Community Wan 2.2 FLF2V API | 定价与文档

community/wan-2-2/first-last-frame

Wan 2.2 FLF2V 以两张图像（起始帧和结束帧）为输入，利用 wan2.2 I2V 高/低噪声模型和可选提示词，生成流畅自然的插帧视频。

1. 快速开始

使用 RunComfy 的 API 运行 community/wan-2-2/first-last-frame。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/community/wan-2-2/first-last-frame \
  --header "Content-Type: application/json" \
  --header "Authorization: Bearer <token>" \
  --data '{
    "62_image": "Runcomfy_Example_1259_2.png",
    "6_text": "Puppy, playing, happy, barking, joyful",
    "68_image": "Runcomfy_Example_1259_1.png"
  }'

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/community/wan-2-2/first-last-frame \
  --header "Content-Type: application/json" \
  --header "Authorization: Bearer <token>" \
  --data '{
    "62_image": "Runcomfy_Example_1259_2.png",
    "6_text": "Puppy, playing, happy, barking, joyful",
    "68_image": "Runcomfy_Example_1259_1.png"
  }'

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": [
    "62_image",
    "6_text",
    "68_image"
  ],
  "properties": {
    "68_image": {
      "title": "Start Image",
      "description": "",
      "type": "string",
      "default": "Runcomfy_Example_1259_1.png"
    },
    "62_image": {
      "title": "End Image",
      "description": "",
      "type": "string",
      "default": "Runcomfy_Example_1259_2.png"
    },
    "6_text": {
      "title": "Prompt",
      "description": "",
      "type": "string",
      "default": "Puppy, playing, happy, barking, joyful"
    },
    "71_widthx71_height": {
      "title": "Resolution (W:H)",
      "description": "",
      "type": "string",
      "enum": [
        "480x480 (1:1)",
        "720x720 (1:1)",
        "480x720 (2:3)",
        "720x480 (3:2)",
        "540x960 (9:16)",
        "576x1024 (9:16)",
        "720x1280 (9:16)",
        "960x540 (16:9)",
        "1024x576 (16:9)",
        "1280x720 (16:9)"
      ],
      "default": "720x720 (1:1)"
    },
    "67_length": {
      "title": "Number of Frames",
      "description": "",
      "type": "integer",
      "enum": [
        81,
        141
      ],
      "default": 81
    },
    "73_frame_rate": {
      "title": "Frames Per Second",
      "description": "",
      "type": "integer",
      "minimum": 12,
      "maximum": 24,
      "default": 16
    },
    "57_noise_seed": {
      "title": "Seed",
      "description": "",
      "type": "integer",
      "default": 96860978
    },
    "57_steps": {
      "title": "Steps",
      "description": "Number of denoising iterations; more steps refine detail and stability but take longer.",
      "type": "integer",
      "default": 20,
      "minimum": 6,
      "maximum": 20
    },
    "57_cfg": {
      "title": "Guidance Scale",
      "description": "Controls how strongly the output adheres to the prompt versus allowing creative variation.",
      "type": "float",
      "default": 4,
      "minimum": 0.6,
      "maximum": 4
    },
    "54_shift": {
      "title": "Shift",
      "description": "Offsets the diffusion sampling schedule, trading stability for stronger motion/style as the value increases.",
      "type": "float",
      "default": 8,
      "minimum": 1,
      "maximum": 15
    }
  }
}

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 community/wan-2-2/first-last-frame。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/community/wan-2-2/first-last-frame \
  --header "Content-Type: application/json" \
  --header "Authorization: Bearer <token>" \
  --data '{
    "62_image": "Runcomfy_Example_1259_2.png",
    "6_text": "Puppy, playing, happy, barking, joyful",
    "68_image": "Runcomfy_Example_1259_1.png"
  }'

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/community/wan-2-2/first-last-frame \
  --header "Content-Type: application/json" \
  --header "Authorization: Bearer <token>" \
  --data '{
    "62_image": "Runcomfy_Example_1259_2.png",
    "6_text": "Puppy, playing, happy, barking, joyful",
    "68_image": "Runcomfy_Example_1259_1.png"
  }'

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": [
    "62_image",
    "6_text",
    "68_image"
  ],
  "properties": {
    "68_image": {
      "title": "Start Image",
      "description": "",
      "type": "string",
      "default": "Runcomfy_Example_1259_1.png"
    },
    "62_image": {
      "title": "End Image",
      "description": "",
      "type": "string",
      "default": "Runcomfy_Example_1259_2.png"
    },
    "6_text": {
      "title": "Prompt",
      "description": "",
      "type": "string",
      "default": "Puppy, playing, happy, barking, joyful"
    },
    "71_widthx71_height": {
      "title": "Resolution (W:H)",
      "description": "",
      "type": "string",
      "enum": [
        "480x480 (1:1)",
        "720x720 (1:1)",
        "480x720 (2:3)",
        "720x480 (3:2)",
        "540x960 (9:16)",
        "576x1024 (9:16)",
        "720x1280 (9:16)",
        "960x540 (16:9)",
        "1024x576 (16:9)",
        "1280x720 (16:9)"
      ],
      "default": "720x720 (1:1)"
    },
    "67_length": {
      "title": "Number of Frames",
      "description": "",
      "type": "integer",
      "enum": [
        81,
        141
      ],
      "default": 81
    },
    "73_frame_rate": {
      "title": "Frames Per Second",
      "description": "",
      "type": "integer",
      "minimum": 12,
      "maximum": 24,
      "default": 16
    },
    "57_noise_seed": {
      "title": "Seed",
      "description": "",
      "type": "integer",
      "default": 96860978
    },
    "57_steps": {
      "title": "Steps",
      "description": "Number of denoising iterations; more steps refine detail and stability but take longer.",
      "type": "integer",
      "default": 20,
      "minimum": 6,
      "maximum": 20
    },
    "57_cfg": {
      "title": "Guidance Scale",
      "description": "Controls how strongly the output adheres to the prompt versus allowing creative variation.",
      "type": "float",
      "default": 4,
      "minimum": 0.6,
      "maximum": 4
    },
    "54_shift": {
      "title": "Shift",
      "description": "Offsets the diffusion sampling schedule, trading stability for stronger motion/style as the value increases.",
      "type": "float",
      "default": 8,
      "minimum": 1,
      "maximum": 15
    }
  }
}

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"
        }
      }
    }
  }
}

Wan 2.2 FLF2V 以两张图像（起始帧和结束帧）为输入，利用 wan2.2 I2V 高/低噪声模型和可选提示词，生成流畅自然的插帧视频。

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 2.2 FLF2V 以两张图像（起始帧和结束帧）为输入，利用 wan2.2 I2V 高/低噪声模型和可选提示词，生成流畅自然的插帧视频。

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 2.2 FLF2V：两帧插值打造流畅视频 | 图像转视频

Wan 2.2 FLF2V 以两张图像（起始帧和结束帧）为输入，利用 wan2.2 I2V 高/低噪声模型和可选提示词，生成流畅自然的插帧视频。

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 2.2 FLF2V：两帧插值打造流畅视频 | 图像转视频

Wan 2.2 FLF2V 以两张图像（起始帧和结束帧）为输入，利用 wan2.2 I2V 高/低噪声模型和可选提示词，生成流畅自然的插帧视频。

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