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37
README.md
37
README.md
@@ -22,6 +22,31 @@ Bo Dai
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- [x] GPU Memory Optimization
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- [ ] Gradio Interface
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## Common Issues
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<details>
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<summary>Installation</summary>
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Please ensure the installation of [xformer](https://github.com/facebookresearch/xformers) that is applied to reduce the inference memory.
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</details>
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<details>
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<summary>Various resolution or number of frames</summary>
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Currently, we recommend users to generate animation with 16 frames and 512 resolution that are aligned with our training settings. Notably, various resolution/frames may affect the quality more or less.
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</details>
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<details>
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<summary>Animating a given image</summary>
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We totally agree that animating a given image is an appealing feature, which we would try to support officially in future. For now, you may enjoy other efforts from the [talesofai](https://github.com/talesofai/AnimateDiff).
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</details>
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<details>
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<summary>Contributions from community</summary>
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Contributions are always welcome!! We will create another branch which community could contribute to. As for the main branch, we would like to align it with the original technical report:)
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</details>
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## Setup for Inference
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### Prepare Environment
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@@ -193,13 +218,11 @@ Pose Model:<a href="https://civitai.com/models/107295/or-holdingsign">Hold Sig
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## BibTeX
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```
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@misc{guo2023animatediff,
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title={AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning},
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author={Yuwei Guo, Ceyuan Yang, Anyi Rao, Yaohui Wang, Yu Qiao, Dahua Lin, Bo Dai},
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year={2023},
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eprint={2307.04725},
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archivePrefix={arXiv},
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primaryClass={cs.CV}
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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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}
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```
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