API reference · Lightricks

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

Input Schema

22 parameters · 1 required · 21 optional

Parameter	Type	Required	Description
`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.
`video`	string	Optional	The URL of the video to extend.
`end_image`	string	Optional	The URL of the image to use as the end of the extended 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. · Options: auto, square_hd, square, portrait_4_3, portrait_16_9, landscape_4_3, landscape_16_9 · Default: "auto" 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. Lower values represent more freedom given to the model to change the audio content. · Min: 0 · Max: 1 · Default: 1
`generate_audio`	boolean	Optional	Whether to generate audio for the video. · Default: true
`guidance_scale`	number	Optional	The guidance scale to use. · Min: 1 · Max: 10 · Default: 3
`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
`video_strength`	number	Optional	Video conditioning strength. Lower values represent more freedom given to the model to change the video content. · Min: 0 · Max: 1 · Default: 1
`match_input_fps`	boolean	Optional	When true, match the output FPS to the input video's FPS instead of using the default target FPS. · Default: true
`extend_direction`	string	Optional	Direction to extend the video. 'forward' extends from the end of the video, 'backward' extends from the beginning. · Options: forward, backward · Default: "forward" forwardbackward
`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
`num_context_frames`	integer	Optional	The number of frames to use as context for the extension. · Min: 0 · Max: 121 · Default: 25
`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/extend-video",
  "fps": 25,
  "video": "https://static.sandbase.ai/examples/lightricks/ltx-2-19b/extend-video/input_video_0.mp4",
  "prompt": "Continue the scene naturally, maintaining the same style and motion.",
  "num_frames": 121,
  "video_size": "auto",
  "camera_lora": "none",
  "video_quality": "high",
  "audio_strength": 1,
  "generate_audio": true,
  "guidance_scale": 3,
  "use_multiscale": true,
  "video_strength": 1,
  "match_input_fps": true,
  "extend_direction": "forward",
  "video_write_mode": "balanced",
  "camera_lora_scale": 1,
  "video_output_type": "X264 (.mp4)",
  "end_image_strength": 1,
  "num_context_frames": 25,
  "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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