Kling Kling 3.0 API | Pricing & Docs

kling/kling-3.0/standard/text-to-video

Generate native 4K videos with synchronized dialogue from text or images, offering multi-shot cinematic storytelling, character consistency, and developer-friendly API integration for professional creators.

1. Get started

Use RunComfy's API to run kling/kling-3.0/standard/text-to-video. For accepted inputs and outputs, see the model's schema.

curl --request POST \
  --url https://model-api.runcomfy.net/v1/models/kling/kling-3.0/standard/text-to-video \
  --header "Content-Type: application/json" \
  --header "Authorization: Bearer <token>" \
  --data '{
    "prompt": "Cinematic multi-shot of a young American father teaching his 6-year-old daughter to ride a bike on a sun-dappled suburban street in autumn. Wide establishing shot of the leafy neighborhood with Craftsman-style houses, then cut to a low tracking shot following the wobbling pink bike as the father runs alongside holding the seat, his blue flannel shirt fluttering. Cut to a close-up of the girl's face, golden braids whipping in the wind, her wide blue eyes shifting from nervous to joyful as she breaks into laughter. Final shot: a slow-motion crane pull-back as he lets go and she pedals freely down the street, golden hour light, lens flares, warm cinematic color grade, shot on 35mm film, shallow depth of field."
  }'

2. Authentication

Set the YOUR_API_TOKEN environment variable with your API key (manage keys in your Profile) and include it on every request as a Bearer token via the Authorization header: Authorization: Bearer $YOUR_API_TOKEN.

3. API reference

Submit a request

Submit an asynchronous generation job and immediately receive a request_id plus URLs to check status, fetch results, and cancel.

curl --request POST \
  --url https://model-api.runcomfy.net/v1/models/kling/kling-3.0/standard/text-to-video \
  --header "Content-Type: application/json" \
  --header "Authorization: Bearer <token>" \
  --data '{
    "prompt": "Cinematic multi-shot of a young American father teaching his 6-year-old daughter to ride a bike on a sun-dappled suburban street in autumn. Wide establishing shot of the leafy neighborhood with Craftsman-style houses, then cut to a low tracking shot following the wobbling pink bike as the father runs alongside holding the seat, his blue flannel shirt fluttering. Cut to a close-up of the girl's face, golden braids whipping in the wind, her wide blue eyes shifting from nervous to joyful as she breaks into laughter. Final shot: a slow-motion crane pull-back as he lets go and she pedals freely down the street, golden hour light, lens flares, warm cinematic color grade, shot on 35mm film, shallow depth of field."
  }'

Monitor request status

Fetch the current state for a request_id ("in_queue", "in_progress", "completed", or "cancelled").

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

Retrieve request results

Retrieve the final outputs and metadata for the given request_id; if the job is not complete, the response returns the current state so you can continue polling.

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

Cancel a request

Cancel a queued job by request_id; in-progress jobs cannot be cancelled.

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

4. File inputs

Hosted file (URL)

Provide a publicly reachable HTTPS URL. Ensure the host allows server-side fetches (no login/cookies required) and isn't rate-limited or blocking bots. Recommended limits: images ≤ 50 MB (~4K), videos ≤ 100 MB (~2–5 min @ 720p). Prefer stable or pre-signed URLs for private assets.

5. Schema

Input schema

{
  "type": "object",
  "title": "Input schema",
  "required": [
    "prompt"
  ],
  "properties": {
    "prompt": {
      "title": "Prompt",
      "description": "Text description of the scene, motion, camera style, and atmosphere.",
      "type": "string",
      "default": "Cinematic multi-shot of a young American father teaching his 6-year-old daughter to ride a bike on a sun-dappled suburban street in autumn. Wide establishing shot of the leafy neighborhood with Craftsman-style houses, then cut to a low tracking shot following the wobbling pink bike as the father runs alongside holding the seat, his blue flannel shirt fluttering. Cut to a close-up of the girl's face, golden braids whipping in the wind, her wide blue eyes shifting from nervous to joyful as she breaks into laughter. Final shot: a slow-motion crane pull-back as he lets go and she pedals freely down the street, golden hour light, lens flares, warm cinematic color grade, shot on 35mm film, shallow depth of field."
    },
    "negative_prompt": {
      "title": "Negative Prompt",
      "description": "Elements to exclude from the video.",
      "type": "string"
    },
    "duration": {
      "title": "Duration",
      "description": "Video length in seconds.",
      "type": "integer",
      "minimum": 3,
      "maximum": 15,
      "default": 5
    },
    "aspect_ratio": {
      "title": "Aspect Ratio",
      "description": "Output ratio of the generated video.",
      "type": "string",
      "enum": [
        "16:9",
        "9:16",
        "1:1"
      ],
      "default": "16:9"
    },
    "cfg_scale": {
      "title": "CFG Scale",
      "description": "Prompt guidance strength.",
      "type": "float",
      "minimum": 0,
      "maximum": 1,
      "default": 0.5
    },
    "sound": {
      "title": "Sound",
      "description": "Generate synchronized sound alongside the video.",
      "type": "boolean",
      "default": true
    },
    "shot_type": {
      "title": "Shot Type",
      "description": "Editing mode: intelligent (default, auto-determines scope) or customize.",
      "type": "string",
      "enum": [
        "intelligent",
        "customize"
      ],
      "default": "intelligent"
    },
    "multi_prompt": {
      "title": "Multi Prompt",
      "description": "Additional prompt segments to guide scene transitions and progressions. The sum of durations in multi_prompt must equal to total video duration",
      "type": "array",
      "items": {
        "prompt": {
          "title": "Prompt",
          "description": "Additional prompt segments to guide scene transitions and progressions.",
          "type": "string",
          "format": "str"
        },
        "duration": {
          "title": "Duration",
          "description": "Duration of the prompt segment in seconds.",
          "type": "integer",
          "format": "int_slider_with_range",
          "minimum": 3,
          "maximum": 15,
          "default": 5
        }
      },
      "maxItems": 20,
      "minItems": 0
    }
  }
}

Output schema

{
  "output": {
    "type": "object",
    "properties": {
      "image": {
        "type": "string",
        "format": "uri",
        "description": "single image URL"
      },
      "video": {
        "type": "string",
        "format": "uri",
        "description": "single video URL"
      },
      "images": {
        "type": "array",
        "description": "multiple image URLs",
        "items": {
          "type": "string",
          "format": "uri"
        }
      },
      "videos": {
        "type": "array",
        "description": "multiple video URLs",
        "items": {
          "type": "string",
          "format": "uri"
        }
      }
    }
  }
}

RunComfy

RunComfy is the premier ComfyUI platform, offering ComfyUI online environment and services, along with ComfyUI workflows featuring stunning visuals. RunComfy also provides AI Models, enabling artists to harness the latest AI tools to create incredible art.

1. Get started

Use RunComfy's API to run kling/kling-3.0/standard/text-to-video. For accepted inputs and outputs, see the model's schema.

curl --request POST \
  --url https://model-api.runcomfy.net/v1/models/kling/kling-3.0/standard/text-to-video \
  --header "Content-Type: application/json" \
  --header "Authorization: Bearer <token>" \
  --data '{
    "prompt": "Cinematic multi-shot of a young American father teaching his 6-year-old daughter to ride a bike on a sun-dappled suburban street in autumn. Wide establishing shot of the leafy neighborhood with Craftsman-style houses, then cut to a low tracking shot following the wobbling pink bike as the father runs alongside holding the seat, his blue flannel shirt fluttering. Cut to a close-up of the girl's face, golden braids whipping in the wind, her wide blue eyes shifting from nervous to joyful as she breaks into laughter. Final shot: a slow-motion crane pull-back as he lets go and she pedals freely down the street, golden hour light, lens flares, warm cinematic color grade, shot on 35mm film, shallow depth of field."
  }'

3. API reference

Submit a request

Submit an asynchronous generation job and immediately receive a request_id plus URLs to check status, fetch results, and cancel.

curl --request POST \
  --url https://model-api.runcomfy.net/v1/models/kling/kling-3.0/standard/text-to-video \
  --header "Content-Type: application/json" \
  --header "Authorization: Bearer <token>" \
  --data '{
    "prompt": "Cinematic multi-shot of a young American father teaching his 6-year-old daughter to ride a bike on a sun-dappled suburban street in autumn. Wide establishing shot of the leafy neighborhood with Craftsman-style houses, then cut to a low tracking shot following the wobbling pink bike as the father runs alongside holding the seat, his blue flannel shirt fluttering. Cut to a close-up of the girl's face, golden braids whipping in the wind, her wide blue eyes shifting from nervous to joyful as she breaks into laughter. Final shot: a slow-motion crane pull-back as he lets go and she pedals freely down the street, golden hour light, lens flares, warm cinematic color grade, shot on 35mm film, shallow depth of field."
  }'

Monitor request status

Fetch the current state for a request_id ("in_queue", "in_progress", "completed", or "cancelled").

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

Retrieve request results

Retrieve the final outputs and metadata for the given request_id; if the job is not complete, the response returns the current state so you can continue polling.

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

Cancel a request

Cancel a queued job by request_id; in-progress jobs cannot be cancelled.

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

4. File inputs

Hosted file (URL)

5. Schema

Input schema

{
  "type": "object",
  "title": "Input schema",
  "required": [
    "prompt"
  ],
  "properties": {
    "prompt": {
      "title": "Prompt",
      "description": "Text description of the scene, motion, camera style, and atmosphere.",
      "type": "string",
      "default": "Cinematic multi-shot of a young American father teaching his 6-year-old daughter to ride a bike on a sun-dappled suburban street in autumn. Wide establishing shot of the leafy neighborhood with Craftsman-style houses, then cut to a low tracking shot following the wobbling pink bike as the father runs alongside holding the seat, his blue flannel shirt fluttering. Cut to a close-up of the girl's face, golden braids whipping in the wind, her wide blue eyes shifting from nervous to joyful as she breaks into laughter. Final shot: a slow-motion crane pull-back as he lets go and she pedals freely down the street, golden hour light, lens flares, warm cinematic color grade, shot on 35mm film, shallow depth of field."
    },
    "negative_prompt": {
      "title": "Negative Prompt",
      "description": "Elements to exclude from the video.",
      "type": "string"
    },
    "duration": {
      "title": "Duration",
      "description": "Video length in seconds.",
      "type": "integer",
      "minimum": 3,
      "maximum": 15,
      "default": 5
    },
    "aspect_ratio": {
      "title": "Aspect Ratio",
      "description": "Output ratio of the generated video.",
      "type": "string",
      "enum": [
        "16:9",
        "9:16",
        "1:1"
      ],
      "default": "16:9"
    },
    "cfg_scale": {
      "title": "CFG Scale",
      "description": "Prompt guidance strength.",
      "type": "float",
      "minimum": 0,
      "maximum": 1,
      "default": 0.5
    },
    "sound": {
      "title": "Sound",
      "description": "Generate synchronized sound alongside the video.",
      "type": "boolean",
      "default": true
    },
    "shot_type": {
      "title": "Shot Type",
      "description": "Editing mode: intelligent (default, auto-determines scope) or customize.",
      "type": "string",
      "enum": [
        "intelligent",
        "customize"
      ],
      "default": "intelligent"
    },
    "multi_prompt": {
      "title": "Multi Prompt",
      "description": "Additional prompt segments to guide scene transitions and progressions. The sum of durations in multi_prompt must equal to total video duration",
      "type": "array",
      "items": {
        "prompt": {
          "title": "Prompt",
          "description": "Additional prompt segments to guide scene transitions and progressions.",
          "type": "string",
          "format": "str"
        },
        "duration": {
          "title": "Duration",
          "description": "Duration of the prompt segment in seconds.",
          "type": "integer",
          "format": "int_slider_with_range",
          "minimum": 3,
          "maximum": 15,
          "default": 5
        }
      },
      "maxItems": 20,
      "minItems": 0
    }
  }
}

Output schema

{
  "output": {
    "type": "object",
    "properties": {
      "image": {
        "type": "string",
        "format": "uri",
        "description": "single image URL"
      },
      "video": {
        "type": "string",
        "format": "uri",
        "description": "single video URL"
      },
      "images": {
        "type": "array",
        "description": "multiple image URLs",
        "items": {
          "type": "string",
          "format": "uri"
        }
      },
      "videos": {
        "type": "array",
        "description": "multiple video URLs",
        "items": {
          "type": "string",
          "format": "uri"
        }
      }
    }
  }
}

Generate native 4K videos with synchronized dialogue from text or images, offering multi-shot cinematic storytelling, character consistency, and developer-friendly API integration for professional creators.

Table of contents

1. Get started

2. Authentication

3. API reference

Submit a request

Monitor request status

Retrieve request results

Cancel a request

4. File inputs

Hosted file (URL)

5. Schema

Input schema

Output schema

Generate native 4K videos with synchronized dialogue from text or images, offering multi-shot cinematic storytelling, character consistency, and developer-friendly API integration for professional creators.

Table of contents

1. Get started

2. Authentication

3. API reference

Submit a request

Monitor request status

Retrieve request results

Cancel a request

4. File inputs

Hosted file (URL)

5. Schema

Input schema

Output schema

Kling 3.0: Text-to-Video Multi-Shot Generation on playground and API | RunComfy

Generate native 4K videos with synchronized dialogue from text or images, offering multi-shot cinematic storytelling, character consistency, and developer-friendly API integration for professional creators.

Table of contents

1. Get started

2. Authentication

3. API reference

Submit a request

Monitor request status

Retrieve request results

Cancel a request

4. File inputs

Hosted file (URL)

5. Schema

Input schema

Output schema

Kling 3.0: Text-to-Video Multi-Shot Generation on playground and API | RunComfy

Generate native 4K videos with synchronized dialogue from text or images, offering multi-shot cinematic storytelling, character consistency, and developer-friendly API integration for professional creators.

Table of contents

1. Get started

2. Authentication

3. API reference

Submit a request

Monitor request status

Retrieve request results

Cancel a request

4. File inputs

Hosted file (URL)

5. Schema

Input schema

Output schema