API reference · Lightricks

lightricks/ltx-video/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 IDlightricks/ltx-video/image-to-video

Input Schema

5 parameters · 2 required · 3 optional

Parameter	Type	Required	Description
`image`	string	Required	The URL of the image to generate the video from.
`prompt`	string	Required	The prompt to generate the video from.
`seed`	integer	Optional	The seed to use for random number generation.
`guidance_scale`	number	Optional	The guidance scale to use. · Max: 10 · Default: 3
`num_inference_steps`	integer	Optional	The number of inference steps to take. · Min: 1 · Max: 50 · Default: 30

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": "lightricks/ltx-video/image-to-video",
  "image": "https://static.sandbase.ai/examples/lightricks/ltx-video/image-to-video/input_image_0.jpg",
  "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.",
  "guidance_scale": 3,
  "num_inference_steps": 30
}'

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

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