LTX Video (preview)

POST/v1/run

Ltx Video by Lightricks - animate still images into dynamic videos with AI. Transform photos into cinematic clips with natural motion, camera movement, and optional audio generation.

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 lightricks/ltx-video/image-to-video.

Default: lightricks/ltx-video/image-to-video

stringpromptrequired

The prompt to generate the video from.

stringimagerequired

The URL of the image to generate the video from.

Optional<number>guidance_scale

The guidance scale to use.

Range: −∞ to 10

Default: 3

Optional<integer>num_inference_steps

The number of inference steps to take.

Range: 1 to 50

Default: 30

Optional<integer>seed

The seed to use for random number generation.

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": "lightricks/ltx-video/image-to-video",
  "prompt": "A lone astronaut in a white spacesuit with gold-tinted visor drifts weightlessly through a sleek, cylindrical corridor of a spaceship. Their movements are slow and graceful as they gently push off the metallic walls with their gloved hands, rotating slightly as they float from right to left across the frame. The corridor features brushed aluminum panels with blue LED strips running along the ceiling, casting a cool glow on the astronaut's suit. Various cables, pipes, and control panels line the walls. The camera follows the astronaut's movement in a handheld style, slightly swaying and adjusting focus, maintaining a medium shot that captures both the astronaut and the corridor's depth. Small particles of dust catch the light as they float in the zero-gravity environment. The scene appears cinematic, with lens flares occasionally reflecting off the metallic surfaces and the astronaut's visor.",
  "image": "https://static.sandbase.ai/examples/lightricks/ltx-video/image-to-video/input_image_0.jpg"
}'

# 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": "lightricks/ltx-video/image-to-video",
  "status": "running",
  "outputs": []
}