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LTX-2 19B

POST/v1/run

Ltx 2 19b Extend 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/extend-video.

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

stringpromptrequired

The prompt to generate the video from.

Optional<string>end_image

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

Optional<string>video

The URL of the video to extend.

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<integer>seed

The seed for the random number generator.

Optional<number>fps

The frames per second of the generated video.

Range: 1 to 60

Default: 25

Optional<string>video_quality

The quality of the generated video.

Allowed values: low, medium, high, maximum

Default: high

Optional<integer>num_context_frames

The number of frames to use as context for the extension.

Range: 0 to 121

Default: 25

Optional<integer>num_frames

The number of frames to generate.

Range: 9 to 481

Default: 121

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>extend_direction

Direction to extend the video. 'forward' extends from the end of the video, 'backward' extends from the beginning.

Allowed values: forward, backward

Default: forward

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<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<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>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_output_type

The output type of the generated video.

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

Default: X264 (.mp4)

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>video_write_mode

The write mode of the generated video.

Allowed values: fast, balanced, small

Default: balanced

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>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

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