API reference · Lightricks
lightricks/ltx-2-19b/video-to-video/lora
Integrate this model through SandBase's unified API, with production-ready schemas and examples.
Production endpoint
Send your first request
OpenAI-compatible endpoint with unified authentication and usage tracking.
POST
https://api.sandbase.ai/v1/runModel ID
lightricks/ltx-2-19b/video-to-video/lora01
Input Schema
17 parameters · 2 required · 15 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. |
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. |
loras | array | Optional | — |
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. |
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 |
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 | 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 |
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 |
end_image_strength | number | Optional | The strength of the end image to use for the video generation. · Min: 0 · Max: 1 · Default: 1 |
num_inference_steps | integer | Optional | Min: 8 · Max: 50 · Default: 40 |
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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/lora",
"video": "https://static.sandbase.ai/examples/lightricks/ltx-2-19b/video-to-video/lora/input_video_0.mp4",
"prompt": "black-and-white video, a cowboy walks through a dusty town, film grain",
"ic_lora": "match_preprocessor",
"preprocessor": "none",
"ic_lora_scale": 1,
"audio_strength": 1,
"generate_audio": true,
"guidance_scale": 3,
"image_strength": 1,
"video_strength": 1,
"end_image_strength": 1,
"num_inference_steps": 40
}'
# Step 2: Poll result (replace <id>)
curl https://api.sandbase.ai/v1/run/<id> \
-H "Authorization: Bearer YOUR_API_KEY"
