---
title: LTX-2.3 Turbo
emoji: ⚡
colorFrom: purple
colorTo: blue
sdk: gradio
sdk_version: 5.23.0
python_version: '3.12'
app_file: app.py
pinned: false
license: other
license_name: ltx-2-community-license-agreement
license_link: https://github.com/Lightricks/LTX-2/blob/main/LICENSE
short_description: LTX-2.3 video+audio generation on free ZeroGPU
---

# LTX-2.3 Turbo (ZeroGPU)

Generate synchronized **video + audio** from text or images using
[Lightricks/LTX-2.3](https://huggingface.co/Lightricks/LTX-2.3) — a 22B
parameter DiT-based audio-video foundation model — running on **free ZeroGPU**
hardware.

## How it works

This Space uses a **vendored packages + pre-loaded models** strategy
(inspired by [alexnasa/ltx-2-TURBO](https://huggingface.co/spaces/alexnasa/ltx-2-TURBO))
to run the massive 22B model on ZeroGPU:

1. **Startup**: Downloads model files, constructs `ModelLedger`, loads the
   Gemma-3 12B text encoder, and pre-loads the FP8-quantized transformer +
   video encoder into the pipeline cache.
2. **Text Encoding** (`@spaces.GPU`): Uses the pre-loaded text encoder to
   encode the prompt into video/audio context tensors, returned to CPU.
3. **Video Generation** (`@spaces.GPU`): Runs the two-stage distilled
   denoising pipeline (8 steps low-res + 4 steps high-res with 2x spatial
   upscaling) using pre-encoded contexts, then decodes video and audio.

### Key optimizations for ZeroGPU

- **Vendored packages**: `ltx-core` and `ltx-pipelines` are vendored directly
  in the repo for faster builds and customized ZeroGPU compatibility.
- **FP8 quantization**: Transformer weights are cast to `float8_e4m3fn`,
  halving VRAM usage with minimal quality impact.
- **Pre-loaded models**: Text encoder, transformer, and video encoder are
  loaded once at startup and kept in memory across requests.
- **Distilled pipeline**: Only 8+4 denoising steps (vs 30+ for the full model),
  dramatically reducing inference time.

## Parameters

| Parameter | Range | Default | Notes |
|-----------|-------|---------|-------|
| Mode | Text to Video / Image to Video | Text to Video | |
| Prompt | Free text | — | Describe scene, motion, and audio |
| Resolution | 768x512, 512x512, 512x768 | 768x512 | Upscaled 2x by spatial upscaler |
| Duration | 1–5 seconds | 2s | Shorter = more reliable on ZeroGPU |
| Enhance prompt | On/Off | On | Uses Gemma to enhance the prompt |
| Seed | 0–2^31 | Random | For reproducibility |

## Limitations

- **ZeroGPU time limits**: Longer videos may exceed the GPU lease duration.
  Keep duration at 3 seconds or less for best reliability.
- **VRAM constraints**: Even with FP8 quantization, very high resolutions
  are not possible. The preset resolutions are tuned for ZeroGPU.
- **No audio conditioning**: This simplified interface doesn't support
  custom audio input (the full model does).

## Credits

- Model: [Lightricks/LTX-2.3](https://huggingface.co/Lightricks/LTX-2.3)
- Codebase: [Lightricks/LTX-2](https://github.com/Lightricks/LTX-2)
- ZeroGPU architecture inspired by [alexnasa/ltx-2-TURBO](https://huggingface.co/spaces/alexnasa/ltx-2-TURBO)