Model reference · open weights

ToonComposer

Video TencentARC Image→video 1 build Open weights 0 dl/mo

ToonComposer is an open-weight video model from TencentARC. ToonComposer (BF16) weighs 356 MB; the smallest configuration that runs it is RTX 3060 12 GB.

  • ToonComposer is an image-to-video model developed by TencentARC that streamlines traditional cartoon and anime production.
  • It uses generative AI to automate the manual processes of inbetweening and colorization, reducing hours of artist work into a single seamless process.
  • The model is published under the MIT license and supports English.

Summary of the TencentARC/ToonComposer model card, 2026-10-01

What it is

Released byTencentARC
Released2025-08-15
VRAM356 MB for the weights

What it runs on

Memory and cards for ToonComposer (BF16)

356 MBweights, file size
178 MBbiggest part
537 MBruntime overhead
CardWeightsMemory
RTX 3060 12 GBfits11.6 GB
RTX 4060 Ti 16 GBfits15.4 GB
RTX 3090 24 GBfits23.4 GB
RTX 4090 24 GBfits23.4 GB
RTX 5090 32 GBfits31.0 GB
L40S 48 GBfits44.0 GB
A100 80 GBfits78.2 GB
H100 80 GBfits78.1 GB
RTX PRO 6000 Blackwell 96 GBfits93.8 GB
DGX Spark (GB10) 128 GB unifiedfits107 GB
H200 141 GBfits138 GB
B200 180 GBfits176 GB

From the model card

What TencentARC says about ToonComposer

Read the model card

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}
}

Quoted from the model card on Hugging Face. The full card is behind the Hugging Face link above.

How it works

How video models work

Prompt / imagestart pointTemporal diffusionframes over timeVideoMP4 clipA video model generates a sequence of coherent frames from your prompt or a starting image.

Running it yourself

Run it on a rented GPU

Rent a machine by the hour. How to run this model is on its model card.

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