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LTX-2.3 22B Distilled

POST/v1/run

Ltx 2.3 22b Distilled Lora by Lightricks - generate cinematic videos from text descriptions with AI. Create high-quality video content with natural motion, camera control, and optional audio generation.

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/text-to-video/lora.

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

stringpromptrequired

The prompt to generate the video from.

Optional<boolean>generate_audio

Whether to generate audio for the video.

Default: true

Optional<integer>seed

The seed for the random number generator.

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<string>video_write_mode

The write mode of the generated video.

Allowed values: fast, balanced, small

Default: balanced

Optional<number>distill_lora_second_pass_scale

The scale of the distill LoRA to use for the second and subsequent passes.

Range: 0 to 1

Default: 0.5

Optional<integer>num_frames

The number of frames to generate.

Range: 9 to 481

Default: 121

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>scheduler

The scheduler to use.

Allowed values: ltx2, linear_quadratic, beta

Default: ltx2

Optional<array<object>>loras

The LoRAs to use for the generation.

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>video_size

The size of the generated video.

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

Default: landscape_16_9

Optional<number>fps

The frames per second of the generated video.

Range: 1 to 60

Default: 24

Optional<string>video_quality

The quality of the generated video.

Allowed values: low, medium, high, maximum

Default: high

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

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: text-to-video

stringexecution_moderequired

Execution mode declared by the model registry.

Default: async