metadata
license: apache-2.0
base_model:
- Wan-AI/Wan2.1-T2V-14B
pipeline_tag: text-to-video
Wan-Alpha
Wan-Alpha: High-Quality Text-to-Video Generation with Alpha Channel
Qualitative results of video generation using Wan-Alpha. Our model successfully generates various scenes with accurate and clearly rendered transparency. Notably, it can synthesize diverse semi-transparent objects, glowing effects, and fine-grained details such as hair.
🔥 News
- [2025.09.30] Released Wan-Alpha v1.0, the Wan2.1-14B-T2V–adapted weights and inference code are now open-sourced.
🌟 Showcase
Text-to-Video Generation with Alpha Channel
| Prompt | Preview Video | Alpha Video |
|---|---|---|
| "Medium shot. A little girl holds a bubble wand and blows out colorful bubbles that float and pop in the air. The background of this video is transparent. Realistic style." |  |
 |
For more results, please visit Our Website
🚀 Quick Start
Please see Github for code running details
## 🤝 Acknowledgements
This project is built upon the following excellent open-source projects:
* [DiffSynth-Studio](https://github.com/modelscope/DiffSynth-Studio) (training/inference framework)
* [Wan2.1](https://github.com/Wan-Video/Wan2.1) (base video generation model)
* [LightX2V](https://github.com/ModelTC/LightX2V) (inference acceleration)
* [WanVideo_comfy](https://huggingface.co/Kijai/WanVideo_comfy) (inference acceleration)
We sincerely thank the authors and contributors of these projects.
---
## ✏ Citation
If you find our work helpful for your research, please consider citing our paper:
```bibtex
@article{
}
📬 Contact Us
If you have any questions or suggestions, feel free to reach out via GitHub Issues . We look forward to your feedback!