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LTX-2 19B Distilled

POST/v1/run

Ltx 2 19b Distilled 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-2-19b/distilled/video-to-video/lora.

Default: lightricks/ltx-2-19b/distilled/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 generate the video from.

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<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<string>preprocessor

The preprocessor to use for the video. When a preprocessor is used and `ic_lora_type` is set to `match_preprocessor`, the IC-LoRA will be loaded based on the preprocessor type.

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<number>image_strength

The strength of the image to use for the video generation.

Range: 0 to 1

Default: 1

Optional<string>ic_lora

The type of IC-LoRA to load. In-Context LoRA weights are used to condition the video based on edge, depth, or pose videos. Only change this from `match_preprocessor` if your videos are already preprocessed (or you are using the detailer.)

Allowed values: match_preprocessor, canny, depth, pose, detailer, none

Default: match_preprocessor

Optional<number>ic_lora_scale

The scale of the IC-LoRA to use. This allows you to control the strength of the IC-LoRA.

Range: 0 to 1

Default: 1

Optional<number>end_image_strength

The strength of the end image to use for the video generation.

Range: 0 to 1

Default: 1

Optional<integer>seed

The seed for the random number generator.

Optional<array>loras

LoRA adapters applied to the generation. At most three items are accepted.

Response Schema

The submit endpoint returns a run response. If its status is pending or running, poll GET /v1/run/{id} with the returned opaque ID until it reaches a terminal state.

stringidrequired

Opaque SandBase run identifier. Use it exactly as returned; no prefix is guaranteed.

stringstatusrequired

Current public run status.

Allowed values: pending, running, completed, failed, timeout

Optional<string>model

Public SandBase model name used for this run.

Optional<array<object>>outputs

Present only for completed runs. Each object is capability-specific; inspect the selected model schema for its fields.

Optional<object>error

Present only for failed or timeout runs. Contains a public error type and sanitized message.

Optional<string>error.type

Stable public error category.

Optional<string>error.message

Sanitized error message safe to show to clients.

Optional<object>usage

Usage details when available.

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