API reference · Lightricks

lightricks/ltx-2-19b/audio-to-video/lora

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-2-19b/audio-to-video/lora

Input Schema

12 parameters · 2 required · 10 optional

Parameter	Type	Required	Description
`image`	string	Required	Optional URL of an image to use as the first frame of the video.
`prompt`	string	Required	The prompt to generate the video from.
`seed`	integer	Optional	The seed for the random number generator.
`audio`	string	Optional	The URL of the audio to generate the video from.
`loras`	array	Optional	—
`end_image`	string	Optional	The URL of the image to use as the end of the video.
`audio_strength`	number	Optional	Audio conditioning strength. Values below 1.0 will allow the model to change the audio, while a value of exactly 1.0 will use the input audio without modification. · Min: 0 · Max: 1 · Default: 1
`guidance_scale`	number	Optional	Min: 1 · Max: 10 · Default: 3
`image_strength`	number	Optional	The strength of the image to use for the video generation. · Min: 0 · Max: 1 · Default: 1
`preprocess_audio`	boolean	Optional	Whether to preprocess the audio before using it as conditioning. · Default: true
`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

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-2-19b/audio-to-video/lora",
  "audio": "https://static.sandbase.ai/examples/lightricks/ltx-2-19b/audio-to-video/lora/input_audio_1.mp3",
  "image": "https://static.sandbase.ai/examples/lightricks/ltx-2-19b/audio-to-video/lora/input_image_0.png",
  "prompt": "A woman speaks to the camera",
  "audio_strength": 1,
  "guidance_scale": 3,
  "image_strength": 1,
  "preprocess_audio": true,
  "end_image_strength": 1,
  "num_inference_steps": 40
}'

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

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