API reference · Lightricks

lightricks/ltx-2-19b/video-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/video-to-video
01

Input Schema

27 parameters · 2 required · 25 optional

ParameterTypeRequiredDescription
imagestringRequiredAn optional URL of an image to use as the first frame of the video.
promptstringRequiredThe prompt to generate the video from.
fpsnumberOptionalThe frames per second of the generated video. · Min: 1 · Max: 60 · Default: 25
seedintegerOptionalThe seed for the random number generator.
audiostringOptionalAn optional URL of an audio to use as the audio for the video. If not provided, any audio present in the input video will be used.
videostringOptionalThe URL of the video to generate the video from.
ic_lorastringOptionalThe type of IC-LoRA to load. In-Context LoRA weights are used to condition the video based on edge, depth, or pose videos. Only change this from `match_preprocessor` if your videos are already preprocessed (or you are using the detailer.) · Options: match_preprocessor, canny, depth, pose, detailer, none · Default: "match_preprocessor"
match_preprocessorcannydepthposedetailernone
end_imagestringOptionalThe URL of the image to use as the end of the video.
num_framesintegerOptionalThe number of frames to generate. · Min: 9 · Max: 481 · Default: 121
video_sizestringOptionalThe 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_lorastringOptionalThe 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
preprocessorstringOptionalThe preprocessor to use for the video. When a preprocessor is used and `ic_lora_type` is set to `match_preprocessor`, the IC-LoRA will be loaded based on the preprocessor type. · Options: depth, canny, pose, none · Default: "none"
depthcannyposenone
ic_lora_scalenumberOptionalThe scale of the IC-LoRA to use. This allows you to control the strength of the IC-LoRA. · Min: 0 · Max: 1 · Default: 1
video_qualitystringOptionalThe quality of the generated video. · Options: low, medium, high, maximum · Default: "high"
lowmediumhighmaximum
audio_strengthnumberOptionalAudio conditioning strength. Lower values represent more freedom given to the model to change the audio content. · Min: 0 · Max: 1 · Default: 1
generate_audiobooleanOptionalWhether to generate audio for the video. · Default: true
guidance_scalenumberOptionalThe guidance scale to use. · Min: 1 · Max: 10 · Default: 3
image_strengthnumberOptionalThe strength of the image to use for the video generation. · Min: 0 · Max: 1 · Default: 1
use_multiscalebooleanOptionalWhether 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_strengthnumberOptionalVideo conditioning strength. Lower values represent more freedom given to the model to change the video content. · Min: 0 · Max: 1 · Default: 1
match_input_fpsbooleanOptionalWhen true, match the output FPS to the input video's FPS instead of using the default target FPS. · Default: true
video_write_modestringOptionalThe write mode of the generated video. · Options: fast, balanced, small · Default: "balanced"
fastbalancedsmall
camera_lora_scalenumberOptionalThe 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_typestringOptionalThe 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_strengthnumberOptionalThe strength of the end image to use for the video generation. · Min: 0 · Max: 1 · Default: 1
match_video_lengthbooleanOptionalWhen enabled, the number of frames will be calculated based on the video duration and FPS. When disabled, use the specified num_frames. · Default: true
num_inference_stepsintegerOptionalThe number of inference steps to use. · Min: 8 · Max: 50 · Default: 40
02

Output Schema

FieldTypeDescription
idstringUnique identifier for the generation task
statusstringTask status: pending, running, completed, failed, timeout
modelstringModel used for the generation
outputsarrayArray of output items
outputs[].urlstringURL of the generated artifact
outputs[].content_typestringMIME type (e.g. image/png, video/mp4)
errorobject | nullError details if failed, null on success
error.typestringMachine-readable error type code
error.messagestringHuman-readable error description

Async Workflow

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

  1. Submit — POST to /v1/run, receive an id
  2. Poll — GET /v1/run/{id} until status is completed, failed, or timeout
  3. Retrieve — Read outputs from the completed response
03

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/video-to-video",
  "fps": 25,
  "video": "https://static.sandbase.ai/examples/lightricks/ltx-2-19b/video-to-video/input_video_0.mp4",
  "prompt": "black-and-white video, a cowboy walks through a dusty town, film grain",
  "ic_lora": "match_preprocessor",
  "num_frames": 121,
  "video_size": "auto",
  "camera_lora": "none",
  "preprocessor": "none",
  "ic_lora_scale": 1,
  "video_quality": "high",
  "audio_strength": 1,
  "generate_audio": true,
  "guidance_scale": 3,
  "image_strength": 1,
  "use_multiscale": true,
  "video_strength": 1,
  "match_input_fps": true,
  "video_write_mode": "balanced",
  "camera_lora_scale": 1,
  "video_output_type": "X264 (.mp4)",
  "end_image_strength": 1,
  "match_video_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"