lightricks/ltx-2-19b/distilled/video-to-video/lora
Ltx 2 19b Distilled Video To Video is Lightricks's video-to-video AI model. Transform, enhance, and edit video content using text prompts - from style changes to object manipulation and scene modification.
PNG, JPEG, WebP, or GIF · 20 MiB maximum
PNG, JPEG, WebP, or GIF · 20 MiB maximum
Example output — click Run to generate your own
Send your first request
OpenAI-compatible endpoint with unified authentication and usage tracking.
https://api.sandbase.ai/v1/runlightricks/ltx-2-19b/distilled/video-to-video/loraInput Schema
15 parameters · 2 required · 13 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 |
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 |
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
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/distilled/video-to-video/lora",
"video": "https://static.sandbase.ai/examples/lightricks/ltx-2-19b/distilled/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,
"image_strength": 1,
"video_strength": 1,
"end_image_strength": 1
}'
# Step 2: Poll result (replace <id>)
curl https://api.sandbase.ai/v1/run/<id> \
-H "Authorization: Bearer YOUR_API_KEY"API README
LTX-2 19B Distilled
LTX-2 19B Distilled is a video transformation with custom LoRA adapters endpoint in the LTX 2 19B family. It is built for creators who need to turn a concrete creative brief into a controlled visual sequence: the request establishes the source material, the intended subject behavior, the camera language, and the atmosphere of the finished shot. The distilled, LoRA-enabled route keeps that workflow explicit instead of hiding its input assumptions behind a generic video-generation label.
In practice, this route accepts image, video, audio, end image, loras as creative context and exposes generate audio, image strength, video strength for delivery planning. That makes it suitable for shot-based pipelines where teams must preserve a source, direct a transformation, or control the final format without losing sight of the model's central task. Write prompts as a compact shot plan—subject, action, setting, camera, light, and timing—then use the structured fields for constraints that should remain deterministic across iterations.
Highlights
- Whole-clip transformation. The
videoinput is the visual timeline to reinterpret; the prompt specifies the desired treatment and motion outcome. - Adjustable source fidelity.
video_strengthbalances preservation of the input clip against freedom to transform it. - Soundtrack-aware processing. Existing or supplied audio can condition the result, with
audio_strengthcontrolling its influence. - Route-specific LoRA conditioning. The
lorasarray adds learned styling or concepts to this video to video workflow without replacing its required source inputs. Forlightricks/ltx-2-19b/distilled/video-to-video/lora, this task-specific control is documented alongside the route’s own required inputs.
Pricing
| Billing unit | Price |
|---|---|
| Base request | $0.001000 |
When to Use
| Scenario | Recommendation |
|---|---|
| Choose this route | Use it when the deliverable specifically calls for video transformation with custom LoRA adapters, rather than a neighboring generation mode. |
| Prepare the source | Provide image, video, audio in the format described by the request schema. |
| Direct the shot | Describe the subject, action, environment, camera movement, lighting, and temporal progression in that order. |
| Control continuity | Use endpoint frames, reference media, strength, or audio controls when those fields are available instead of burying hard constraints in prose. |
| Plan delivery | Set duration, frame count, resolution, and aspect ratio explicitly when the schema exposes them, then compare iterations with a stable seed where supported. |
Prompt Guide
For video transformation with custom LoRA adapters, describe one coherent shot rather than a list of visual keywords. Put the main subject and action first, follow with location and staging, then add camera movement, lens or framing, lighting, mood, and any timed change. Keep URLs and hard delivery choices in their dedicated fields.
{
"prompt": "black-and-white video, a cowboy walks through a dusty town, film grain",
"image": "https://example.com/reference.jpg",
"generate_audio": true,
"video": "https://static.sandbase.ai/examples/lightricks/ltx-2-19b/distilled/video-to-video/lora/input_video_0.mp4",
"audio": "https://example.com/soundtrack.mp3",
"end_image": "https://example.com/reference.jpg"
}
Technical Specs
| Specification | Value |
|---|---|
| Model ID | lightricks/ltx-2-19b/distilled/video-to-video/lora |
| Required inputs | prompt, image |
| Execution | Asynchronous generation job |
| Request controls | 15 documented fields |
| Output | url, content_type |
Request fields
| Field | Type and constraints |
|---|---|
seed | integer; Optional |
audio | string; Optional |
image | string; Required |
loras | array; Optional |
video | string; Optional |
prompt | string; Required |
ic_lora | string; Optional; Options: match_preprocessor, canny, depth, pose, detailer, none; Default: "match_preprocessor" |
end_image | string; Optional |
preprocessor | string; Optional; Options: depth, canny, pose, none; Default: "none" |
ic_lora_scale | number; Optional; Range: 0–1; Default: 1 |
audio_strength | number; Optional; Range: 0–1; Default: 1 |
generate_audio | boolean; Optional; Default: true |
image_strength | number; Optional; Range: 0–1; Default: 1 |
video_strength | number; Optional; Range: 0–1; Default: 1 |
end_image_strength | number; Optional; Range: 0–1; Default: 1 |

