API reference · Lightricks
lightricks/ltx-2-19b/video-to-video
Integrate this model through SandBase's unified API, with production-ready schemas and examples.
Production endpoint
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OpenAI-compatible endpoint with unified authentication and usage tracking.
POST
https://api.sandbase.ai/v1/runModel ID
lightricks/ltx-2-19b/video-to-video01
Input Schema
27 parameters · 2 required · 25 optional
| Parameter | Type | Required | Description |
|---|---|---|---|
image | string | Required | An 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 | An 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. |
video | string | Optional | The URL of the video to generate the video from. |
ic_lora | string | Optional | The 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_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. · 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 |
preprocessor | string | Optional | The 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_scale | number | Optional | The 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_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 |
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 |
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 |
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_video_length | boolean | Optional | When 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_steps | integer | Optional | The number of inference steps to use. · Min: 8 · Max: 50 · Default: 40 |
02
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, ortimeout - Retrieve — Read
outputsfrom 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"
