API reference · Lightricks

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

Integrate this model through SandBase's unified API, with production-ready schemas and examples.

IMAGEAsyncOpen model

Production endpoint

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OpenAI-compatible endpoint with unified authentication and usage tracking.

POSThttps://api.sandbase.ai/v1/run

Model IDlightricks/ltx-2-19b/audio-to-video

Input Schema

21 parameters · 2 required · 19 optional

Parameter	Type	Required	Description
`image`	string	Required	Optional URL of an image to use as the first frame of the video.
`prompt`	string	Required	The prompt to generate the video from.
`fps`	number	Optional	The frames per second of the generated video. · Min: 1 · Max: 60 · Default: 25
`seed`	integer	Optional	The seed for the random number generator.
`audio`	string	Optional	The URL of the audio to generate the video from.
`end_image`	string	Optional	The URL of the image to use as the end of the video.
`num_frames`	integer	Optional	The number of frames to generate. · Min: 9 · Max: 481 · Default: 121
`video_size`	string	Optional	The size of the generated video. Use 'auto' to match the input image dimensions if provided. · Options: auto, square_hd, square, portrait_4_3, portrait_16_9, landscape_4_3, landscape_16_9 · Default: "landscape_4_3" autosquare_hdsquareportrait_4_3portrait_16_9landscape_4_3landscape_16_9
`camera_lora`	string	Optional	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. · Options: dolly_in, dolly_out, dolly_left, dolly_right, jib_up, jib_down, static, none · Default: "none" dolly_indolly_outdolly_leftdolly_rightjib_upjib_downstaticnone
`video_quality`	string	Optional	The quality of the generated video. · Options: low, medium, high, maximum · Default: "high" lowmediumhighmaximum
`audio_strength`	number	Optional	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. · Min: 0 · Max: 1 · Default: 1
`guidance_scale`	number	Optional	The guidance scale to use. · Min: 1 · Max: 10 · Default: 3
`image_strength`	number	Optional	The strength of the image to use for the video generation. · Min: 0 · Max: 1 · Default: 1
`use_multiscale`	boolean	Optional	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
`preprocess_audio`	boolean	Optional	Whether to preprocess the audio before using it as conditioning. · Default: true
`video_write_mode`	string	Optional	The write mode of the generated video. · Options: fast, balanced, small · Default: "balanced" fastbalancedsmall
`camera_lora_scale`	number	Optional	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. · Min: 0 · Max: 1 · Default: 1
`video_output_type`	string	Optional	The output type of the generated video. · Options: X264 (.mp4), VP9 (.webm), PRORES4444 (.mov), GIF (.gif) · Default: "X264 (.mp4)" X264 (.mp4)VP9 (.webm)PRORES4444 (.mov)GIF (.gif)
`end_image_strength`	number	Optional	The strength of the end image to use for the video generation. · Min: 0 · Max: 1 · Default: 1
`match_audio_length`	boolean	Optional	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
`num_inference_steps`	integer	Optional	The number of inference steps to use. · Min: 8 · Max: 50 · Default: 40

Output Schema

Field	Type	Description
`id`	string	Unique identifier for the generation task
`status`	string	Task status: pending, running, completed, failed, timeout
`model`	string	Model used for the generation
`outputs`	array	Array of output items
`outputs[].url`	string	URL of the generated artifact
`outputs[].content_type`	string	MIME type (e.g. image/png, video/mp4)
`error`	object \| null	Error details if failed, null on success
`error.type`	string	Machine-readable error type code
`error.message`	string	Human-readable error description

Async Workflow

This model uses asynchronous execution. Submit a request and poll for the result.

Submit — POST to /v1/run, receive an id
Poll — GET /v1/run/{id} until status is completed, failed, or timeout
Retrieve — Read outputs from the completed response

Code Examples

Ready-to-run snippets

# Step 1: Submit
curl -X POST https://api.sandbase.ai/v1/run \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{
  "model": "lightricks/ltx-2-19b/audio-to-video",
  "fps": 25,
  "audio": "https://static.sandbase.ai/examples/lightricks/ltx-2-19b/audio-to-video/input_audio_1.mp3",
  "image": "https://static.sandbase.ai/examples/lightricks/ltx-2-19b/audio-to-video/input_image_0.png",
  "prompt": "A woman speaks to the camera",
  "num_frames": 121,
  "video_size": "landscape_4_3",
  "camera_lora": "none",
  "video_quality": "high",
  "audio_strength": 1,
  "guidance_scale": 3,
  "image_strength": 1,
  "use_multiscale": true,
  "preprocess_audio": true,
  "video_write_mode": "balanced",
  "camera_lora_scale": 1,
  "video_output_type": "X264 (.mp4)",
  "end_image_strength": 1,
  "match_audio_length": true,
  "num_inference_steps": 40
}'

# Step 2: Poll result (replace <id>)
curl https://api.sandbase.ai/v1/run/<id> \
  -H "Authorization: Bearer YOUR_API_KEY"

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