lightricks/ltx-2.3-22b/video-to-video
Ltx 2.3 22b Video To Video by Lightricks - AI-powered video editing and transformation. Apply style transfer, motion control, lip-sync, and visual effects to existing videos with natural language instructions.
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-2.3-22b/video-to-videoInput Schema
4 parameters · 1 required · 3 optional
| Parameter | Type | Required | Description |
|---|---|---|---|
prompt | string | Required | The prompt to generate the video from. |
video | string | Optional | The URL of the video to generate the video from. |
aspect_ratio | string | Optional | The aspect ratio of the generated video. · Options: 16:9, 9:16, 4:3, 3:4, 1:1 · Default: "16:9" 16:99:164:33:41:1 |
generate_audio | boolean | Optional | Whether to generate audio for the video. · Default: true |
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-2.3-22b/video-to-video",
"video": "https://static.sandbase.ai/examples/lightricks/ltx-2.3-22b/video-to-video/input_video_0.mp4",
"prompt": "style: cinematic/realistic. A man wearing a baseball cap walks through a modern town. He holds a coffee cup.",
"aspect_ratio": "16:9",
"generate_audio": true
}'
# Step 2: Poll result (replace <id>)
curl https://api.sandbase.ai/v1/run/<id> \
-H "Authorization: Bearer YOUR_API_KEY"API README
LTX 2.3 22B Video to Video
LTX 2.3 22B Video to Video is a video transformation endpoint in the LTX 2.3 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 standard route keeps that workflow explicit instead of hiding its input assumptions behind a generic video-generation label.
In practice, this route accepts video as creative context and exposes aspect ratio, generate audio 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. The source video remains the temporal basis while the prompt changes its rendition.
- Soundtrack-aware processing.
generate_audiodetermines whether sound is produced with the transformed clip. - LTX 2.3 22B endpoint framing. Aspect ratio provides an explicit delivery frame for the transformed video. This behavior is exposed on the named 22B route. For
lightricks/ltx-2.3-22b/video-to-video, this task-specific control is documented alongside the route’s own required inputs.
Pricing
| Billing unit | Price |
|---|---|
| Base request | $0.001605 |
When to Use
| Scenario | Recommendation |
|---|---|
| Choose this route | Use it when the deliverable specifically calls for video transformation, rather than a neighboring generation mode. |
| Prepare the source | Provide video 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, 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": "style: cinematic/realistic. A man wearing a baseball cap walks through a modern town. He holds a coffee cup.",
"aspect_ratio": "16:9",
"generate_audio": true,
"video": "https://static.sandbase.ai/examples/lightricks/ltx-2.3-22b/video-to-video/input_video_0.mp4"
}
Technical Specs
| Specification | Value |
|---|---|
| Model ID | lightricks/ltx-2.3-22b/video-to-video |
| Required inputs | prompt |
| Execution | Asynchronous generation job |
| Request controls | 4 documented fields |
| Output | url, content_type |
Request fields
| Field | Type and constraints |
|---|---|
video | string; Optional |
prompt | string; Required |
aspect_ratio | string; Optional; Options: 16:9, 9:16, 4:3, 3:4, 1:1; Default: "16:9" |
generate_audio | boolean; Optional; Default: true |

