材下载到默认的文件夹，默认文件夹为当前项目下的 ./storage/cache_videos\n# material_directory = \"/user/harry/videos\"  #表示将视频素材下载到指定的文件夹中\n# material_directory = \"task\"                #表示将视频素材下载到当前任务的文件夹中，这种方式无法共享已经下载的视频素材\n\nmaterial_directory = \"\"\n\n# Used for state management of the task\nenable_redis = false\nredis_host = \"localhost\"\nredis_port = 6379\nredis_db = 0\nredis_password = \"\"\n\n# 文生视频时的最大并发任务数\nmax_concurrent_tasks = 5\n\n\n[whisper]\n# Only effective when subtitle_provider is \"whisper\"\n\n# Run on GPU with FP16\n# model = WhisperModel(model_size, device=\"cuda\", compute_type=\"float16\")\n\n# Run on GPU with INT8\n# model = WhisperModel(model_size, device=\"cuda\", compute_type=\"int8_float16\")\n\n# Run on CPU with INT8\n# model = WhisperModel(model_size, device=\"cpu\", compute_type=\"int8\")\n\n# recommended model_size: \"large-v3\"\nmodel_size = \"large-v3\"\n# if you want to use GPU, set device=\"cuda\"\ndevice = \"CPU\"\ncompute_type = \"int8\"\n\n\n[proxy]\n### Use a proxy to access the Pexels API\n### Format: \"http://<username>:<password>@<proxy>:<port>\"\n### Example: \"http://user:pass@proxy:1234\"\n### Doc: https://requests.readthedocs.io/en/latest/user/advanced/#proxies\n\n# http = \"http://10.10.1.10:3128\"\n# https = \"http://10.10.1.10:1080\"\n\n[azure]\n# Azure Speech API Key\n# Get your API key at https://portal.azure.com/#view/Microsoft_Azure_ProjectOxford/CognitiveServicesHub/~/SpeechServices\nspeech_key = \"\"\nspeech_region = \"\"\n\n[siliconflow]\n# SiliconFlow API Key\n# Get your API key at https://siliconflow.cn\napi_key = \"\"\n\n[ui]\n# UI related settings\n# 是否隐藏日志信息\n# Whether to hide logs in the UI\nhide_log = false\n"}, "10f177adacceb3b553d1e1d0ff5096afe58fab78": {"t": 1785750563.9436433, "n": 7922, "h": "42e5433af2eb9613", "c": "[app]\nvideo_source = \"pexels\" # \"pexels\" or \"pixabay\"\n\n# 是否隐藏配置面板\nhide_config = false\n\n# Pexels API Key\n# Register at https://www.pexels.com/api/ to get your API key.\n# You can use multiple keys to avoid rate limits.\n# For example: pexels_api_keys = [\"123adsf4567adf89\",\"abd1321cd13efgfdfhi\"]\n# 特别注意格式，Key 用英文双引号括起来，多个Key用逗号隔开\npexels_api_keys = []\n\n# Pixabay API Key\n# Register at https://pixabay.com/api/docs/ to get your API key.\n# You can use multiple keys to avoid rate limits.\n# For example: pixabay_api_keys = [\"123adsf4567adf89\",\"abd1321cd13efgfdfhi\"]\n# 特别注意格式，Key 用英文双引号括起来，多个Key用逗号隔开\npixabay_api_keys = []\n\n# 支持的提供商 (Supported providers):\n#   openai\n#   moonshot    (月之暗面)\n#   azure\n#   qwen        (通义千问)\n#   deepseek\n#   gemini\n#   ollama\n#   g4f\n#   oneapi\n#   cloudflare\n#   ernie       (文心一言)\nllm_provider = \"openai\"\n\n########## Pollinations AI Settings\n# Visit https://pollinations.ai/ to learn more\n# API Key is optional - leave empty for public access\npollinations_api_key = \"\"\n# Default base URL for Pollinations API\npollinations_base_url = \"https://pollinations.ai/api/v1\"\n# Default model for text generation\npollinations_model_name = \"openai-fast\"\n\n########## Ollama Settings\n# No need to set it unless you want to use your own proxy\nollama_base_url = \"\"\n# Check your available models at https://ollama.com/library\nollama_model_name = \"\"\n\n########## OpenAI API Key\n# Get your API key at https://platform.openai.com/api-keys\nopenai_api_key = \"\"\n# No need to set it unless you want to use your own proxy\nopenai_base_url = \"\"\n# Check your available models at https://platform.openai.com/account/limits\nopenai_model_name = \"gpt-4o-mini\"\n\n########## Moonshot API Key\n# Visit https://platform.moonshot.cn/console/api-keys to get your API key.\nmoonshot_api_key = \"\"\nmoonshot_base_url = \"https://api.moonshot.cn/v1\"\nmoonshot_model_name = \"moonshot-v1-8k\"\n\n########## OneAPI API Key\n# Visit https://github.com/songquanpeng/one-api to get your API key\noneapi_api_key = \"\"\noneapi_base_url = \"\"\noneapi_model_name = \"\"\n\n########## G4F\n# Visit https://github.com/xtekky/gpt4free to get more details\n# Supported model list: https://github.com/xtekky/gpt4free/blob/main/g4f/models.py\ng4f_model_name = \"gpt-3.5-turbo\"\n\n########## Azure API Key\n# Visit https://learn.microsoft.com/zh-cn/azure/ai-services/openai/ to get more details\n# API documentation: https://learn.microsoft.com/zh-cn/azure/ai-services/openai/reference\nazure_api_key = \"\"\nazure_base_url = \"\"\nazure_model_name = \"gpt-35-turbo\"        # replace with your model deployment name\nazure_api_version = \"2024-02-15-preview\"\n\n########## Gemini API Key\ngemini_api_key = \"\"\ngemini_model_name = \"gemini-1.0-pro\"\n\n########## Qwen API Key\n# Visit https://dashscope.console.aliyun.com/apiKey to get your API key\n# Visit below links to get more details\n# https://tongyi.aliyun.com/qianwen/\n# https://help.aliyun.com/zh/dashscope/developer-reference/model-introduction\nqwen_api_key = \"\"\nqwen_model_name = \"qwen-max\"\n\n\n########## DeepSeek API Key\n# Visit https://platform.deepseek.com/api_keys to get your API key\ndeepseek_api_key = \"\"\ndeepseek_base_url = \"https://api.deepseek.com\"\ndeepseek_model_name = \"deepseek-chat\"\n\n\n########## ModelScope API Key\n# Visit https://modelscope.cn/docs/model-service/API-Inference/intro to get your API key\n# And note that you need to bind your Alibaba Cloud account before using the API.\nmodelscope_api_key = \"\"\nmodelscope_base_url = \"https://api-inference.modelscope.cn/v1/\"\nmodelscope_model_name = \"Qwen/Qwen3-32B\"\n\n# Subtitle Provider, \"edge\" or \"whisper\"\n# If empty, the subtitle will not be generated\nsubtitle_provider = \"edge\"\n\n#\n# ImageMagick\n#\n# Once you have installed it, ImageMagick will be automatically detected, except on Windows!\n# On Windows, for example \"C:\\Program Files (x86)\\ImageMagick-7.1.1-Q16-HDRI\\magick.exe\"\n# Download from https://imagemagick.org/archive/binaries/ImageMagick-7.1.1-29-Q16-x64-static.exe\n\n# imagemagick_path = \"C:\\\\Program Files (x86)\\\\ImageMagick-7.1.1-Q16\\\\magick.exe\"\n\n\n#\n# FFMPEG\n#\n# 通常情况下，ffmpeg 会被自动下载，并且会被自动检测到。\n# 但是如果你的环境有问题，无法自动下载，可能会遇到如下错误：\n#   RuntimeError: No ffmpeg exe could be found.\n#   Install ffmpeg on your system, or set the IMAGEIO_FFMPEG_EXE environment variable.\n# 此时你可以手动下载 ffmpeg 并设置 ffmpeg_path，下载地址：https://www.gyan.dev/ffmpeg/builds/\n\n# Under normal circumstances, ffmpeg is downloaded automatically and detected automatically.\n# However, if there is an issue with your environment that prevents automatic downloading, you might encounter the following error:\n#   RuntimeError: No ffmpeg exe could be found.\n#   Install ffmpeg on your system, or set the IMAGEIO_FFMPEG_EXE environment variable.\n# In such cases, you can manually download ffmpeg and set the ffmpeg_path, download link: https://www.gyan.dev/ffmpeg/builds/\n\n# ffmpeg_path = \"C:\\\\Users\\\\harry\\\\Downloads\\\\ffmpeg.exe\"\n#########################################################################################\n\n# 当视频生成成功后，API服务提供的视频下载接入点，默认为当前服务的地址和监听端口\n# 比如 http://127.0.0.1:8080/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n# 如果你需要使用域名对外提供服务（一般会用nginx做代理），则可以设置为你的域名\n# 比如 https://xxxx.com/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n# endpoint=\"https://xxxx.com\"\n\n# When the video is successfully generated, the API service provides a download endpoint for the video, defaulting to the service's current address and listening port.\n# For example, http://127.0.0.1:8080/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n# If you need to provide the service externally using a domain name (usually done with nginx as a proxy), you can set it to your domain name.\n# For example, https://xxxx.com/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n# endpoint=\"https://xxxx.com\"\nendpoint = \"\"\n\n\n# Video material storage location\n# material_directory = \"\"                    # Indicates that video materials will be downloaded to the default folder, the default folder is ./storage/cache_videos under the current project\n# material_directory = \"/user/harry/videos\"  # Indicates that video materials will be downloaded to a specified folder\n# material_directory = \"task\"                # Indicates that video materials will be downloaded to the current task's folder, this method does not allow sharing of already downloaded video materials\n\n# 视频素材存放位置\n# material_directory = \"\"                    #表示将视频素材下载到默认的文件夹，默认文件夹为当前项目下的 ./storage/cache_videos\n# material_directory = \"/user/harry/videos\"  #表示将视频素材下载到指定的文件夹中\n# material_directory = \"task\"                #表示将视频素材下载到当前任务的文件夹中，这种方式无法共享已经下载的视频素材\n\nmaterial_directory = \"\"\n\n# Used for state management of the task\nenable_redis = false\nredis_host = \"localhost\"\nredis_port = 6379\nredis_db = 0\nredis_password = \"\"\n\n# 文生视频时的最大并发任务数\nmax_concurrent_tasks = 5\n\n\n[whisper]\n# Only effective when subtitle_provider is \"whisper\"\n\n# Run on GPU with FP16\n# model = WhisperModel(model_size, device=\"cuda\", compute_type=\"float16\")\n\n# Run on GPU with INT8\n# model = WhisperModel(model_size, device=\"cuda\", compute_type=\"int8_float16\")\n\n# Run on CPU with INT8\n# model = WhisperModel(model_size, device=\"cpu\", compute_type=\"int8\")\n\n# recommended model_size: \"large-v3\"\nmodel_size = \"large-v3\"\n# if you want to use GPU, set device=\"cuda\"\ndevice = \"CPU\"\ncompute_type = \"int8\"\n\n\n[proxy]\n### Use a proxy to access the Pexels API\n### Format: \"http://<username>:<password>@<proxy>:<port>\"\n### Example: \"http://user:pass@proxy:1234\"\n### Doc: https://requests.readthedocs.io/en/latest/user/advanced/#proxies\n\n# http = \"http://10.10.1.10:3128\"\n# https = \"http://10.10.1.10:1080\"\n\n[azure]\n# Azure Speech API Key\n# Get your API key at https://portal.azure.com/#view/Microsoft_Azure_ProjectOxford/CognitiveServicesHub/~/SpeechServices\nspeech_key = \"\"\nspeech_region = \"\"\n\n[siliconflow]\n# SiliconFlow API Key\n# Get your API key at https://siliconflow.cn\napi_key = \"\"\n\n[ui]\n# UI related settings\n# 是否隐藏日志信息\n# Whether to hide logs in the UI\nhide_log = false\n"}, "95922908cec8c80497cc9e22fd79b6f3798379c4": {"t": 1785750565.0247638, "n": 7590, "h": "204d40bfbc32a3bf", "c": "[app]\nvideo_source = \"pexels\" # \"pexels\" or \"pixabay\"\n\n# 是否隐藏配置面板\nhide_config = false\n\n# Pexels API Key\n# Register at https://www.pexels.com/api/ to get your API key.\n# You can use multiple keys to avoid rate limits.\n# For example: pexels_api_keys = [\"123adsf4567adf89\",\"abd1321cd13efgfdfhi\"]\n# 特别注意格式，Key 用英文双引号括起来，多个Key用逗号隔开\npexels_api_keys = []\n\n# Pixabay API Key\n# Register at https://pixabay.com/api/docs/ to get your API key.\n# You can use multiple keys to avoid rate limits.\n# For example: pixabay_api_keys = [\"123adsf4567adf89\",\"abd1321cd13efgfdfhi\"]\n# 特别注意格式，Key 用英文双引号括起来，多个Key用逗号隔开\npixabay_api_keys = []\n\n# 支持的提供商 (Supported providers):\n#   openai\n#   moonshot    (月之暗面)\n#   azure\n#   qwen        (通义千问)\n#   deepseek\n#   gemini\n#   ollama\n#   g4f\n#   oneapi\n#   cloudflare\n#   ernie       (文心一言)\nllm_provider = \"openai\"\n\n########## Pollinations AI Settings\n# Visit https://pollinations.ai/ to learn more\n# API Key is optional - leave empty for public access\npollinations_api_key = \"\"\n# Default base URL for Pollinations API\npollinations_base_url = \"https://pollinations.ai/api/v1\"\n# Default model for text generation\npollinations_model_name = \"openai-fast\"\n\n########## Ollama Settings\n# No need to set it unless you want to use your own proxy\nollama_base_url = \"\"\n# Check your available models at https://ollama.com/library\nollama_model_name = \"\"\n\n########## OpenAI API Key\n# Get your API key at https://platform.openai.com/api-keys\nopenai_api_key = \"\"\n# No need to set it unless you want to use your own proxy\nopenai_base_url = \"\"\n# Check your available models at https://platform.openai.com/account/limits\nopenai_model_name = \"gpt-4o-mini\"\n\n########## Moonshot API Key\n# Visit https://platform.moonshot.cn/console/api-keys to get your API key.\nmoonshot_api_key = \"\"\nmoonshot_base_url = \"https://api.moonshot.cn/v1\"\nmoonshot_model_name = \"moonshot-v1-8k\"\n\n########## OneAPI API Key\n# Visit https://github.com/songquanpeng/one-api to get your API key\noneapi_api_key = \"\"\noneapi_base_url = \"\"\noneapi_model_name = \"\"\n\n########## G4F\n# Visit https://github.com/xtekky/gpt4free to get more details\n# Supported model list: https://github.com/xtekky/gpt4free/blob/main/g4f/models.py\ng4f_model_name = \"gpt-3.5-turbo\"\n\n########## Azure API Key\n# Visit https://learn.microsoft.com/zh-cn/azure/ai-services/openai/ to get more details\n# API documentation: https://learn.microsoft.com/zh-cn/azure/ai-services/openai/reference\nazure_api_key = \"\"\nazure_base_url = \"\"\nazure_model_name = \"gpt-35-turbo\"        # replace with your model deployment name\nazure_api_version = \"2024-02-15-preview\"\n\n########## Gemini API Key\ngemini_api_key = \"\"\ngemini_model_name = \"gemini-1.0-pro\"\n\n########## Qwen API Key\n# Visit https://dashscope.console.aliyun.com/apiKey to get your API key\n# Visit below links to get more details\n# https://tongyi.aliyun.com/qianwen/\n# https://help.aliyun.com/zh/dashscope/developer-reference/model-introduction\nqwen_api_key = \"\"\nqwen_model_name = \"qwen-max\"\n\n\n########## DeepSeek API Key\n# Visit https://platform.deepseek.com/api_keys to get your API key\ndeepseek_api_key = \"\"\ndeepseek_base_url = \"https://api.deepseek.com\"\ndeepseek_model_name = \"deepseek-chat\"\n\n# Subtitle Provider, \"edge\" or \"whisper\"\n# If empty, the subtitle will not be generated\nsubtitle_provider = \"edge\"\n\n#\n# ImageMagick\n#\n# Once you have installed it, ImageMagick will be automatically detected, except on Windows!\n# On Windows, for example \"C:\\Program Files (x86)\\ImageMagick-7.1.1-Q16-HDRI\\magick.exe\"\n# Download from https://imagemagick.org/archive/binaries/ImageMagick-7.1.1-29-Q16-x64-static.exe\n\n# imagemagick_path = \"C:\\\\Program Files (x86)\\\\ImageMagick-7.1.1-Q16\\\\magick.exe\"\n\n\n#\n# FFMPEG\n#\n# 通常情况下，ffmpeg 会被自动下载，并且会被自动检测到。\n# 但是如果你的环境有问题，无法自动下载，可能会遇到如下错误：\n#   RuntimeError: No ffmpeg exe could be found.\n#   Install ffmpeg on your system, or set the IMAGEIO_FFMPEG_EXE environment variable.\n# 此时你可以手动下载 ffmpeg 并设置 ffmpeg_path，下载地址：https://www.gyan.dev/ffmpeg/builds/\n\n# Under normal circumstances, ffmpeg is downloaded automatically and detected automatically.\n# However, if there is an issue with your environment that prevents automatic downloading, you might encounter the following error:\n#   RuntimeError: No ffmpeg exe could be found.\n#   Install ffmpeg on your system, or set the IMAGEIO_FFMPEG_EXE environment variable.\n# In such cases, you can manually download ffmpeg and set the ffmpeg_path, download link: https://www.gyan.dev/ffmpeg/builds/\n\n# ffmpeg_path = \"C:\\\\Users\\\\harry\\\\Downloads\\\\ffmpeg.exe\"\n#########################################################################################\n\n# 当视频生成成功后，API服务提供的视频下载接入点，默认为当前服务的地址和监听端口\n# 比如 http://127.0.0.1:8080/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n# 如果你需要使用域名对外提供服务（一般会用nginx做代理），则可以设置为你的域名\n# 比如 https://xxxx.com/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n# endpoint=\"https://xxxx.com\"\n\n# When the video is successfully generated, the API service provides a download endpoint for the video, defaulting to the service's current address and listening port.\n# For example, http://127.0.0.1:8080/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n# If you need to provide the service externally using a domain name (usually done with nginx as a proxy), you can set it to your domain name.\n# For example, https://xxxx.com/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n# endpoint=\"https://xxxx.com\"\nendpoint = \"\"\n\n\n# Video material storage location\n# material_directory = \"\"                    # Indicates that video materials will be downloaded to the default folder, the default folder is ./storage/cache_videos under the current project\n# material_directory = \"/user/harry/videos\"  # Indicates that video materials will be downloaded to a specified folder\n# material_directory = \"task\"                # Indicates that video materials will be downloaded to the current task's folder, this method does not allow sharing of already downloaded video materials\n\n# 视频素材存放位置\n# material_directory = \"\"                    #表示将视频素材下载到默认的文件夹，默认文件夹为当前项目下的 ./storage/cache_videos\n# material_directory = \"/user/harry/videos\"  #表示将视频素材下载到指定的文件夹中\n# material_directory = \"task\"                #表示将视频素材下载到当前任务的文件夹中，这种方式无法共享已经下载的视频素材\n\nmaterial_directory = \"\"\n\n# Used for state management of the task\nenable_redis = false\nredis_host = \"localhost\"\nredis_port = 6379\nredis_db = 0\nredis_password = \"\"\n\n# 文生视频时的最大并发任务数\nmax_concurrent_tasks = 5\n\n\n[whisper]\n# Only effective when subtitle_provider is \"whisper\"\n\n# Run on GPU with FP16\n# model = WhisperModel(model_size, device=\"cuda\", compute_type=\"float16\")\n\n# Run on GPU with INT8\n# model = WhisperModel(model_size, device=\"cuda\", compute_type=\"int8_float16\")\n\n# Run on CPU with INT8\n# model = WhisperModel(model_size, device=\"cpu\", compute_type=\"int8\")\n\n# recommended model_size: \"large-v3\"\nmodel_size = \"large-v3\"\n# if you want to use GPU, set device=\"cuda\"\ndevice = \"CPU\"\ncompute_type = \"int8\"\n\n\n[proxy]\n### Use a proxy to access the Pexels API\n### Format: \"http://<username>:<password>@<proxy>:<port>\"\n### Example: \"http://user:pass@proxy:1234\"\n### Doc: https://requests.readthedocs.io/en/latest/user/advanced/#proxies\n\n# http = \"http://10.10.1.10:3128\"\n# https = \"http://10.10.1.10:1080\"\n\n[azure]\n# Azure Speech API Key\n# Get your API key at https://portal.azure.com/#view/Microsoft_Azure_ProjectOxford/CognitiveServicesHub/~/SpeechServices\nspeech_key = \"\"\nspeech_region = \"\"\n\n[siliconflow]\n# SiliconFlow API Key\n# Get your API key at https://siliconflow.cn\napi_key = \"\"\n\n[ui]\n# UI related settings\n# 是否隐藏日志信息\n# Whether to hide logs in the UI\nhide_log = false\n"}, "45f32756a3c43f6d5d92bde4c5f5b50375a11a7e": {"t": 1785750567.1191833, "n": 7253, "h": "2cf81f3b84358e83", "c": "[app]\nvideo_source = \"pexels\" # \"pexels\" or \"pixabay\"\n\n# 是否隐藏配置面板\nhide_config = false\n\n# Pexels API Key\n# Register at https://www.pexels.com/api/ to get your API key.\n# You can use multiple keys to avoid rate limits.\n# For example: pexels_api_keys = [\"123adsf4567adf89\",\"abd1321cd13efgfdfhi\"]\n# 特别注意格式，Key 用英文双引号括起来，多个Key用逗号隔开\npexels_api_keys = []\n\n# Pixabay API Key\n# Register at https://pixabay.com/api/docs/ to get your API key.\n# You can use multiple keys to avoid rate limits.\n# For example: pixabay_api_keys = [\"123adsf4567adf89\",\"abd1321cd13efgfdfhi\"]\n# 特别注意格式，Key 用英文双引号括起来，多个Key用逗号隔开\npixabay_api_keys = []\n\n# 支持的提供商 (Supported providers):\n#   openai\n#   moonshot    (月之暗面)\n#   azure\n#   qwen        (通义千问)\n#   deepseek\n#   gemini\n#   ollama\n#   g4f\n#   oneapi\n#   cloudflare\n#   ernie       (文心一言)\nllm_provider = \"openai\"\n\n########## Ollama Settings\n# No need to set it unless you want to use your own proxy\nollama_base_url = \"\"\n# Check your available models at https://ollama.com/library\nollama_model_name = \"\"\n\n########## OpenAI API Key\n# Get your API key at https://platform.openai.com/api-keys\nopenai_api_key = \"\"\n# No need to set it unless you want to use your own proxy\nopenai_base_url = \"\"\n# Check your available models at https://platform.openai.com/account/limits\nopenai_model_name = \"gpt-4o-mini\"\n\n########## Moonshot API Key\n# Visit https://platform.moonshot.cn/console/api-keys to get your API key.\nmoonshot_api_key = \"\"\nmoonshot_base_url = \"https://api.moonshot.cn/v1\"\nmoonshot_model_name = \"moonshot-v1-8k\"\n\n########## OneAPI API Key\n# Visit https://github.com/songquanpeng/one-api to get your API key\noneapi_api_key = \"\"\noneapi_base_url = \"\"\noneapi_model_name = \"\"\n\n########## G4F\n# Visit https://github.com/xtekky/gpt4free to get more details\n# Supported model list: https://github.com/xtekky/gpt4free/blob/main/g4f/models.py\ng4f_model_name = \"gpt-3.5-turbo\"\n\n########## Azure API Key\n# Visit https://learn.microsoft.com/zh-cn/azure/ai-services/openai/ to get more details\n# API documentation: https://learn.microsoft.com/zh-cn/azure/ai-services/openai/reference\nazure_api_key = \"\"\nazure_base_url = \"\"\nazure_model_name = \"gpt-35-turbo\"        # replace with your model deployment name\nazure_api_version = \"2024-02-15-preview\"\n\n########## Gemini API Key\ngemini_api_key = \"\"\ngemini_model_name = \"gemini-1.0-pro\"\n\n########## Qwen API Key\n# Visit https://dashscope.console.aliyun.com/apiKey to get your API key\n# Visit below links to get more details\n# https://tongyi.aliyun.com/qianwen/\n# https://help.aliyun.com/zh/dashscope/developer-reference/model-introduction\nqwen_api_key = \"\"\nqwen_model_name = \"qwen-max\"\n\n\n########## DeepSeek API Key\n# Visit https://platform.deepseek.com/api_keys to get your API key\ndeepseek_api_key = \"\"\ndeepseek_base_url = \"https://api.deepseek.com\"\ndeepseek_model_name = \"deepseek-chat\"\n\n# Subtitle Provider, \"edge\" or \"whisper\"\n# If empty, the subtitle will not be generated\nsubtitle_provider = \"edge\"\n\n#\n# ImageMagick\n#\n# Once you have installed it, ImageMagick will be automatically detected, except on Windows!\n# On Windows, for example \"C:\\Program Files (x86)\\ImageMagick-7.1.1-Q16-HDRI\\magick.exe\"\n# Download from https://imagemagick.org/archive/binaries/ImageMagick-7.1.1-29-Q16-x64-static.exe\n\n# imagemagick_path = \"C:\\\\Program Files (x86)\\\\ImageMagick-7.1.1-Q16\\\\magick.exe\"\n\n\n#\n# FFMPEG\n#\n# 通常情况下，ffmpeg 会被自动下载，并且会被自动检测到。\n# 但是如果你的环境有问题，无法自动下载，可能会遇到如下错误：\n#   RuntimeError: No ffmpeg exe could be found.\n#   Install ffmpeg on your system, or set the IMAGEIO_FFMPEG_EXE environment variable.\n# 此时你可以手动下载 ffmpeg 并设置 ffmpeg_path，下载地址：https://www.gyan.dev/ffmpeg/builds/\n\n# Under normal circumstances, ffmpeg is downloaded automatically and detected automatically.\n# However, if there is an issue with your environment that prevents automatic downloading, you might encounter the following error:\n#   RuntimeError: No ffmpeg exe could be found.\n#   Install ffmpeg on your system, or set the IMAGEIO_FFMPEG_EXE environment variable.\n# In such cases, you can manually download ffmpeg and set the ffmpeg_path, download link: https://www.gyan.dev/ffmpeg/builds/\n\n# ffmpeg_path = \"C:\\\\Users\\\\harry\\\\Downloads\\\\ffmpeg.exe\"\n#########################################################################################\n\n# 当视频生成成功后，API服务提供的视频下载接入点，默认为当前服务的地址和监听端口\n# 比如 http://127.0.0.1:8080/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n# 如果你需要使用域名对外提供服务（一般会用nginx做代理），则可以设置为你的域名\n# 比如 https://xxxx.com/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n# endpoint=\"https://xxxx.com\"\n\n# When the video is successfully generated, the API service provides a download endpoint for the video, defaulting to the service's current address and listening port.\n# For example, http://127.0.0.1:8080/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n# If you need to provide the service externally using a domain name (usually done with nginx as a proxy), you can set it to your domain name.\n# For example, https://xxxx.com/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n# endpoint=\"https://xxxx.com\"\nendpoint = \"\"\n\n\n# Video material storage location\n# material_directory = \"\"                    # Indicates that video materials will be downloaded to the default folder, the default folder is ./storage/cache_videos under the current project\n# material_directory = \"/user/harry/videos\"  # Indicates that video materials will be downloaded to a specified folder\n# material_directory = \"task\"                # Indicates that video materials will be downloaded to the current task's folder, this method does not allow sharing of already downloaded video materials\n\n# 视频素材存放位置\n# material_directory = \"\"                    #表示将视频素材下载到默认的文件夹，默认文件夹为当前项目下的 ./storage/cache_videos\n# material_directory = \"/user/harry/videos\"  #表示将视频素材下载到指定的文件夹中\n# material_directory = \"task\"                #表示将视频素材下载到当前任务的文件夹中，这种方式无法共享已经下载的视频素材\n\nmaterial_directory = \"\"\n\n# Used for state management of the task\nenable_redis = false\nredis_host = \"localhost\"\nredis_port = 6379\nredis_db = 0\nredis_password = \"\"\n\n# 文生视频时的最大并发任务数\nmax_concurrent_tasks = 5\n\n\n[whisper]\n# Only effective when subtitle_provider is \"whisper\"\n\n# Run on GPU with FP16\n# model = WhisperModel(model_size, device=\"cuda\", compute_type=\"float16\")\n\n# Run on GPU with INT8\n# model = WhisperModel(model_size, device=\"cuda\", compute_type=\"int8_float16\")\n\n# Run on CPU with INT8\n# model = WhisperModel(model_size, device=\"cpu\", compute_type=\"int8\")\n\n# recommended model_size: \"large-v3\"\nmodel_size = \"large-v3\"\n# if you want to use GPU, set device=\"cuda\"\ndevice = \"CPU\"\ncompute_type = \"int8\"\n\n\n[proxy]\n### Use a proxy to access the Pexels API\n### Format: \"http://<username>:<password>@<proxy>:<port>\"\n### Example: \"http://user:pass@proxy:1234\"\n### Doc: https://requests.readthedocs.io/en/latest/user/advanced/#proxies\n\n# http = \"http://10.10.1.10:3128\"\n# https = \"http://10.10.1.10:1080\"\n\n[azure]\n# Azure Speech API Key\n# Get your API key at https://portal.azure.com/#view/Microsoft_Azure_ProjectOxford/CognitiveServicesHub/~/SpeechServices\nspeech_key = \"\"\nspeech_region = \"\"\n\n[siliconflow]\n# SiliconFlow API Key\n# Get your API key at https://siliconflow.cn\napi_key = \"\"\n\n[ui]\n# UI related settings\n# 是否隐藏日志信息\n# Whether to hide logs in the UI\nhide_log = false\n"}, "6a19e2bb2953d0cecc65400fe1debc941d6b373d": {"t": 1785750568.3703601, "n": 7158, "h": "223c9b3f4ae5098d", "c": "[app]\nvideo_source = \"pexels\" # \"pexels\" or \"pixabay\"\n\n# 是否隐藏配置面板\nhide_config = false\n\n# Pexels API Key\n# Register at https://www.pexels.com/api/ to get your API key.\n# You can use multiple keys to avoid rate limits.\n# For example: pexels_api_keys = [\"123adsf4567adf89\",\"abd1321cd13efgfdfhi\"]\n# 特别注意格式，Key 用英文双引号括起来，多个Key用逗号隔开\npexels_api_keys = []\n\n# Pixabay API Key\n# Register at https://pixabay.com/api/docs/ to get your API key.\n# You can use multiple keys to avoid rate limits.\n# For example: pixabay_api_keys = [\"123adsf4567adf89\",\"abd1321cd13efgfdfhi\"]\n# 特别注意格式，Key 用英文双引号括起来，多个Key用逗号隔开\npixabay_api_keys = []\n\n# 支持的提供商 (Supported providers):\n#   openai\n#   moonshot    (月之暗面)\n#   azure\n#   qwen        (通义千问)\n#   deepseek\n#   gemini\n#   ollama\n#   g4f\n#   oneapi\n#   cloudflare\n#   ernie       (文心一言)\nllm_provider = \"openai\"\n\n########## Ollama Settings\n# No need to set it unless you want to use your own proxy\nollama_base_url = \"\"\n# Check your available models at https://ollama.com/library\nollama_model_name = \"\"\n\n########## OpenAI API Key\n# Get your API key at https://platform.openai.com/api-keys\nopenai_api_key = \"\"\n# No need to set it unless you want to use your own proxy\nopenai_base_url = \"\"\n# Check your available models at https://platform.openai.com/account/limits\nopenai_model_name = \"gpt-4o-mini\"\n\n########## Moonshot API Key\n# Visit https://platform.moonshot.cn/console/api-keys to get your API key.\nmoonshot_api_key = \"\"\nmoonshot_base_url = \"https://api.moonshot.cn/v1\"\nmoonshot_model_name = \"moonshot-v1-8k\"\n\n########## OneAPI API Key\n# Visit https://github.com/songquanpeng/one-api to get your API key\noneapi_api_key = \"\"\noneapi_base_url = \"\"\noneapi_model_name = \"\"\n\n########## G4F\n# Visit https://github.com/xtekky/gpt4free to get more details\n# Supported model list: https://github.com/xtekky/gpt4free/blob/main/g4f/models.py\ng4f_model_name = \"gpt-3.5-turbo\"\n\n########## Azure API Key\n# Visit https://learn.microsoft.com/zh-cn/azure/ai-services/openai/ to get more details\n# API documentation: https://learn.microsoft.com/zh-cn/azure/ai-services/openai/reference\nazure_api_key = \"\"\nazure_base_url = \"\"\nazure_model_name = \"gpt-35-turbo\"        # replace with your model deployment name\nazure_api_version = \"2024-02-15-preview\"\n\n########## Gemini API Key\ngemini_api_key = \"\"\ngemini_model_name = \"gemini-1.0-pro\"\n\n########## Qwen API Key\n# Visit https://dashscope.console.aliyun.com/apiKey to get your API key\n# Visit below links to get more details\n# https://tongyi.aliyun.com/qianwen/\n# https://help.aliyun.com/zh/dashscope/developer-reference/model-introduction\nqwen_api_key = \"\"\nqwen_model_name = \"qwen-max\"\n\n\n########## DeepSeek API Key\n# Visit https://platform.deepseek.com/api_keys to get your API key\ndeepseek_api_key = \"\"\ndeepseek_base_url = \"https://api.deepseek.com\"\ndeepseek_model_name = \"deepseek-chat\"\n\n# Subtitle Provider, \"edge\" or \"whisper\"\n# If empty, the subtitle will not be generated\nsubtitle_provider = \"edge\"\n\n#\n# ImageMagick\n#\n# Once you have installed it, ImageMagick will be automatically detected, except on Windows!\n# On Windows, for example \"C:\\Program Files (x86)\\ImageMagick-7.1.1-Q16-HDRI\\magick.exe\"\n# Download from https://imagemagick.org/archive/binaries/ImageMagick-7.1.1-29-Q16-x64-static.exe\n\n# imagemagick_path = \"C:\\\\Program Files (x86)\\\\ImageMagick-7.1.1-Q16\\\\magick.exe\"\n\n\n#\n# FFMPEG\n#\n# 通常情况下，ffmpeg 会被自动下载，并且会被自动检测到。\n# 但是如果你的环境有问题，无法自动下载，可能会遇到如下错误：\n#   RuntimeError: No ffmpeg exe could be found.\n#   Install ffmpeg on your system, or set the IMAGEIO_FFMPEG_EXE environment variable.\n# 此时你可以手动下载 ffmpeg 并设置 ffmpeg_path，下载地址：https://www.gyan.dev/ffmpeg/builds/\n\n# Under normal circumstances, ffmpeg is downloaded automatically and detected automatically.\n# However, if there is an issue with your environment that prevents automatic downloading, you might encounter the following error:\n#   RuntimeError: No ffmpeg exe could be found.\n#   Install ffmpeg on your system, or set the IMAGEIO_FFMPEG_EXE environment variable.\n# In such cases, you can manually download ffmpeg and set the ffmpeg_path, download link: https://www.gyan.dev/ffmpeg/builds/\n\n# ffmpeg_path = \"C:\\\\Users\\\\harry\\\\Downloads\\\\ffmpeg.exe\"\n#########################################################################################\n\n# 当视频生成成功后，API服务提供的视频下载接入点，默认为当前服务的地址和监听端口\n# 比如 http://127.0.0.1:8080/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n# 如果你需要使用域名对外提供服务（一般会用nginx做代理），则可以设置为你的域名\n# 比如 https://xxxx.com/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n# endpoint=\"https://xxxx.com\"\n\n# When the video is successfully generated, the API service provides a download endpoint for the video, defaulting to the service's current address and listening port.\n# For example, http://127.0.0.1:8080/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n# If you need to provide the service externally using a domain name (usually done with nginx as a proxy), you can set it to your domain name.\n# For example, https://xxxx.com/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n# endpoint=\"https://xxxx.com\"\nendpoint = \"\"\n\n\n# Video material storage location\n# material_directory = \"\"                    # Indicates that video materials will be downloaded to the default folder, the default folder is ./storage/cache_videos under the current project\n# material_directory = \"/user/harry/videos\"  # Indicates that video materials will be downloaded to a specified folder\n# material_directory = \"task\"                # Indicates that video materials will be downloaded to the current task's folder, this method does not allow sharing of already downloaded video materials\n\n# 视频素材存放位置\n# material_directory = \"\"                    #表示将视频素材下载到默认的文件夹，默认文件夹为当前项目下的 ./storage/cache_videos\n# material_directory = \"/user/harry/videos\"  #表示将视频素材下载到指定的文件夹中\n# material_directory = \"task\"                #表示将视频素材下载到当前任务的文件夹中，这种方式无法共享已经下载的视频素材\n\nmaterial_directory = \"\"\n\n# Used for state management of the task\nenable_redis = false\nredis_host = \"localhost\"\nredis_port = 6379\nredis_db = 0\nredis_password = \"\"\n\n# 文生视频时的最大并发任务数\nmax_concurrent_tasks = 5\n\n\n[whisper]\n# Only effective when subtitle_provider is \"whisper\"\n\n# Run on GPU with FP16\n# model = WhisperModel(model_size, device=\"cuda\", compute_type=\"float16\")\n\n# Run on GPU with INT8\n# model = WhisperModel(model_size, device=\"cuda\", compute_type=\"int8_float16\")\n\n# Run on CPU with INT8\n# model = WhisperModel(model_size, device=\"cpu\", compute_type=\"int8\")\n\n# recommended model_size: \"large-v3\"\nmodel_size = \"large-v3\"\n# if you want to use GPU, set device=\"cuda\"\ndevice = \"CPU\"\ncompute_type = \"int8\"\n\n\n[proxy]\n### Use a proxy to access the Pexels API\n### Format: \"http://<username>:<password>@<proxy>:<port>\"\n### Example: \"http://user:pass@proxy:1234\"\n### Doc: https://requests.readthedocs.io/en/latest/user/advanced/#proxies\n\n# http = \"http://10.10.1.10:3128\"\n# https = \"http://10.10.1.10:1080\"\n\n[azure]\n# Azure Speech API Key\n# Get your API key at https://portal.azure.com/#view/Microsoft_Azure_ProjectOxford/CognitiveServicesHub/~/SpeechServices\nspeech_key = \"\"\nspeech_region = \"\"\n\n[ui]\n# UI related settings\n# 是否隐藏日志信息\n# Whether to hide logs in the UI\nhide_log = false\n"}, "47e4cff75808133bed8751be206681abf7816bfa": {"t": 1785750569.4726965, "n": 7893, "h": "cb537e0beb450e19", "c": "[app]\n\n    video_source = \"pexels\"  # \"pexels\" or \"pixabay\"\n\n    # 是否隐藏配置面板\n    # hide_config = false\n\n[user]\n    # 管理员用户名和密码，用于访问基础设置\n    username = \"admin\"\n    password = \"admin\"\n    email = \"admin@example.com\"  # 添加email字段，用于身份验证\n    # Pexels API Key\n    # Register at https://www.pexels.com/api/ to get your API key.\n    # You can use multiple keys to avoid rate limits.\n    # For example: pexels_api_keys = [\"123adsf4567adf89\",\"abd1321cd13efgfdfhi\"]\n    # 特别注意格式，Key 用英文双引号括起来，多个Key用逗号隔开\n    pexels_api_keys = []\n\n    # Pixabay API Key\n    # Register at https://pixabay.com/api/docs/ to get your API key.\n    # You can use multiple keys to avoid rate limits.\n    # For example: pixabay_api_keys = [\"123adsf4567adf89\",\"abd1321cd13efgfdfhi\"]\n    # 特别注意格式，Key 用英文双引号括起来，多个Key用逗号隔开\n    pixabay_api_keys = []\n\n    # 如果你没有 OPENAI API Key，可以使用 g4f 代替，或者使用国内的 Moonshot API\n    # If you don't have an OPENAI API Key, you can use g4f instead\n\n    # 支持的提供商 (Supported providers):\n    #   openai\n    #   moonshot (月之暗面)\n    #   oneapi\n    #   g4f\n    #   azure\n    #   qwen (通义千问)\n    #   gemini\n    llm_provider=\"openai\"\n\n    ########## Ollama Settings\n    # No need to set it unless you want to use your own proxy\n    ollama_base_url = \"\"\n    # Check your available models at https://ollama.com/library\n    ollama_model_name = \"\"\n\n    ########## OpenAI API Key\n    # Get your API key at https://platform.openai.com/api-keys\n    openai_api_key = \"\"\n    # No need to set it unless you want to use your own proxy\n    openai_base_url = \"\"\n    # Check your available models at https://platform.openai.com/account/limits\n    openai_model_name = \"gpt-4-turbo\"\n\n    ########## Moonshot API Key\n    # Visit https://platform.moonshot.cn/console/api-keys to get your API key.\n    moonshot_api_key=\"\"\n    moonshot_base_url = \"https://api.moonshot.cn/v1\"\n    moonshot_model_name = \"moonshot-v1-8k\"\n\n    ########## OneAPI API Key\n    # Visit https://github.com/songquanpeng/one-api to get your API key\n    oneapi_api_key=\"\"\n    oneapi_base_url=\"\"\n    oneapi_model_name=\"\"\n\n    ########## G4F\n    # Visit https://github.com/xtekky/gpt4free to get more details\n    # Supported model list: https://github.com/xtekky/gpt4free/blob/main/g4f/models.py\n    g4f_model_name = \"gpt-3.5-turbo\"\n\n    ########## Azure API Key\n    # Visit https://learn.microsoft.com/zh-cn/azure/ai-services/openai/ to get more details\n    # API documentation: https://learn.microsoft.com/zh-cn/azure/ai-services/openai/reference\n    azure_api_key = \"\"\n    azure_base_url=\"\"\n    azure_model_name=\"gpt-35-turbo\" # replace with your model deployment name\n    azure_api_version = \"2024-02-15-preview\"\n\n    ########## Gemini API Key\n    gemini_api_key=\"\"\n    gemini_model_name = \"gemini-1.0-pro\"\n\n    ########## Qwen API Key\n    # Visit https://dashscope.console.aliyun.com/apiKey to get your API key\n    # Visit below links to get more details\n    # https://tongyi.aliyun.com/qianwen/\n    # https://help.aliyun.com/zh/dashscope/developer-reference/model-introduction\n    qwen_api_key = \"\"\n    qwen_model_name = \"qwen-max\"\n\n\n    ########## DeepSeek API Key\n    # Visit https://platform.deepseek.com/api_keys to get your API key\n    deepseek_api_key = \"\"\n    deepseek_base_url = \"https://api.deepseek.com\"\n    deepseek_model_name = \"deepseek-chat\"\n\n    # Subtitle Provider, \"edge\" or \"whisper\"\n    # If empty, the subtitle will not be generated\n    subtitle_provider = \"edge\"\n\n    #\n    # ImageMagick\n    #\n    # Once you have installed it, ImageMagick will be automatically detected, except on Windows!\n    # On Windows, for example \"C:\\Program Files (x86)\\ImageMagick-7.1.1-Q16-HDRI\\magick.exe\"\n    # Download from https://imagemagick.org/archive/binaries/ImageMagick-7.1.1-29-Q16-x64-static.exe\n\n    # imagemagick_path = \"C:\\\\Program Files (x86)\\\\ImageMagick-7.1.1-Q16\\\\magick.exe\"\n\n\n    #\n    # FFMPEG\n    #\n    # 通常情况下，ffmpeg 会被自动下载，并且会被自动检测到。\n    # 但是如果你的环境有问题，无法自动下载，可能会遇到如下错误：\n    #   RuntimeError: No ffmpeg exe could be found.\n    #   Install ffmpeg on your system, or set the IMAGEIO_FFMPEG_EXE environment variable.\n    # 此时你可以手动下载 ffmpeg 并设置 ffmpeg_path，下载地址：https://www.gyan.dev/ffmpeg/builds/\n\n    # Under normal circumstances, ffmpeg is downloaded automatically and detected automatically.\n    # However, if there is an issue with your environment that prevents automatic downloading, you might encounter the following error:\n    #   RuntimeError: No ffmpeg exe could be found.\n    #   Install ffmpeg on your system, or set the IMAGEIO_FFMPEG_EXE environment variable.\n    # In such cases, you can manually download ffmpeg and set the ffmpeg_path, download link: https://www.gyan.dev/ffmpeg/builds/\n\n    # ffmpeg_path = \"C:\\\\Users\\\\harry\\\\Downloads\\\\ffmpeg.exe\"\n    #########################################################################################\n\n    # 当视频生成成功后，API服务提供的视频下载接入点，默认为当前服务的地址和监听端口\n    # 比如 http://127.0.0.1:8080/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n    # 如果你需要使用域名对外提供服务（一般会用nginx做代理），则可以设置为你的域名\n    # 比如 https://xxxx.com/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n    # endpoint=\"https://xxxx.com\"\n\n    # When the video is successfully generated, the API service provides a download endpoint for the video, defaulting to the service's current address and listening port.\n    # For example, http://127.0.0.1:8080/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n    # If you need to provide the service externally using a domain name (usually done with nginx as a proxy), you can set it to your domain name.\n    # For example, https://xxxx.com/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n    # endpoint=\"https://xxxx.com\"\n    endpoint=\"\"\n\n\n    # Video material storage location\n    # material_directory = \"\"                    # Indicates that video materials will be downloaded to the default folder, the default folder is ./storage/cache_videos under the current project\n    # material_directory = \"/user/harry/videos\"  # Indicates that video materials will be downloaded to a specified folder\n    # material_directory = \"task\"                # Indicates that video materials will be downloaded to the current task's folder, this method does not allow sharing of already downloaded video materials\n\n    # 视频素材存放位置\n    # material_directory = \"\"                    #表示将视频素材下载到默认的文件夹，默认文件夹为当前项目下的 ./storage/cache_videos\n    # material_directory = \"/user/harry/videos\"  #表示将视频素材下载到指定的文件夹中\n    # material_directory = \"task\"                #表示将视频素材下载到当前任务的文件夹中，这种方式无法共享已经下载的视频素材\n\n    material_directory = \"\"\n\n    # Used for state management of the task\n    enable_redis = false\n    redis_host = \"localhost\"\n    redis_port = 6379\n    redis_db = 0\n    redis_password = \"\"\n\n    # 文生视频时的最大并发任务数\n    max_concurrent_tasks = 5\n\n    # webui界面是否显示配置项\n    # webui hide baisc config panel\n    hide_config = false\n\n\n[whisper]\n    # Only effective when subtitle_provider is \"whisper\"\n\n    # Run on GPU with FP16\n    # model = WhisperModel(model_size, device=\"cuda\", compute_type=\"float16\")\n\n    # Run on GPU with INT8\n    # model = WhisperModel(model_size, device=\"cuda\", compute_type=\"int8_float16\")\n\n    # Run on CPU with INT8\n    # model = WhisperModel(model_size, device=\"cpu\", compute_type=\"int8\")\n\n    # recommended model_size: \"large-v3\"\n    model_size=\"large-v3\"\n    # if you want to use GPU, set device=\"cuda\"\n    device=\"CPU\"\n    compute_type=\"int8\"\n\n\n[proxy]\n    ### Use a proxy to access the Pexels API\n    ### Format: \"http://<username>:<password>@<proxy>:<port>\"\n    ### Example: \"http://user:pass@proxy:1234\"\n    ### Doc: https://requests.readthedocs.io/en/latest/user/advanced/#proxies\n\n    # http = \"http://10.10.1.10:3128\"\n    # https = \"http://10.10.1.10:1080\"\n\n[azure]\n    # Azure Speech API Key\n    # Get your API key at https://portal.azure.com/#view/Microsoft_Azure_ProjectOxford/CognitiveServicesHub/~/SpeechServices\n    speech_key=\"\"\n    speech_region=\"\""}, "afb4eff3e5307345f243546675525ec896c3e222": {"t": 1785750570.5870323, "n": 7720, "h": "0f8c1b32f76a159f", "c": "[app]\n\n    video_source = \"pexels\"  # \"pexels\" or \"pixabay\"\n    # Pexels API Key\n    # Register at https://www.pexels.com/api/ to get your API key.\n    # You can use multiple keys to avoid rate limits.\n    # For example: pexels_api_keys = [\"123adsf4567adf89\",\"abd1321cd13efgfdfhi\"]\n    # 特别注意格式，Key 用英文双引号括起来，多个Key用逗号隔开\n    pexels_api_keys = []\n\n    # Pixabay API Key\n    # Register at https://pixabay.com/api/docs/ to get your API key.\n    # You can use multiple keys to avoid rate limits.\n    # For example: pixabay_api_keys = [\"123adsf4567adf89\",\"abd1321cd13efgfdfhi\"]\n    # 特别注意格式，Key 用英文双引号括起来，多个Key用逗号隔开\n    pixabay_api_keys = []\n\n    # 如果你没有 OPENAI API Key，可以使用 g4f 代替，或者使用国内的 Moonshot API\n    # If you don't have an OPENAI API Key, you can use g4f instead\n\n    # 支持的提供商 (Supported providers):\n    #   openai\n    #   moonshot (月之暗面)\n    #   oneapi\n    #   g4f\n    #   azure\n    #   qwen (通义千问)\n    #   gemini\n    llm_provider=\"openai\"\n\n    ########## Ollama Settings\n    # No need to set it unless you want to use your own proxy\n    ollama_base_url = \"\"\n    # Check your available models at https://ollama.com/library\n    ollama_model_name = \"\"\n\n    ########## OpenAI API Key\n    # Get your API key at https://platform.openai.com/api-keys\n    openai_api_key = \"\"\n    # No need to set it unless you want to use your own proxy\n    openai_base_url = \"\"\n    # Check your available models at https://platform.openai.com/account/limits\n    openai_model_name = \"gpt-4-turbo\"\n\n    ########## Moonshot API Key\n    # Visit https://platform.moonshot.cn/console/api-keys to get your API key.\n    moonshot_api_key=\"\"\n    moonshot_base_url = \"https://api.moonshot.cn/v1\"\n    moonshot_model_name = \"moonshot-v1-8k\"\n\n    ########## OneAPI API Key\n    # Visit https://github.com/songquanpeng/one-api to get your API key\n    oneapi_api_key=\"\"\n    oneapi_base_url=\"\"\n    oneapi_model_name=\"\"\n\n    ########## G4F\n    # Visit https://github.com/xtekky/gpt4free to get more details\n    # Supported model list: https://github.com/xtekky/gpt4free/blob/main/g4f/models.py\n    g4f_model_name = \"gpt-3.5-turbo\"\n\n    ########## Azure API Key\n    # Visit https://learn.microsoft.com/zh-cn/azure/ai-services/openai/ to get more details\n    # API documentation: https://learn.microsoft.com/zh-cn/azure/ai-services/openai/reference\n    azure_api_key = \"\"\n    azure_base_url=\"\"\n    azure_model_name=\"gpt-35-turbo\" # replace with your model deployment name\n    azure_api_version = \"2024-02-15-preview\"\n\n    ########## Gemini API Key\n    gemini_api_key=\"\"\n    gemini_model_name = \"gemini-1.0-pro\"\n\n    ########## Qwen API Key\n    # Visit https://dashscope.console.aliyun.com/apiKey to get your API key\n    # Visit below links to get more details\n    # https://tongyi.aliyun.com/qianwen/\n    # https://help.aliyun.com/zh/dashscope/developer-reference/model-introduction\n    qwen_api_key = \"\"\n    qwen_model_name = \"qwen-max\"\n\n\n    ########## DeepSeek API Key\n    # Visit https://platform.deepseek.com/api_keys to get your API key\n    deepseek_api_key = \"\"\n    deepseek_base_url = \"https://api.deepseek.com\"\n    deepseek_model_name = \"deepseek-chat\"\n\n    # Subtitle Provider, \"edge\" or \"whisper\"\n    # If empty, the subtitle will not be generated\n    subtitle_provider = \"edge\"\n\n    #\n    # ImageMagick\n    #\n    # Once you have installed it, ImageMagick will be automatically detected, except on Windows!\n    # On Windows, for example \"C:\\Program Files (x86)\\ImageMagick-7.1.1-Q16-HDRI\\magick.exe\"\n    # Download from https://imagemagick.org/archive/binaries/ImageMagick-7.1.1-29-Q16-x64-static.exe\n\n    # imagemagick_path = \"C:\\\\Program Files (x86)\\\\ImageMagick-7.1.1-Q16\\\\magick.exe\"\n\n\n    #\n    # FFMPEG\n    #\n    # 通常情况下，ffmpeg 会被自动下载，并且会被自动检测到。\n    # 但是如果你的环境有问题，无法自动下载，可能会遇到如下错误：\n    #   RuntimeError: No ffmpeg exe could be found.\n    #   Install ffmpeg on your system, or set the IMAGEIO_FFMPEG_EXE environment variable.\n    # 此时你可以手动下载 ffmpeg 并设置 ffmpeg_path，下载地址：https://www.gyan.dev/ffmpeg/builds/\n\n    # Under normal circumstances, ffmpeg is downloaded automatically and detected automatically.\n    # However, if there is an issue with your environment that prevents automatic downloading, you might encounter the following error:\n    #   RuntimeError: No ffmpeg exe could be found.\n    #   Install ffmpeg on your system, or set the IMAGEIO_FFMPEG_EXE environment variable.\n    # In such cases, you can manually download ffmpeg and set the ffmpeg_path, download link: https://www.gyan.dev/ffmpeg/builds/\n\n    # ffmpeg_path = \"C:\\\\Users\\\\harry\\\\Downloads\\\\ffmpeg.exe\"\n    #########################################################################################\n\n    # 当视频生成成功后，API服务提供的视频下载接入点，默认为当前服务的地址和监听端口\n    # 比如 http://127.0.0.1:8080/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n    # 如果你需要使用域名对外提供服务（一般会用nginx做代理），则可以设置为你的域名\n    # 比如 https://xxxx.com/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n    # endpoint=\"https://xxxx.com\"\n\n    # When the video is successfully generated, the API service provides a download endpoint for the video, defaulting to the service's current address and listening port.\n    # For example, http://127.0.0.1:8080/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n    # If you need to provide the service externally using a domain name (usually done with nginx as a proxy), you can set it to your domain name.\n    # For example, https://xxxx.com/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n    # endpoint=\"https://xxxx.com\"\n    endpoint=\"\"\n\n\n    # Video material storage location\n    # material_directory = \"\"                    # Indicates that video materials will be downloaded to the default folder, the default folder is ./storage/cache_videos under the current project\n    # material_directory = \"/user/harry/videos\"  # Indicates that video materials will be downloaded to a specified folder\n    # material_directory = \"task\"                # Indicates that video materials will be downloaded to the current task's folder, this method does not allow sharing of already downloaded video materials\n\n    # 视频素材存放位置\n    # material_directory = \"\"                    #表示将视频素材下载到默认的文件夹，默认文件夹为当前项目下的 ./storage/cache_videos\n    # material_directory = \"/user/harry/videos\"  #表示将视频素材下载到指定的文件夹中\n    # material_directory = \"task\"                #表示将视频素材下载到当前任务的文件夹中，这种方式无法共享已经下载的视频素材\n\n    material_directory = \"\"\n\n    # Used for state management of the task\n    enable_redis = false\n    redis_host = \"localhost\"\n    redis_port = 6379\n    redis_db = 0\n    redis_password = \"\"\n\n    # 文生视频时的最大并发任务数\n    max_concurrent_tasks = 5\n\n    # webui界面是否显示配置项\n    # webui hide baisc config panel\n    hide_config = false\n\n\n[whisper]\n    # Only effective when subtitle_provider is \"whisper\"\n\n    # Run on GPU with FP16\n    # model = WhisperModel(model_size, device=\"cuda\", compute_type=\"float16\")\n\n    # Run on GPU with INT8\n    # model = WhisperModel(model_size, device=\"cuda\", compute_type=\"int8_float16\")\n\n    # Run on CPU with INT8\n    # model = WhisperModel(model_size, device=\"cpu\", compute_type=\"int8\")\n\n    # recommended model_size: \"large-v3\"\n    model_size=\"large-v3\"\n    # if you want to use GPU, set device=\"cuda\"\n    device=\"CPU\"\n    compute_type=\"int8\"\n\n\n[proxy]\n    ### Use a proxy to access the Pexels API\n    ### Format: \"http://<username>:<password>@<proxy>:<port>\"\n    ### Example: \"http://user:pass@proxy:1234\"\n    ### Doc: https://requests.readthedocs.io/en/latest/user/advanced/#proxies\n\n    # http = \"http://10.10.1.10:3128\"\n    # https = \"http://10.10.1.10:1080\"\n\n[azure]\n    # Azure Speech API Key\n    # Get your API key at https://portal.azure.com/#view/Microsoft_Azure_ProjectOxford/CognitiveServicesHub/~/SpeechServices\n    speech_key=\"\"\n    speech_region=\"\""}, "fee226a14943e49db55e68d0e6caf57b8ed571d6": {"t": 1785750571.6745026, "n": 7482, "h": "da8c97ee75bc6221", "c": "[app]\n    # Pexels API Key\n    # Register at https://www.pexels.com/api/ to get your API key.\n    # You can use multiple keys to avoid rate limits.\n    # For example: pexels_api_keys = [\"123adsf4567adf89\",\"abd1321cd13efgfdfhi\"]\n    # 特别注意格式，Key 用英文双引号括起来，多个Key用逗号隔开\n    pexels_api_keys = []\n\n    # 如果你没有 OPENAI API Key，可以使用 g4f 代替，或者使用国内的 Moonshot API\n    # If you don't have an OPENAI API Key, you can use g4f instead\n\n    # 支持的提供商 (Supported providers):\n    #   openai\n    #   moonshot (月之暗面)\n    #   oneapi\n    #   g4f\n    #   azure\n    #   qwen (通义千问)\n    #   gemini\n    llm_provider=\"openai\"\n\n    ########## Ollama Settings\n    # No need to set it unless you want to use your own proxy\n    ollama_base_url = \"\"\n    # Check your available models at https://ollama.com/library\n    ollama_model_name = \"\"\n\n    ########## OpenAI API Key\n    # Get your API key at https://platform.openai.com/api-keys\n    openai_api_key = \"\"\n    # No need to set it unless you want to use your own proxy\n    openai_base_url = \"\"\n    # Check your available models at https://platform.openai.com/account/limits\n    openai_model_name = \"gpt-4-turbo\"\n\n    ########## Moonshot API Key\n    # Visit https://platform.moonshot.cn/console/api-keys to get your API key.\n    moonshot_api_key=\"\"\n    moonshot_base_url = \"https://api.moonshot.cn/v1\"\n    moonshot_model_name = \"moonshot-v1-8k\"\n\n    ########## OneAPI API Key\n    # Visit https://github.com/songquanpeng/one-api to get your API key\n    oneapi_api_key=\"\"\n    oneapi_base_url=\"\"\n    oneapi_model_name=\"\"\n\n    ########## G4F\n    # Visit https://github.com/xtekky/gpt4free to get more details\n    # Supported model list: https://github.com/xtekky/gpt4free/blob/main/g4f/models.py\n    g4f_model_name = \"gpt-3.5-turbo\"\n\n    ########## Azure API Key\n    # Visit https://learn.microsoft.com/zh-cn/azure/ai-services/openai/ to get more details\n    # API documentation: https://learn.microsoft.com/zh-cn/azure/ai-services/openai/reference\n    azure_api_key = \"\"\n    azure_base_url=\"\"\n    azure_model_name=\"gpt-35-turbo\" # replace with your model deployment name\n    azure_api_version = \"2024-02-15-preview\"\n\n    ########## Gemini API Key\n    gemini_api_key=\"\"\n    gemini_model_name = \"gemini-1.0-pro\"\n\n    ########## Qwen API Key\n    # Visit https://dashscope.console.aliyun.com/apiKey to get your API key\n    # Visit below links to get more details\n    # https://tongyi.aliyun.com/qianwen/\n    # https://help.aliyun.com/zh/dashscope/developer-reference/model-introduction\n    qwen_api_key = \"\"\n    qwen_model_name = \"qwen-max\" \n\n\n    ########## DeepSeek API Key\n    # Visit https://platform.deepseek.com/api_keys to get your API key\n    deepseek_api_key = \"\"\n    deepseek_base_url = \"https://api.deepseek.com\"\n    deepseek_model_name = \"deepseek-chat\"\n\n    # Subtitle Provider, \"edge\" or \"whisper\"\n    # If empty, the subtitle will not be generated\n    subtitle_provider = \"edge\"\n\n    #\n    # ImageMagick\n    #\n    # Once you have installed it, ImageMagick will be automatically detected, except on Windows!\n    # On Windows, for example \"C:\\Program Files (x86)\\ImageMagick-7.1.1-Q16-HDRI\\magick.exe\"\n    # Download from https://imagemagick.org/archive/binaries/ImageMagick-7.1.1-29-Q16-x64-static.exe\n\n    # imagemagick_path = \"C:\\\\Program Files (x86)\\\\ImageMagick-7.1.1-Q16\\\\magick.exe\"\n\n\n    #\n    # FFMPEG\n    #\n    # 通常情况下，ffmpeg 会被自动下载，并且会被自动检测到。\n    # 但是如果你的环境有问题，无法自动下载，可能会遇到如下错误：\n    #   RuntimeError: No ffmpeg exe could be found.\n    #   Install ffmpeg on your system, or set the IMAGEIO_FFMPEG_EXE environment variable.\n    # 此时你可以手动下载 ffmpeg 并设置 ffmpeg_path，下载地址：https://www.gyan.dev/ffmpeg/builds/\n\n    # Under normal circumstances, ffmpeg is downloaded automatically and detected automatically.\n    # However, if there is an issue with your environment that prevents automatic downloading, you might encounter the following error:\n    #   RuntimeError: No ffmpeg exe could be found.\n    #   Install ffmpeg on your system, or set the IMAGEIO_FFMPEG_EXE environment variable.\n    # In such cases, you can manually download ffmpeg and set the ffmpeg_path, download link: https://www.gyan.dev/ffmpeg/builds/\n\n    # ffmpeg_path = \"C:\\\\Users\\\\harry\\\\Downloads\\\\ffmpeg.exe\"\n    #########################################################################################\n\n    # 当视频生成成功后，API服务提供的视频下载接入点，默认为当前服务的地址和监听端口\n    # 比如 http://127.0.0.1:8080/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n    # 如果你需要使用域名对外提供服务（一般会用nginx做代理），则可以设置为你的域名\n    # 比如 https://xxxx.com/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n    # endpoint=\"https://xxxx.com\"\n\n    # When the video is successfully generated, the API service provides a download endpoint for the video, defaulting to the service's current address and listening port.\n    # For example, http://127.0.0.1:8080/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n    # If you need to provide the service externally using a domain name (usually done with nginx as a proxy), you can set it to your domain name.\n    # For example, https://xxxx.com/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n    # endpoint=\"https://xxxx.com\"\n    endpoint=\"\"\n\n\n    # Video material storage location\n    # material_directory = \"\"                    # Indicates that video materials will be downloaded to the default folder, the default folder is ./storage/cache_videos under the current project\n    # material_directory = \"/user/harry/videos\"  # Indicates that video materials will be downloaded to a specified folder\n    # material_directory = \"task\"                # Indicates that video materials will be downloaded to the current task's folder, this method does not allow sharing of already downloaded video materials\n\n    # 视频素材存放位置\n    # material_directory = \"\"                    #表示将视频素材下载到默认的文件夹，默认文件夹为当前项目下的 ./storage/cache_videos\n    # material_directory = \"/user/harry/videos\"  #表示将视频素材下载到指定的文件夹中\n    # material_directory = \"task\"                #表示将视频素材下载到当前任务的文件夹中，这种方式无法共享已经下载的视频素材\n\n    material_directory = \"\"\n\n    # Used for state management of the task\n    enable_redis = false\n    redis_host = \"localhost\"\n    redis_port = 6379\n    redis_db = 0\n    redis_password = \"\"\n\n    # 文生视频时的最大并发任务数\n    max_concurrent_tasks = 5\n\n    # webui界面是否显示配置项\n    # webui hide baisc config panel\n    hide_config = false\n\n\n[whisper]\n    # Only effective when subtitle_provider is \"whisper\"\n\n    # Run on GPU with FP16\n    # model = WhisperModel(model_size, device=\"cuda\", compute_type=\"float16\")\n\n    # Run on GPU with INT8\n    # model = WhisperModel(model_size, device=\"cuda\", compute_type=\"int8_float16\")\n\n    # Run on CPU with INT8\n    # model = WhisperModel(model_size, device=\"cpu\", compute_type=\"int8\")\n\n    # recommended model_size: \"large-v3\"\n    model_size=\"large-v3\"\n    # if you want to use GPU, set device=\"cuda\"\n    device=\"CPU\"\n    compute_type=\"int8\"\n\n[pexels]\n    video_concat_mode=\"sequential\" # \"random\" or \"sequential\"\n    [pexels.proxies]\n        ### Use a proxy to access the Pexels API\n        ### Format: \"http://<username>:<password>@<proxy>:<port>\"\n        ### Example: \"http://user:pass@proxy:1234\"\n        ### Doc: https://requests.readthedocs.io/en/latest/user/advanced/#proxies\n        # http = \"http://10.10.1.10:3128\"\n        # https = \"http://10.10.1.10:1080\"\n\n[azure]\n    # Azure Speech API Key\n    # Get your API key at https://portal.azure.com/#view/Microsoft_Azure_ProjectOxford/CognitiveServicesHub/~/SpeechServices\n    speech_key=\"\"\n    speech_region=\"\""}, "fb3aadeccc7522c5bec53b4fa2a610e350a1cdf8": {"t": 1785750572.7565289, "n": 7259, "h": "7e8c64d3357be167", "c": "[app]\n    # Pexels API Key\n    # Register at https://www.pexels.com/api/ to get your API key.\n    # You can use multiple keys to avoid rate limits.\n    # For example: pexels_api_keys = [\"123adsf4567adf89\",\"abd1321cd13efgfdfhi\"]\n    # 特别注意格式，Key 用英文双引号括起来，多个Key用逗号隔开\n    pexels_api_keys = []\n\n    # 如果你没有 OPENAI API Key，可以使用 g4f 代替，或者使用国内的 Moonshot API\n    # If you don't have an OPENAI API Key, you can use g4f instead\n\n    # 支持的提供商 (Supported providers):\n    #   openai\n    #   moonshot (月之暗面)\n    #   oneapi\n    #   g4f\n    #   azure\n    #   qwen (通义千问)\n    #   gemini\n    llm_provider=\"openai\"\n\n    ########## Ollama Settings\n    # No need to set it unless you want to use your own proxy\n    ollama_base_url = \"\"\n    # Check your available models at https://ollama.com/library\n    ollama_model_name = \"\"\n\n    ########## OpenAI API Key\n    # Get your API key at https://platform.openai.com/api-keys\n    openai_api_key = \"\"\n    # No need to set it unless you want to use your own proxy\n    openai_base_url = \"\"\n    # Check your available models at https://platform.openai.com/account/limits\n    openai_model_name = \"gpt-4-turbo\"\n\n    ########## Moonshot API Key\n    # Visit https://platform.moonshot.cn/console/api-keys to get your API key.\n    moonshot_api_key=\"\"\n    moonshot_base_url = \"https://api.moonshot.cn/v1\"\n    moonshot_model_name = \"moonshot-v1-8k\"\n\n    ########## OneAPI API Key\n    # Visit https://github.com/songquanpeng/one-api to get your API key\n    oneapi_api_key=\"\"\n    oneapi_base_url=\"\"\n    oneapi_model_name=\"\"\n\n    ########## G4F\n    # Visit https://github.com/xtekky/gpt4free to get more details\n    # Supported model list: https://github.com/xtekky/gpt4free/blob/main/g4f/models.py\n    g4f_model_name = \"gpt-3.5-turbo\"\n\n    ########## Azure API Key\n    # Visit https://learn.microsoft.com/zh-cn/azure/ai-services/openai/ to get more details\n    # API documentation: https://learn.microsoft.com/zh-cn/azure/ai-services/openai/reference\n    azure_api_key = \"\"\n    azure_base_url=\"\"\n    azure_model_name=\"gpt-35-turbo\" # replace with your model deployment name\n    azure_api_version = \"2024-02-15-preview\"\n\n    ########## Gemini API Key\n    gemini_api_key=\"\"\n    gemini_model_name = \"gemini-1.0-pro\"\n\n    ########## Qwen API Key\n    # Visit https://dashscope.console.aliyun.com/apiKey to get your API key\n    # Visit below links to get more details\n    # https://tongyi.aliyun.com/qianwen/\n    # https://help.aliyun.com/zh/dashscope/developer-reference/model-introduction\n    qwen_api_key = \"\"\n    qwen_model_name = \"qwen-max\" \n\n\n    # Subtitle Provider, \"edge\" or \"whisper\"\n    # If empty, the subtitle will not be generated\n    subtitle_provider = \"edge\"\n\n    #\n    # ImageMagick\n    #\n    # Once you have installed it, ImageMagick will be automatically detected, except on Windows!\n    # On Windows, for example \"C:\\Program Files (x86)\\ImageMagick-7.1.1-Q16-HDRI\\magick.exe\"\n    # Download from https://imagemagick.org/archive/binaries/ImageMagick-7.1.1-29-Q16-x64-static.exe\n\n    # imagemagick_path = \"C:\\\\Program Files (x86)\\\\ImageMagick-7.1.1-Q16\\\\magick.exe\"\n\n\n    #\n    # FFMPEG\n    #\n    # 通常情况下，ffmpeg 会被自动下载，并且会被自动检测到。\n    # 但是如果你的环境有问题，无法自动下载，可能会遇到如下错误：\n    #   RuntimeError: No ffmpeg exe could be found.\n    #   Install ffmpeg on your system, or set the IMAGEIO_FFMPEG_EXE environment variable.\n    # 此时你可以手动下载 ffmpeg 并设置 ffmpeg_path，下载地址：https://www.gyan.dev/ffmpeg/builds/\n\n    # Under normal circumstances, ffmpeg is downloaded automatically and detected automatically.\n    # However, if there is an issue with your environment that prevents automatic downloading, you might encounter the following error:\n    #   RuntimeError: No ffmpeg exe could be found.\n    #   Install ffmpeg on your system, or set the IMAGEIO_FFMPEG_EXE environment variable.\n    # In such cases, you can manually download ffmpeg and set the ffmpeg_path, download link: https://www.gyan.dev/ffmpeg/builds/\n\n    # ffmpeg_path = \"C:\\\\Users\\\\harry\\\\Downloads\\\\ffmpeg.exe\"\n    #########################################################################################\n\n    # 当视频生成成功后，API服务提供的视频下载接入点，默认为当前服务的地址和监听端口\n    # 比如 http://127.0.0.1:8080/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n    # 如果你需要使用域名对外提供服务（一般会用nginx做代理），则可以设置为你的域名\n    # 比如 https://xxxx.com/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n    # endpoint=\"https://xxxx.com\"\n\n    # When the video is successfully generated, the API service provides a download endpoint for the video, defaulting to the service's current address and listening port.\n    # For example, http://127.0.0.1:8080/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n    # If you need to provide the service externally using a domain name (usually done with nginx as a proxy), you can set it to your domain name.\n    # For example, https://xxxx.com/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4\n    # endpoint=\"https://xxxx.com\"\n    endpoint=\"\"\n\n\n    # Video material storage location\n    # material_directory = \"\"                    # Indicates that video materials will be downloaded to the default folder, the default folder is ./storage/cache_videos under the current project\n    # material_directory = \"/user/harry/videos\"  # Indicates that video materials will be downloaded to a specified folder\n    # material_directory = \"task\"                # Indicates that video materials will be downloaded to the current task's folder, this method does not allow sharing of already downloaded video materials\n\n    # 视频素材存放位置\n    # material_directory = \"\"                    #表示将视频素材下载到默认的文件夹，默认文件夹为当前项目下的 ./storage/cache_videos\n    # material_directory = \"/user/harry/videos\"  #表示将视频素材下载到指定的文件夹中\n    # material_directory = \"task\"                #表示将视频素材下载到当前任务的文件夹中，这种方式无法共享已经下载的视频素材\n\n    material_directory = \"\"\n\n    # Used for state management of the task\n    enable_redis = false\n    redis_host = \"localhost\"\n    redis_port = 6379\n    redis_db = 0\n    redis_password = \"\"\n\n    # 文生视频时的最大并发任务数\n    max_concurrent_tasks = 5\n\n    # webui界面是否显示配置项\n    # webui hide baisc config panel\n    hide_config = false\n\n\n[whisper]\n    # Only effective when subtitle_provider is \"whisper\"\n\n    # Run on GPU with FP16\n    # model = WhisperModel(model_size, device=\"cuda\", compute_type=\"float16\")\n\n    # Run on GPU with INT8\n    # model = WhisperModel(model_size, device=\"cuda\", compute_type=\"int8_float16\")\n\n    # Run on CPU with INT8\n    # model = WhisperModel(model_size, device=\"cpu\", compute_type=\"int8\")\n\n    # recommended model_size: \"large-v3\"\n    model_size=\"large-v3\"\n    # if you want to use GPU, set device=\"cuda\"\n    device=\"CPU\"\n    compute_type=\"int8\"\n\n[pexels]\n    video_concat_mode=\"sequential\" # \"random\" or \"sequential\"\n    [pexels.proxies]\n        ### Use a proxy to access the Pexels API\n        ### Format: \"http://<username>:<password>@<proxy>:<port>\"\n        ### Example: \"http://user:pass@proxy:1234\"\n        ### Doc: https://requests.readthedocs.io/en/latest/user/advanced/#proxies\n        # http = \"http://10.10.1.10:3128\"\n        # https = \"http://10.10.1.10:1080\"\n\n[azure]\n    # Azure Speech API Key\n    # Get your API key at https://portal.azure.com/#view/Microsoft_Azure_ProjectOxford/CognitiveServicesHub/~/SpeechServices\n    speech_key=\"\"\n    speech_region=\"\""}}}}