Instructions to use TencentARC/ToonComposer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusion Single File
How to use TencentARC/ToonComposer with Diffusion Single File:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
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Download README.md from TencentARC/ToonComposer: direct link, hf CLI and curl.
- Browser
- Download file 2.17 kB
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https://huggingface.co/TencentARC/ToonComposer/resolve/main/README.md
- Command line
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hf download hf://TencentARC/ToonComposer/README.md
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curl -L -o README.md https://huggingface.co/TencentARC/ToonComposer/resolve/main/README.md
2.17 kB
metadata
license: mit
language:
- en
base_model:
- Wan-AI/Wan2.1-I2V-14B-480P
pipeline_tag: image-to-video
library_name: diffusion-single-file
tags:
- cartoon
- diffusion
ToonComposer: Streamlining Cartoon Production with Generative Post-Keyframing
ICLR 2026
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 and read our paper for more details. This HF model repo provides model weights of ToonComposer. Codes are available at our GitHub repo.
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}
}