LTX-2.3 22B Distilled

POST/v1/run

Ltx 2.3 22b Distilled Reference Video To Video is Lightricks's video-to-video AI model. Transform, enhance, and edit video content using text prompts - from style changes to object manipulation and scene modification.

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-2.3-22b/distilled/reference-video-to-video/lora.

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

stringpromptrequired

The prompt to generate the video from.

stringimagerequired

An optional URL of an image to use as the first frame of the video.

Optional<string>end_image

The URL of the image to use as the end of the video.

Optional<string>video

The URL of the video to reference.

Optional<string>audio

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.

Optional<boolean>generate_audio

Whether to generate audio for the video.

Default: true

Optional<string>preprocessor

The preprocessor to use for the generation.

Allowed values: depth, canny, pose, none

Default: none

Optional<number>audio_strength

Audio conditioning strength. Lower values represent more freedom given to the model to change the audio content.

Range: 0 to 1

Default: 1

Optional<string>ic_lora_type

The IC LoRA type to use for the generation.

Allowed values: match_preprocessor, union, detailer, none

Default: union

Optional<number>video_strength

Video conditioning strength. Lower values represent more freedom given to the model to change the video content.

Range: 0 to 1

Default: 1

Optional<integer>seed

The seed for the random number generator.

Optional<array>loras

Request parameter supported by this model.

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: video-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-2.3-22b/distilled/reference-video-to-video/lora",
  "prompt": "style: cinematic/realistic. A man wearing a baseball cap walks through a modern town. He holds a coffee cup.",
  "image": "https://static.sandbase.ai/examples/input.png",
  "video": "https://static.sandbase.ai/examples/lightricks/ltx-2.3-22b/distilled/reference-video-to-video/lora/output_url_0.mp4",
  "audio": "https://static.sandbase.ai/examples/input.mp3"
}'

# 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-2.3-22b/distilled/reference-video-to-video/lora",
  "status": "running",
  "outputs": []
}