API reference · KwaiVGI

kwaivgi/kling-video/v3/pro/image-to-video

Integrate this model through SandBase's unified API, with production-ready schemas and examples.

VIDEOAsyncOpen model

Production endpoint

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OpenAI-compatible endpoint with unified authentication and usage tracking.

POSThttps://api.sandbase.ai/v1/run

Model IDkwaivgi/kling-video/v3/pro/image-to-video

Input Schema

7 parameters · 2 required · 5 optional

Parameter	Type	Required	Description
`image`	string	Required	URL of the image to be used for the video
`prompt`	string	Required	Text prompt for video generation. Either prompt or multi_prompt must be provided, but not both. · Max length: 2500
`duration`	integer	Optional	The duration of the generated video in seconds · Options: 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15 · Default: 5 3456789101112131415
`end_image`	string	Optional	URL of the image to be used for the end of the video
`shot_type`	string	Optional	The type of multi-shot video generation. 'intelligent' lets the model automatically determine shot structure. · Options: customize, intelligent · Default: "customize" customizeintelligent
`multi_prompt`	object[]	Optional	List of prompts for multi-shot video generation. If provided, divides the video into multiple shots.
`generate_audio`	boolean	Optional	Whether to generate native audio for the video. Supports Chinese and English voice output. Other languages are automatically translated to English. For English speech, use lowercase letters; for acronyms or proper nouns, use uppercase. · Default: true

Output Schema

Field	Type	Description
`id`	string	Unique identifier for the generation task
`status`	string	Task status: pending, running, completed, failed, timeout
`model`	string	Model used for the generation
`outputs`	array	Array of output items
`outputs[].url`	string	URL of the generated artifact
`outputs[].content_type`	string	MIME type (e.g. image/png, video/mp4)
`error`	object \| null	Error details if failed, null on success
`error.type`	string	Machine-readable error type code
`error.message`	string	Human-readable error description

Async Workflow

This model uses asynchronous execution. Submit a request and poll for the result.

Submit — POST to /v1/run, receive an id
Poll — GET /v1/run/{id} until status is completed, failed, or timeout
Retrieve — Read outputs from the completed response

Code Examples

Ready-to-run snippets

# Step 1: Submit
curl -X POST https://api.sandbase.ai/v1/run \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{
  "model": "kwaivgi/kling-video/v3/pro/image-to-video",
  "image": "https://storage.googleapis.com/falserverless/example_inputs/kling-v3/pro-i2v/start_image.png",
  "prompt": "The craftsman slowly examines the bowl, turning it gently in his weathered hands. His eyes reflect years of wisdom. Subtle smile forms on his face. Dust particles drift in warm light. Breathing motion, blinking eyes.",
  "duration": 12,
  "shot_type": "customize",
  "generate_audio": true
}'

# Step 2: Poll result (replace <id>)
curl https://api.sandbase.ai/v1/run/<id> \
  -H "Authorization: Bearer YOUR_API_KEY"

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