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Kling V3.0 4K:原生 4K 文生视频 | RunComfy

kling/kling-3.0/4k/text-to-video

生成带同步对白、多镜头叙事、角色一致性和开发者 API 的原生 4K 电影感视频,无论是否启用音频,均采用固定秒价。

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

1. 快速开始

使用 RunComfy 的 API 运行 kling/kling-3.0/4k/text-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/kling/kling-3.0/4k/text-to-video \
  --header "Content-Type: application/json" \
  --header "Authorization: Bearer <token>" \
  --data '{
    "prompt": "Native-4K cinematic multi-shot of a Brooklyn artisan coffee shop on a rainy autumn morning. Wide establishing shot through a fogged-up window: a bearded American barista in a denim apron stands behind a polished copper espresso machine, brass fixtures glowing under warm Edison bulbs, exposed brick and hanging plants in the background. Cut to an extreme macro close-up of milk being steamed, micro-foam swirling with visible bubbles and droplets. Cut to a top-down macro shot of his hands pouring a perfect rosetta latte art into a matte ceramic cup, golden crema rippling in slow motion. Cut to a young woman in a cream cable-knit sweater receiving the cup, soft window light catching freckles on her cheeks, green eyes warming as she smiles. Final shot: a slow dolly-out reveals the cozy industrial interior — vinyl records spinning, a chalkboard menu, raindrops streaking the window. Sound of espresso machine hissing, gentle rain on glass, soft indie acoustic guitar. Hyper-detailed textures: yarn weave, hair strands, crema bubbles, raindrop refraction — shot on RED Komodo 6K, anamorphic lenses, shallow depth of field, Kodak Portra color science."
  }'

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/kling/kling-3.0/4k/text-to-video \
  --header "Content-Type: application/json" \
  --header "Authorization: Bearer <token>" \
  --data '{
    "prompt": "Native-4K cinematic multi-shot of a Brooklyn artisan coffee shop on a rainy autumn morning. Wide establishing shot through a fogged-up window: a bearded American barista in a denim apron stands behind a polished copper espresso machine, brass fixtures glowing under warm Edison bulbs, exposed brick and hanging plants in the background. Cut to an extreme macro close-up of milk being steamed, micro-foam swirling with visible bubbles and droplets. Cut to a top-down macro shot of his hands pouring a perfect rosetta latte art into a matte ceramic cup, golden crema rippling in slow motion. Cut to a young woman in a cream cable-knit sweater receiving the cup, soft window light catching freckles on her cheeks, green eyes warming as she smiles. Final shot: a slow dolly-out reveals the cozy industrial interior — vinyl records spinning, a chalkboard menu, raindrops streaking the window. Sound of espresso machine hissing, gentle rain on glass, soft indie acoustic guitar. Hyper-detailed textures: yarn weave, hair strands, crema bubbles, raindrop refraction — shot on RED Komodo 6K, anamorphic lenses, shallow depth of field, Kodak Portra color science."
  }'

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"
  ],
  "properties": {
    "prompt": {
      "title": "提示词",
      "description": "用文字描述场景、动作、镜头风格和氛围。",
      "type": "string",
      "default": "Native-4K cinematic multi-shot of a Brooklyn artisan coffee shop on a rainy autumn morning. Wide establishing shot through a fogged-up window: a bearded American barista in a denim apron stands behind a polished copper espresso machine, brass fixtures glowing under warm Edison bulbs, exposed brick and hanging plants in the background. Cut to an extreme macro close-up of milk being steamed, micro-foam swirling with visible bubbles and droplets. Cut to a top-down macro shot of his hands pouring a perfect rosetta latte art into a matte ceramic cup, golden crema rippling in slow motion. Cut to a young woman in a cream cable-knit sweater receiving the cup, soft window light catching freckles on her cheeks, green eyes warming as she smiles. Final shot: a slow dolly-out reveals the cozy industrial interior — vinyl records spinning, a chalkboard menu, raindrops streaking the window. Sound of espresso machine hissing, gentle rain on glass, soft indie acoustic guitar. Hyper-detailed textures: yarn weave, hair strands, crema bubbles, raindrop refraction — shot on RED Komodo 6K, anamorphic lenses, shallow depth of field, Kodak Portra color science."
    },
    "negative_prompt": {
      "title": "负面提示词",
      "description": "不希望出现在视频中的元素。",
      "type": "string"
    },
    "duration": {
      "title": "时长",
      "description": "视频时长,以秒为单位。",
      "type": "integer",
      "minimum": 3,
      "maximum": 15,
      "default": 5
    },
    "aspect_ratio": {
      "title": "宽高比",
      "description": "生成视频的输出比例。",
      "type": "string",
      "enum": [
        "16:9",
        "9:16",
        "1:1"
      ],
      "default": "16:9"
    },
    "cfg_scale": {
      "title": "CFG 强度",
      "description": "提示词引导强度。",
      "type": "float",
      "minimum": 0,
      "maximum": 1,
      "default": 0.5
    },
    "sound": {
      "title": "声音",
      "description": "为视频生成同步声音。",
      "type": "boolean",
      "default": true
    },
    "multi_prompt": {
      "title": "多段提示词",
      "description": "用于引导场景转场和情节推进的附加提示词片段。multi_prompt 中各片段的时长之和必须等于视频总时长。",
      "type": "array",
      "items": {
        "prompt": {
          "title": "提示词",
          "description": "用于指导场景转换和进展的附加提示片段。",
          "type": "string",
          "format": "str"
        },
        "duration": {
          "title": "时长",
          "description": "该提示词片段的时长,以秒为单位。",
          "type": "integer",
          "format": "int_slider_with_range",
          "minimum": 3,
          "maximum": 15,
          "default": 5
        }
      },
      "maxItems": 20,
      "minItems": 0
    },
    "shot_type": {
      "title": "镜头模式",
      "description": "编辑模式:intelligent 为默认值,可自动判断范围;customize 由用户自定义。",
      "type": "string",
      "enum": [
        "customize"
      ],
      "default": "customize"
    }
  }
}

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"
        }
      }
    }
  }
}
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