API reference · KwaiVGI

kwaivgi/kling-video/v3/standard/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/standard/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/standard/image-to-video",
  "image": "https://storage.googleapis.com/falserverless/example_inputs/kling-v3/standard-i2v/start_image.png",
  "prompt": "Camera slowly orbits around the vase. Soft light shifts across the ceramic surface. The pampas grass sways gently. Shadows move elegantly. Smooth continuous motion, premium feel.",
  "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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