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This repository is the official implementation of [AnimateDiff](https://arxiv.org/abs/2307.04725). This repository is the official implementation of [AnimateDiff](https://arxiv.org/abs/2307.04725).
It is a plug-and-play module turning most community models into animation generators, without the need of additional training. It is a plug-and-play module turning most community models into animation generators, without the need of additional training.
**[AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning](https://arxiv.org/abs/2307.04725)** **[AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning](https://arxiv.org/abs/2307.04725)** [ICLR2024 Spotlight]
</br> </br>
[Yuwei Guo](https://guoyww.github.io/), [Yuwei Guo](https://guoyww.github.io/),
[Ceyuan Yang*](https://ceyuan.me/), [Ceyuan Yang*](https://ceyuan.me/),
[Anyi Rao](https://anyirao.com/), [Anyi Rao](https://anyirao.com/),
[Zhengyang Liang](https://maxleung99.github.io/),
[Yaohui Wang](https://wyhsirius.github.io/), [Yaohui Wang](https://wyhsirius.github.io/),
[Yu Qiao](https://scholar.google.com.hk/citations?user=gFtI-8QAAAAJ), [Yu Qiao](https://scholar.google.com.hk/citations?user=gFtI-8QAAAAJ),
[Maneesh Agrawla](https://graphics.stanford.edu/~maneesh/),
[Dahua Lin](http://dahua.site), [Dahua Lin](http://dahua.site),
[Bo Dai](https://daibo.info) [Bo Dai](https://daibo.info)
(*Corresponding Author) (*Corresponding Author)
@@ -379,9 +381,9 @@ Please refer to [ANIMATEDIFF](./__assets__/docs/animatediff.md) for the detailed
``` ```
@article{guo2023animatediff, @article{guo2023animatediff,
title={AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning}, title={AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning},
author={Guo, Yuwei and Yang, Ceyuan and Rao, Anyi and Wang, Yaohui and Qiao, Yu and Lin, Dahua and Dai, Bo}, author={Guo, Yuwei and Yang, Ceyuan and Rao, Anyi and Liang, Zhengyang and Wang, Yaohui and Qiao, Yu and Agrawala, Maneesh and Lin, Dahua and Dai, Bo},
journal={arXiv preprint arXiv:2307.04725}, journal={International Conference on Learning Representations},
year={2023} year={2024}
} }
@article{guo2023sparsectrl, @article{guo2023sparsectrl,