API reference · Lightricks

lightricks/ltx-2.3-22b/distilled/reference-video-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-2.3-22b/distilled/reference-video-to-video/lora

Input Schema

12 parameters · 2 required · 10 optional

Parameter	Type	Required	Description
`image`	string	Required	An 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	An optional URL of an audio to use as the audio for the video. If not provided, any audio present in the input video will be used.
`loras`	array	Optional	—
`video`	string	Optional	The URL of the video to reference.
`end_image`	string	Optional	The URL of the image to use as the end of the video.
`ic_lora_type`	string	Optional	The IC LoRA type to use for the generation. · Options: match_preprocessor, union, detailer, none · Default: "union" match_preprocessoruniondetailernone
`preprocessor`	string	Optional	The preprocessor to use for the generation. · Options: depth, canny, pose, none · Default: "none" depthcannyposenone
`audio_strength`	number	Optional	Audio conditioning strength. Lower values represent more freedom given to the model to change the audio content. · Min: 0 · Max: 1 · Default: 1
`generate_audio`	boolean	Optional	Whether to generate audio for the video. · Default: true
`video_strength`	number	Optional	Video conditioning strength. Lower values represent more freedom given to the model to change the video content. · Min: 0 · Max: 1 · Default: 1

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-2.3-22b/distilled/reference-video-to-video/lora",
  "video": "https://static.sandbase.ai/examples/lightricks/ltx-2.3-22b/distilled/reference-video-to-video/lora/output_url_0.mp4",
  "prompt": "style: cinematic/realistic. A man wearing a baseball cap walks through a modern town. He holds a coffee cup.",
  "ic_lora_type": "union",
  "preprocessor": "none",
  "audio_strength": 1,
  "generate_audio": true,
  "video_strength": 1
}'

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

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