Wan AI Wan 2.6 API | 定价与文档

wan-ai/wan-2-6/video-to-video

根据提示词和 1～3 段参考视频生成 5 秒或 10 秒视频，并精确控制尺寸、镜头类型、随机种子、反向提示词和音频。

1. 快速开始

使用 RunComfy 的 API 运行 wan-ai/wan-2-6/video-to-video。可接受的输入与输出请参阅模型的数据结构说明。

curl --request POST \
  --url https://model-api.runcomfy.net/v1/models/wan-ai/wan-2-6/video-to-video \
  --header "Content-Type: application/json" \
  --header "Authorization: Bearer <token>" \
  --data '{
    "prompt": "Overall Description: This video depicts a nostalgic, cinematic journey through a sun-drenched vintage street during the golden hour. The atmosphere is warm, peaceful, and reminiscent of an old film, focusing on the interplay of light, shadow, and historical architecture. \n Shot 1 [0-4 seconds]: A slow, sweeping tracking shot moves through the vintage street, capturing the golden-hour glow. character1 is walking leisurely along the sidewalk, bathed in warm sunlight. The lens flares dance as the light filters through the gaps between historic buildings, casting long, dramatic shadows around character1. \nShot 2 [4-7 seconds]: The camera continues to track as a classic car glides smoothly across the frame near character1. The car's polished surface reflects the warm hues of the setting sun, creating a contrast with the textured old buildings. \nShot 3 [7-10 seconds]: The focus shifts to the atmospheric details. Dust particles shimmer in the light around character1. The scene evokes a deep sense of nostalgia as character1 moves in the background, completing the cinematic vintage atmosphere.",
    "reference_video_url_1": "https://playgrounds-storage-public.runcomfy.net/tools/7278/media-files/reference_video_1.mp4"
  }'

2. 身份验证

将 YOUR_API_TOKEN 环境变量设置为您的 API 密钥（在个人资料中管理密钥），并在每个请求的 Authorization 标头中以 Bearer 令牌形式携带： Authorization: Bearer $YOUR_API_TOKEN。

3. API 参考

提交请求

提交异步生成任务，将立即获得 request_id 以及用于查询状态、获取结果和取消的 URL。

curl --request POST \
  --url https://model-api.runcomfy.net/v1/models/wan-ai/wan-2-6/video-to-video \
  --header "Content-Type: application/json" \
  --header "Authorization: Bearer <token>" \
  --data '{
    "prompt": "Overall Description: This video depicts a nostalgic, cinematic journey through a sun-drenched vintage street during the golden hour. The atmosphere is warm, peaceful, and reminiscent of an old film, focusing on the interplay of light, shadow, and historical architecture. \n Shot 1 [0-4 seconds]: A slow, sweeping tracking shot moves through the vintage street, capturing the golden-hour glow. character1 is walking leisurely along the sidewalk, bathed in warm sunlight. The lens flares dance as the light filters through the gaps between historic buildings, casting long, dramatic shadows around character1. \nShot 2 [4-7 seconds]: The camera continues to track as a classic car glides smoothly across the frame near character1. The car's polished surface reflects the warm hues of the setting sun, creating a contrast with the textured old buildings. \nShot 3 [7-10 seconds]: The focus shifts to the atmospheric details. Dust particles shimmer in the light around character1. The scene evokes a deep sense of nostalgia as character1 moves in the background, completing the cinematic vintage atmosphere.",
    "reference_video_url_1": "https://playgrounds-storage-public.runcomfy.net/tools/7278/media-files/reference_video_1.mp4"
  }'

查询请求状态

根据 request_id 获取当前状态（"in_queue"、"in_progress"、"completed" 或 "cancelled"）。

curl --request GET \
  --url https://model-api.runcomfy.net/v1/requests/{request_id}/status \
  --header "Authorization: Bearer <token>"

获取请求结果

获取指定 request_id 的最终输出与元数据；若任务未完成，响应会返回当前状态，便于继续轮询。

curl --request GET \
  --url https://model-api.runcomfy.net/v1/requests/{request_id}/result \
  --header "Authorization: Bearer <token>"

取消请求

通过 request_id 取消排队中的任务；进行中的任务无法取消。

curl --request POST \
  --url https://model-api.runcomfy.net/v1/requests/{request_id}/cancel \
  --header "Authorization: Bearer <token>"

4. 文件输入

托管文件（URL）

请提供可公网访问的 HTTPS 地址。确保目标主机允许服务端拉取（无需登录或 Cookie）、未被限流或拦截爬虫。建议：图片 ≤ 50 MB（约 4K），视频 ≤ 100 MB（约 720p 下 2–5 分钟）。私有资源请使用稳定或预签名 URL。

5. 数据结构

输入结构

{
  "type": "object",
  "title": "输入结构",
  "required": [
    "prompt",
    "img_url",
    "reference_video_url_1"
  ],
  "properties": {
    "prompt": {
      "title": "提示词",
      "description": "少于 1,500 个字符。按参考视频的输入顺序，用 `character1`、`character2`、`character3` 指代对应视频；即使只有 1 段，也要写 `character1`。",
      "type": "string",
      "default": "Overall Description: This video depicts a nostalgic, cinematic journey through a sun-drenched vintage street during the golden hour. The atmosphere is warm, peaceful, and reminiscent of an old film, focusing on the interplay of light, shadow, and historical architecture. \n Shot 1 [0-4 seconds]: A slow, sweeping tracking shot moves through the vintage street, capturing the golden-hour glow. character1 is walking leisurely along the sidewalk, bathed in warm sunlight. The lens flares dance as the light filters through the gaps between historic buildings, casting long, dramatic shadows around character1. \nShot 2 [4-7 seconds]: The camera continues to track as a classic car glides smoothly across the frame near character1. The car's polished surface reflects the warm hues of the setting sun, creating a contrast with the textured old buildings. \nShot 3 [7-10 seconds]: The focus shifts to the atmospheric details. Dust particles shimmer in the light around character1. The scene evokes a deep sense of nostalgia as character1 moves in the background, completing the cinematic vintage atmosphere."
    },
    "reference_video_url_1": {
      "title": "参考视频 1",
      "description": "支持 MP4、MOV；时长 2～30 秒；小于 100 MB。仅使用此输入时，可用参考片段最长为 5 秒。",
      "type": "string",
      "default": "https://playgrounds-storage-public.runcomfy.net/tools/7278/media-files/reference_video_1.mp4"
    },
    "reference_video_url_2": {
      "title": "参考视频 2",
      "description": "支持 MP4、MOV；时长 2～30 秒；小于 100 MB。与参考视频 1 一起使用时，每段可用参考片段最长为 2.5 秒。",
      "type": "string"
    },
    "reference_video_url_3": {
      "title": "参考视频 3",
      "description": "支持 MP4、MOV；时长 2～30 秒；小于 100 MB。三段参考视频一起使用时，每段可用参考片段最长为 1.66 秒。",
      "type": "string"
    },
    "duration": {
      "title": "时长",
      "description": "",
      "type": "integer",
      "enum": [
        5,
        10
      ],
      "default": 5
    },
    "size": {
      "title": "分辨率",
      "description": "",
      "type": "string",
      "enum": [
        "1280*720",
        "720*1280",
        "960*960",
        "1088*832",
        "832*1088",
        "1920*1080",
        "1080*1920",
        "1440*1440",
        "1632*1248",
        "1248*1632"
      ],
      "default": "1280*720"
    },
    "shot_type": {
      "title": "镜头类型",
      "description": "镜头类型。",
      "type": "string",
      "enum": [
        "multi",
        "single"
      ],
      "default": "multi"
    },
    "negative_prompt": {
      "title": "反向提示词",
      "description": "",
      "type": "string"
    },
    "seed": {
      "title": "随机种子",
      "description": "",
      "type": "integer",
      "maximum": 2147483647,
      "minimum": 0
    },
    "audio": {
      "title": "生成音频",
      "description": "",
      "type": "boolean",
      "default": true
    }
  }
}

输出结构

{
  "output": {
    "type": "object",
    "properties": {
      "image": {
        "type": "string",
        "format": "uri",
        "description": "单张图片 URL"
      },
      "video": {
        "type": "string",
        "format": "uri",
        "description": "单个视频 URL"
      },
      "images": {
        "type": "array",
        "description": "多张图片 URL",
        "items": {
          "type": "string",
          "format": "uri"
        }
      },
      "videos": {
        "type": "array",
        "description": "多个视频 URL",
        "items": {
          "type": "string",
          "format": "uri"
        }
      }
    }
  }
}

RunComfy

RunComfy 是首选的 ComfyUI 平台，提供 ComfyUI 在线环境和服务，以及 ComfyUI 工作流具有惊艳的视觉效果。 RunComfy还提供 AI Models, 帮助艺术家利用最新的AI工具创作出令人惊叹的艺术作品。

1. 快速开始

使用 RunComfy 的 API 运行 wan-ai/wan-2-6/video-to-video。可接受的输入与输出请参阅模型的数据结构说明。

curl --request POST \
  --url https://model-api.runcomfy.net/v1/models/wan-ai/wan-2-6/video-to-video \
  --header "Content-Type: application/json" \
  --header "Authorization: Bearer <token>" \
  --data '{
    "prompt": "Overall Description: This video depicts a nostalgic, cinematic journey through a sun-drenched vintage street during the golden hour. The atmosphere is warm, peaceful, and reminiscent of an old film, focusing on the interplay of light, shadow, and historical architecture. \n Shot 1 [0-4 seconds]: A slow, sweeping tracking shot moves through the vintage street, capturing the golden-hour glow. character1 is walking leisurely along the sidewalk, bathed in warm sunlight. The lens flares dance as the light filters through the gaps between historic buildings, casting long, dramatic shadows around character1. \nShot 2 [4-7 seconds]: The camera continues to track as a classic car glides smoothly across the frame near character1. The car's polished surface reflects the warm hues of the setting sun, creating a contrast with the textured old buildings. \nShot 3 [7-10 seconds]: The focus shifts to the atmospheric details. Dust particles shimmer in the light around character1. The scene evokes a deep sense of nostalgia as character1 moves in the background, completing the cinematic vintage atmosphere.",
    "reference_video_url_1": "https://playgrounds-storage-public.runcomfy.net/tools/7278/media-files/reference_video_1.mp4"
  }'

3. API 参考

提交请求

提交异步生成任务，将立即获得 request_id 以及用于查询状态、获取结果和取消的 URL。

curl --request POST \
  --url https://model-api.runcomfy.net/v1/models/wan-ai/wan-2-6/video-to-video \
  --header "Content-Type: application/json" \
  --header "Authorization: Bearer <token>" \
  --data '{
    "prompt": "Overall Description: This video depicts a nostalgic, cinematic journey through a sun-drenched vintage street during the golden hour. The atmosphere is warm, peaceful, and reminiscent of an old film, focusing on the interplay of light, shadow, and historical architecture. \n Shot 1 [0-4 seconds]: A slow, sweeping tracking shot moves through the vintage street, capturing the golden-hour glow. character1 is walking leisurely along the sidewalk, bathed in warm sunlight. The lens flares dance as the light filters through the gaps between historic buildings, casting long, dramatic shadows around character1. \nShot 2 [4-7 seconds]: The camera continues to track as a classic car glides smoothly across the frame near character1. The car's polished surface reflects the warm hues of the setting sun, creating a contrast with the textured old buildings. \nShot 3 [7-10 seconds]: The focus shifts to the atmospheric details. Dust particles shimmer in the light around character1. The scene evokes a deep sense of nostalgia as character1 moves in the background, completing the cinematic vintage atmosphere.",
    "reference_video_url_1": "https://playgrounds-storage-public.runcomfy.net/tools/7278/media-files/reference_video_1.mp4"
  }'

查询请求状态

根据 request_id 获取当前状态（"in_queue"、"in_progress"、"completed" 或 "cancelled"）。

curl --request GET \
  --url https://model-api.runcomfy.net/v1/requests/{request_id}/status \
  --header "Authorization: Bearer <token>"

获取请求结果

获取指定 request_id 的最终输出与元数据；若任务未完成，响应会返回当前状态，便于继续轮询。

curl --request GET \
  --url https://model-api.runcomfy.net/v1/requests/{request_id}/result \
  --header "Authorization: Bearer <token>"

取消请求

通过 request_id 取消排队中的任务；进行中的任务无法取消。

curl --request POST \
  --url https://model-api.runcomfy.net/v1/requests/{request_id}/cancel \
  --header "Authorization: Bearer <token>"

4. 文件输入

托管文件（URL）

5. 数据结构

输入结构

{
  "type": "object",
  "title": "输入结构",
  "required": [
    "prompt",
    "img_url",
    "reference_video_url_1"
  ],
  "properties": {
    "prompt": {
      "title": "提示词",
      "description": "少于 1,500 个字符。按参考视频的输入顺序，用 `character1`、`character2`、`character3` 指代对应视频；即使只有 1 段，也要写 `character1`。",
      "type": "string",
      "default": "Overall Description: This video depicts a nostalgic, cinematic journey through a sun-drenched vintage street during the golden hour. The atmosphere is warm, peaceful, and reminiscent of an old film, focusing on the interplay of light, shadow, and historical architecture. \n Shot 1 [0-4 seconds]: A slow, sweeping tracking shot moves through the vintage street, capturing the golden-hour glow. character1 is walking leisurely along the sidewalk, bathed in warm sunlight. The lens flares dance as the light filters through the gaps between historic buildings, casting long, dramatic shadows around character1. \nShot 2 [4-7 seconds]: The camera continues to track as a classic car glides smoothly across the frame near character1. The car's polished surface reflects the warm hues of the setting sun, creating a contrast with the textured old buildings. \nShot 3 [7-10 seconds]: The focus shifts to the atmospheric details. Dust particles shimmer in the light around character1. The scene evokes a deep sense of nostalgia as character1 moves in the background, completing the cinematic vintage atmosphere."
    },
    "reference_video_url_1": {
      "title": "参考视频 1",
      "description": "支持 MP4、MOV；时长 2～30 秒；小于 100 MB。仅使用此输入时，可用参考片段最长为 5 秒。",
      "type": "string",
      "default": "https://playgrounds-storage-public.runcomfy.net/tools/7278/media-files/reference_video_1.mp4"
    },
    "reference_video_url_2": {
      "title": "参考视频 2",
      "description": "支持 MP4、MOV；时长 2～30 秒；小于 100 MB。与参考视频 1 一起使用时，每段可用参考片段最长为 2.5 秒。",
      "type": "string"
    },
    "reference_video_url_3": {
      "title": "参考视频 3",
      "description": "支持 MP4、MOV；时长 2～30 秒；小于 100 MB。三段参考视频一起使用时，每段可用参考片段最长为 1.66 秒。",
      "type": "string"
    },
    "duration": {
      "title": "时长",
      "description": "",
      "type": "integer",
      "enum": [
        5,
        10
      ],
      "default": 5
    },
    "size": {
      "title": "分辨率",
      "description": "",
      "type": "string",
      "enum": [
        "1280*720",
        "720*1280",
        "960*960",
        "1088*832",
        "832*1088",
        "1920*1080",
        "1080*1920",
        "1440*1440",
        "1632*1248",
        "1248*1632"
      ],
      "default": "1280*720"
    },
    "shot_type": {
      "title": "镜头类型",
      "description": "镜头类型。",
      "type": "string",
      "enum": [
        "multi",
        "single"
      ],
      "default": "multi"
    },
    "negative_prompt": {
      "title": "反向提示词",
      "description": "",
      "type": "string"
    },
    "seed": {
      "title": "随机种子",
      "description": "",
      "type": "integer",
      "maximum": 2147483647,
      "minimum": 0
    },
    "audio": {
      "title": "生成音频",
      "description": "",
      "type": "boolean",
      "default": true
    }
  }
}

输出结构

{
  "output": {
    "type": "object",
    "properties": {
      "image": {
        "type": "string",
        "format": "uri",
        "description": "单张图片 URL"
      },
      "video": {
        "type": "string",
        "format": "uri",
        "description": "单个视频 URL"
      },
      "images": {
        "type": "array",
        "description": "多张图片 URL",
        "items": {
          "type": "string",
          "format": "uri"
        }
      },
      "videos": {
        "type": "array",
        "description": "多个视频 URL",
        "items": {
          "type": "string",
          "format": "uri"
        }
      }
    }
  }
}

根据提示词和 1～3 段参考视频生成 5 秒或 10 秒视频，并精确控制尺寸、镜头类型、随机种子、反向提示词和音频。

目录

1. 快速开始

2. 身份验证

3. API 参考

提交请求

查询请求状态

获取请求结果

取消请求

4. 文件输入

托管文件（URL）

5. 数据结构

输入结构

输出结构

根据提示词和 1～3 段参考视频生成 5 秒或 10 秒视频，并精确控制尺寸、镜头类型、随机种子、反向提示词和音频。

目录

1. 快速开始

2. 身份验证

3. API 参考

提交请求

查询请求状态

获取请求结果

取消请求

4. 文件输入

托管文件（URL）

5. 数据结构

输入结构

输出结构

Wan 2.6 参考视频生视频：最多支持 3 段参考视频 | RunComfy

根据提示词和 1～3 段参考视频生成 5 秒或 10 秒视频，并精确控制尺寸、镜头类型、随机种子、反向提示词和音频。

目录

1. 快速开始

2. 身份验证

3. API 参考

提交请求

查询请求状态

获取请求结果

取消请求

4. 文件输入

托管文件（URL）

5. 数据结构

输入结构

输出结构

Wan 2.6 参考视频生视频：最多支持 3 段参考视频 | RunComfy

根据提示词和 1～3 段参考视频生成 5 秒或 10 秒视频，并精确控制尺寸、镜头类型、随机种子、反向提示词和音频。

目录

1. 快速开始

2. 身份验证

3. API 参考

提交请求

查询请求状态

获取请求结果

取消请求

4. 文件输入

托管文件（URL）

5. 数据结构

输入结构

输出结构