---
license: mit
language:
- en
base_model:
- Wan-AI/Wan2.1-I2V-14B-480P
pipeline_tag: image-to-video
library_name: diffusers
---

<div align="center">
<img src='https://github.com/TencentARC/ToonComposer/raw/main/samples/ToonComposer-Icon.png' width='120px'>
</div>

<p align="center"> <b> ToonComposer: Streamlining Cartoon Production with Generative Post-Keyframing </b> </p>

<p align="center"> <a href='https://lg-li.github.io/project/tooncomposer'><img src='https://img.shields.io/badge/Project-Page-Green'></a> &nbsp;
 <a href='https://huggingface.co/TencentARC/ToonComposer'><img src='https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Model-blue'></a> &nbsp;
 <a href="https://arxiv.org/abs/2508.10881"><img src="https://img.shields.io/static/v1?label=ArxivPreprint&message=ToonComposer&color=red&logo=arxiv"></a> &nbsp;
 <a href="https://github.com/TencentARC/ToonComposer"><img src="https://img.shields.io/static/v1?label=Github&message=ToonComposer&color=black&logo=github"></a>
</p>

<div align="center">
<img src='https://github.com/TencentARC/ToonComposer/raw/main/samples/ToonComposer-TLDR.jpg' width='550px'>
</div>

Traditional cartoon/anime production is time-consuming, requiring skilled artists for keyframing, inbetweening, and colorization.
ToonComposer streamlines this with generative AI, turning hours of manual work of inbetweening and colorization into a single, seamless process. Visit our [project page](https://lg-li.github.io/project/tooncomposer) and read our [paper](https://arxiv.org/abs/2508.10881) for more details.
This HF model repo provides model weights of ToonComposer. Codes are available at [our GitHub repo](https://github.com/TencentARC/ToonComposer).

## Citation

If you find ToonComposer useful, please consider citing:

```
@article{li2025tooncomposer,
  title={ToonComposer: Streamlining Cartoon Production with Generative Post-Keyframing},
  author={Li, Lingen and Wang, Guangzhi and Zhang, Zhaoyang and Li, Yaowei and Li, Xiaoyu and Dou, Qi and Gu, Jinwei and Xue, Tianfan and Shan, Ying},
  journal={arXiv preprint arXiv:2508.10881},
  year={2025}
}
```