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LTX-2 19B

POST/v1/run

Ltx 2 19b Audio To Video by Lightricks - advanced AI model for audio-to-video. Delivers high-quality results with fast inference, suitable for both creative and production workflows.

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/audio-to-video.

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

stringpromptrequired

The prompt to generate the video from.

stringimagerequired

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>audio

The URL of the audio to generate the video from.

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<string>video_size

The size of the generated video. Use 'auto' to match the input image dimensions if provided.

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

Default: landscape_4_3

Optional<boolean>match_audio_length

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

Default: true

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>audio_strength

Audio conditioning strength. Values below 1.0 will allow the model to change the audio, while a value of exactly 1.0 will use the input audio without modification.

Range: 0 to 1

Default: 1

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<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<string>video_write_mode

The write mode of the generated video.

Allowed values: fast, balanced, small

Default: balanced

Optional<number>end_image_strength

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

Range: 0 to 1

Default: 1

Optional<boolean>preprocess_audio

Whether to preprocess the audio before using it as conditioning.

Default: true

Optional<number>fps

The frames per second of the generated video.

Range: 1 to 60

Default: 25

Optional<integer>num_frames

The number of frames to generate.

Range: 9 to 481

Default: 121

Optional<string>video_quality

The quality of the generated video.

Allowed values: low, medium, high, maximum

Default: high

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>image_strength

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

Range: 0 to 1

Default: 1

Optional<integer>seed

The seed for the random number generator.

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: audio-to-video

stringexecution_moderequired

Execution mode declared by the model registry.

Default: async