Kling Video O3 Pro

POST/v1/run

Kling Video O3 Pro is KwaiVGI's image-to-video AI model. Bring static images to life with fluid animation, consistent character motion, and professional-grade video output.

Request body

Submit an async generation request. The model field selects the model; other fields are model-specific input parameters.

stringmodelrequired

Model identifier. Set to kwaivgi/kling-video/o3/pro/image-to-video.

Default: kwaivgi/kling-video/o3/pro/image-to-video

stringpromptrequired

Text prompt for video generation. Either prompt or multi_prompt must be provided, but not both.

stringimagerequired

URL of the start frame image.

Optional<string>end_image

URL of the end frame image (optional).

Optional<integer>duration

Video duration in seconds (3-15s).

Allowed values: 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15

Default: 5

Optional<boolean>generate_audio

Whether to generate native audio for the video.

Default: false

Optional<array<object>>multi_prompt

List of prompts for multi-shot video generation.

Optional<string>shot_type

The type of multi-shot video generation. 'intelligent' lets the model automatically determine shot structure.

Allowed values: customize, intelligent

Default: customize

Response Schema

The submit endpoint returns an accepted generation task. Poll the result endpoint with the returned id for terminal outputs or errors.

Optional<string>error

Error message if the task failed. Empty on success.

stringidrequired

Unique identifier for the generation task.

Optional<string>model

Model ID used for the prediction.

Optional<array>outputs

Array of generated content. Empty when status is not completed.

stringstatusrequired

Status of the task: pending, running, completed, failed, or timeout.

Allowed values: pending, running, completed, failed, timeout

Model capabilities

array<string>capability_tagsrequired

Capabilities declared by the model registry.

Default: image-to-video

stringexecution_moderequired

Execution mode declared by the model registry.

Default: async

# 1. Submit a generation request
curl -X POST https://api.sandbase.ai/v1/run \
  -H "Authorization: Bearer $SANDBASE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "model": "kwaivgi/kling-video/o3/pro/image-to-video",
  "prompt": "The character walks forward slowly, with the camera following from behind.",
  "image": "https://static.sandbase.ai/examples/mirrored/0ff4703452ec-8ABMp4n9rh3kfD2Rq8fHd_start_frame.png",
  "duration": 5
}'

# 2. If the response is still running, poll the returned id
curl https://api.sandbase.ai/v1/run/run_abc123 \
  -H "Authorization: Bearer $SANDBASE_API_KEY"

Response202 Accepted

{
  "id": "run_abc123",
  "model": "kwaivgi/kling-video/o3/pro/image-to-video",
  "status": "running",
  "outputs": []
}