Kling 3.0 Turbo API

Complete API reference for Kling 3.0 Turbo video generation models by Kuaishou.

Model Variants

This API supports two model variants:

Quick Comparison

Supported Aspect Ratios (Text to Video)

Kling 3.0 Turbo Text to Video

Endpoint

POST /api/v1/video/task

Request Parameters

Required

Optional

Example Request

javascriptCopy
const response = await fetch('https://api.flaq.ai/api/v1/video/task', {
  method: 'POST',
  headers: {
    'Authorization': 'Bearer YOUR_API_KEY',
    'Content-Type': 'application/json'
  },
  body: JSON.stringify({
    model_name: 'kling-3.0-turbo-text-to-video',
    prompt: 'A girl sits on a train, looking out the window with a melancholic expression, cinematic lighting',
    aspect_ratio: '16:9',
    resolution: '720p',
    duration: 5,
    sound: true
  })
});

const { data } = await response.json();
const taskId = data.task_id;

Kling 3.0 Turbo Image to Video

Request Parameters

Required

Optional

Example Request

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{
  model_name: 'kling-3.0-turbo-image-to-video',
  prompt: 'The character slowly turns her head and looks out the window, subtle camera movement',
  image_url: 'https://example.com/test-first-frame.png',
  resolution: '720p',
  duration: 5,
  sound: true
}

Response Format

Submit response:

jsonCopy
{
  "code": 0,
  "message": "success",
  "data": {
    "task_id": "{task_id}",
    "response_url": "https://api.flaq.ai/api/v1/video/{task_id}",
    "task_status": "submitted"
  }
}

Poll with GET /api/v1/video/{task_id}. Task statuses: submitted, processing, succeed, failed.

Best Practices

• Keep prompts focused on motion, camera behavior, and scene atmosphere.
• For image-to-video, use a clean first-frame image with a clear subject.
• Use shorter durations for faster iteration, then increase duration for final renders.