API reference · Lightricks

lightricks/ltx-2.3-22b/image-to-video/lora

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

VIDEOAsyncOpen model

Production endpoint

Send your first request

OpenAI-compatible endpoint with unified authentication and usage tracking.

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

Model IDlightricks/ltx-2.3-22b/image-to-video/lora

Input Schema

10 parameters · 2 required · 8 optional

Parameter	Type	Required	Description
`image`	string	Required	The URL of the image to generate the video from.
`prompt`	string	Required	The prompt used for the generation.
`seed`	integer	Optional	The seed for the random number generator.
`loras`	array	Optional	—
`end_image`	string	Optional	The URL of the image to use as the end of the video.
`generate_audio`	boolean	Optional	Whether to generate audio for the video. · Default: true
`image_strength`	number	Optional	The strength of the image to use for the video generation. · Min: 0 · Max: 1 · Default: 1
`end_image_strength`	number	Optional	The strength of the end image to use for the video generation. · Min: 0 · Max: 1 · Default: 1
`num_inference_steps`	integer	Optional	Min: 8 · Max: 50 · Default: 40
`interpolation_direction`	string	Optional	The direction to interpolate the image sequence in. 'Forward' goes from the start image to the end image, 'Backward' goes from the end image to the start image. · Options: forward, backward · Default: "forward" forwardbackward

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

const apiKey = process.env.SANDBASE_API_KEY;
const response = await fetch("https://api.sandbase.ai/v1/run", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${apiKey}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    "model": "lightricks/ltx-2.3-22b/image-to-video/lora",
    "image": "https://static.sandbase.ai/examples/lightricks/ltx-2.3-22b/image-to-video/lora/input_image_0.jpg",
    "prompt": "A woman stands still amid a busy neon-lit street at night. The camera slowly dollies in toward her face as people blur past, their motion emphasizing her calm presence. City lights flicker and reflections shift across her denim jacket.",
    "generate_audio": true,
    "image_strength": 1,
    "end_image_strength": 1,
    "num_inference_steps": 40,
    "interpolation_direction": "forward"
  }),
});

if (!response.ok) throw new Error(await response.text());
let result = await response.json();
for (let attempt = 0; attempt < 120 && !["completed", "failed", "timeout"].includes(result.status); attempt++) {
  await new Promise((resolve) => setTimeout(resolve, 2_000));
  const poll = await fetch(`https://api.sandbase.ai/v1/run/${result.id}`, {
    headers: { Authorization: `Bearer ${apiKey}` },
  });
  if (!poll.ok) throw new Error(await poll.text());
  result = await poll.json();
}
if (result.status !== "completed") throw new Error(`Generation ended: ${result.status}`);
console.log(result);

← Back to LTX-2.3 22B