---
language:
- en
library_name: diffusers
base_model:
- Lightricks/LTX-2.3
license: other
license_name: ltx-2-community-license
license_link: https://github.com/Lightricks/LTX-2/blob/main/LICENSE
pipeline_tag: any-to-any
tags:
- ltx-video
- video-to-video
- dubbing
- lipdub
- ic-lora
extra_gated_description: >-
  By clicking "Agree and Access" you acknowledge the [Privacy
  Policy](https://static.lightricks.com/legal/Privacy%20Policy%20-%20LTX%20Platform.pdf) 
  and consent to receive offers and updates. You can unsubscribe at any time.
extra_gated_button_content: Agree and Access
---

# LTX-2.3 22B IC-LoRA LipDub

This is an IC-LoRA trained on top of **LTX-2.3-22b**, enabling lip dubbing on top of the LTX model.

It is based on the [LTX-2](https://huggingface.co/papers/2601.03233) foundation model.

*   **Project Page:** [JustDubIt project page](https://justdubit.github.io/)
*   **Paper:** [JustDubIt paper](https://arxiv.org/abs/2601.22143)
*   **Code:** [GitHub Repository](https://github.com/Lightricks/LTX-2)
*   **Inference Pipeline:** [`packages/ltx-pipelines/src/ltx_pipelines/lipdub.py`](https://github.com/Lightricks/LTX-2/blob/main/packages/ltx-pipelines/src/ltx_pipelines/lipdub.py)

## Model Files

`ltx-2.3-22b-ic-lora-lipdub-0.9.safetensors`

## License

See the **LTX-2-community-license** for full terms.

## Model Details

*   **Base Model:** LTX-2.3
*   **Training Type:** IC-LoRA
*   **Control Type:** Video & Audio
*   **Reference Downscale Factor:** 1 (reference resolution is the same as output resolution)

### 🔌 Using in ComfyUI

1.  Copy the LoRA weights into `models/loras`.
2.  Use the official lipdub workflow from the [LTX-2 ComfyUI repository](https://github.com/Lightricks/ComfyUI-LTXVideo/).

## Dataset

The model was trained using a lip-dubbing dataset.

## Citation

```bibtex
@article{chen2026just,
  title={JUST-DUB-IT: Video Dubbing via Joint Audio-Visual Diffusion},
  author={Chen, Anthony and Korem, Naomi Ken and Zeevi, Gal and Halperin, Tavi and Yosef, Matan Ben and Jelercic, Urska and Bibi, Ofir and Patashnik, Or and Cohen-Or, Daniel},
  journal={arXiv preprint arXiv:2601.22143},
  year={2026}
}
```

## Acknowledgments

- Base model by **Lightricks**
- Training infrastructure: **LTX-2 Community Trainer**