# LTX-23-Video

> Lightricks LTX 2.3 distilled-1.1 FP8 on RTX 6000 Pro — cinematic T2V, I2V, and keyframe interpolation with 8-step inference, synchronized audio, and GPU prompt enhancement.

This file is intended for AI coding agents wiring an application to this specific Chutes model.

## Important URLs

- Model page: https://chutes.ai/app/chute/vonkaiser-ltx-23-video
- Model llms.txt: https://chutes.ai/app/chute/vonkaiser-ltx-23-video/llms.txt
- Global Chutes llms.txt: https://chutes.ai/llms.txt
- Full Chutes docs export: https://chutes.ai/llms-full.txt
- OpenAPI schema: https://api.chutes.ai/openapi.json

## Model Identifiers

- Name: `LTX-23-Video`
- Chute ID: `77711d2c-c0ec-5378-90a9-41823591058b`
- Slug: `vonkaiser-ltx-23-video`
- Owner: `vonkaiser`

## Authentication

- Use `Authorization: Bearer $CHUTES_API_KEY` for inference calls.
- Send JSON request bodies with `Content-Type: application/json` unless the endpoint documentation says otherwise.
- The request body is FLAT — send the request fields at the top level (no `input_args`/`args` wrapper).
- This model is served on its own host (`https://vonkaiser-ltx-23-video.chutes.ai`). Call the endpoint paths listed below directly.
- For base64 media fields, send raw base64 strings in API requests. The web playground may use temporary Blob upload references internally for large files before proxying to Chutes.

## Endpoints

### 1. POST /generate

- Base URL: `https://vonkaiser-ltx-23-video.chutes.ai`
- Output content type: `text/plain`

Request fields:

- `fps` (number, optional) - Output frame rate (8–50). Default 24. Default: null.
- `seed` (integer, optional) Default: null.
- `width` (integer, optional) Default: 768.
- `frames` (integer, optional) - Alias for num frames. Default: null.
- `height` (integer, optional) Default: 512.
- `prompt` (string, required)
- `duration` (number, optional) - Target clip length in seconds. With default 24 fps, derives frame count. If frames are set but fps omitted, fps is derived from duration for the output MP4. Default: null.
- `keyframes` (array, optional) - List of 2+ keyframes for multi-image interpolation. Each entry: {image b64, frame idx, strength?, crf?}. At least one keyframe must have frame idx=0. Takes precedence over input image b64 when provided. Default: null.
- `num_frames` (integer, optional) - Frame count (snapped to N×8+1). Omit to derive from duration×fps. Default: null.
- `return_json` (boolean, optional) Default: false.
- `video_format` (string, optional) Default: "mp4". Options: mp4, webm.
- `enhance_prompt` (boolean, optional) - Expand the prompt before generation with Llama 3.2 3B Instruct on GPU (SGLang); for I2V/keyframe also runs Florence-2 image captioning on the first image. Off by default — adds 1–3 s of latency. Default: false.
- `generate_audio` (boolean, optional) Default: true.
- `guidance_scale` (number, optional) Default: 3.1.
- `input_image_b64` (string, optional) - Base64 image for legacy single-image I2V (PNG/JPEG). Use keyframes instead for multi-image interpolation. Default: null.
- `negative_prompt` (string, optional) Default: "shaky, glitchy, low quality, worst quality, deformed, distorted".
- `use_random_seed` (boolean, optional) Default: true.
- `num_inference_steps` (integer, optional) - Ignored — always 8 for the pre-distilled model. Any value provided is silently overridden to 8. Default: 8.

Example call:

```bash
curl -X POST "https://vonkaiser-ltx-23-video.chutes.ai/generate" \
  -H "Authorization: Bearer $CHUTES_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "seed": 42,
  "width": 768,
  "height": 512,
  "prompt": "a serene mountain lake at sunset",
  "return_json": false,
  "video_format": "mp4",
  "enhance_prompt": false,
  "generate_audio": true,
  "guidance_scale": 3.1,
  "negative_prompt": "shaky, glitchy, low quality, worst quality, deformed, distorted",
  "use_random_seed": true,
  "num_inference_steps": 8
}' \
  --output output.bin
```

### 2. GET /health

- Base URL: `https://vonkaiser-ltx-23-video.chutes.ai`
- Output content type: `application/json`

Request fields:


Example call:

```bash
curl -X GET "https://vonkaiser-ltx-23-video.chutes.ai/health" \
  -H "Authorization: Bearer $CHUTES_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{}'
```

### 3. GET /models

- Base URL: `https://vonkaiser-ltx-23-video.chutes.ai`
- Output content type: `application/json`

Request fields:


Example call:

```bash
curl -X GET "https://vonkaiser-ltx-23-video.chutes.ai/models" \
  -H "Authorization: Bearer $CHUTES_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{}'
```

## Agent Integration Checklist

- Pick the endpoint path that matches the desired task.
- Set `CHUTES_API_KEY` in the server-side environment only.
- Validate required fields before sending requests.
- For media models, keep file upload, base64 conversion, and output preview/download handling explicit in the app UI.