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