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LTX-2 19B

POST/v1/run

Ltx 2 19b Video To Video by Lightricks - AI-powered video editing and transformation. Apply style transfer, motion control, lip-sync, and visual effects to existing videos with natural language instructions.

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/video-to-video.

Default: lightricks/ltx-2-19b/video-to-video

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>guidance_scale

The guidance scale to use.

Range: 1 to 10

Default: 3

Optional<integer>num_inference_steps

The number of inference steps to use.

Range: 8 to 50

Default: 40

Optional<boolean>match_input_fps

When true, match the output FPS to the input video's FPS instead of using the default target FPS.

Default: true

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<integer>num_frames

The number of frames to generate.

Range: 9 to 481

Default: 121

Optional<string>video_size

The size of the generated video.

Allowed values: auto, square_hd, square, portrait_4_3, portrait_16_9, landscape_4_3, landscape_16_9

Default: auto

Optional<number>camera_lora_scale

The scale of the camera LoRA to use. This allows you to control the camera movement of the generated video more accurately than just prompting the model to move the camera.

Range: 0 to 1

Default: 1

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>video_write_mode

The write mode of the generated video.

Allowed values: fast, balanced, small

Default: balanced

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>camera_lora

The camera LoRA to use. This allows you to control the camera movement of the generated video more accurately than just prompting the model to move the camera.

Allowed values: dolly_in, dolly_out, dolly_left, dolly_right, jib_up, jib_down, static, none

Default: none

Optional<number>image_strength

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

Range: 0 to 1

Default: 1

Optional<number>fps

The frames per second of the generated video.

Range: 1 to 60

Default: 25

Optional<boolean>match_video_length

When enabled, the number of frames will be calculated based on the video duration and FPS. When disabled, use the specified num_frames.

Default: true

Optional<string>video_quality

The quality of the generated video.

Allowed values: low, medium, high, maximum

Default: high

Optional<string>video_output_type

The output type of the generated video.

Allowed values: X264 (.mp4), VP9 (.webm), PRORES4444 (.mov), GIF (.gif)

Default: X264 (.mp4)

Optional<number>end_image_strength

The strength of the end 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<boolean>use_multiscale

Whether to use multi-scale generation. If True, the model will generate the video at a smaller scale first, then use the smaller video to guide the generation of a video at or above your requested size. This results in better coherence and details.

Default: true

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<integer>seed

The seed for the random number generator.

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