Kling 3.0 API

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

Model Variants

This API supports four model variants:

Quick Comparison

Supported Aspect Ratios

Kling 3.0 Text to Video (Std & Pro)

Endpoint

POST /api/v1/video/task

Request Parameters

Required

Optional

Example Request

Std Version:

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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-v3.0-std-text-to-video',
    prompt: 'A fox running through a snowy forest at dusk',
    duration: 5,
    aspect_ratio: '16:9'
  })
});

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

Pro Version:

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{
  model_name: 'kling-v3.0-pro-text-to-video',
  prompt: 'A fox running through a snowy forest at dusk',
  duration: 5,
  aspect_ratio: '16:9'
}

Kling 3.0 Image to Video (Std & Pro)

Request Parameters

Required

Optional

Example Request

Std Version:

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-v3.0-std-image-to-video',
    image_url: 'https://example.com/image.jpg',
    prompt: 'Gentle breeze, leaves rustling, slow camera pull back',
    duration: 5,
    aspect_ratio: '16:9'
  })
});

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

Pro Version:

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{
  model_name: 'kling-v3.0-pro-image-to-video',
  image_url: 'https://example.com/image.jpg',
  prompt: 'Gentle breeze, leaves rustling, slow camera pull back',
  duration: 5,
  aspect_ratio: '16:9'
}

Response Format

Initial 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"
  }
}

Polling Response

Poll GET /api/v1/video/{taskId} to check status:

jsonCopy
{
  "code": 0,
  "message": "success",
  "data": {
    "task_id": "{task_id}",
    "response_url": "https://api.flaq.ai/api/v1/video/{task_id}",
    "task_status": "succeed",
    "task_status_msg": null,
    "task_result": {
      "videos": [
        {
          "url": "https://example.com/generated-video.mp4"
        }
      ]
    }
  }
}

Status Values

• submitted: Task accepted and waiting to be processed
• processing: Video generation in progress
• succeed: Video generation completed
• failed: Video generation failed

Processing Time

• Std Version: ~2-4 minutes depending on duration
• Pro Version: ~3-6 minutes depending on duration

Poll every 5-10 seconds. Longer videos (10-15 seconds) may take additional time.

Best Practices

1. Describe Motion Clearly: Include camera movements and subject actions in the prompt for more dynamic results
2. Use Negative Prompts: Exclude unwanted elements (e.g., "blurry, low quality, watermark") to improve output
3. Guidance Scale: Lower values (0.3-0.5) allow more creative freedom; higher values (0.7-1.0) follow the prompt more strictly
4. Image Quality: For image-to-video, use sharp, well-lit input images for best motion quality
5. Duration: Start with shorter durations (3-5 seconds) to iterate quickly, then increase for final output
6. Tier Selection: Use Std for faster iteration and Pro for final production-quality videos