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The model trained with size 768\*768\*144 for [EasyAnimate](https://github.com/aigc-apps/EasyAnimate). We give a simple usage here, for more details, you can refer to [EasyAnimate](https://github.com/aigc-apps/EasyAnimate).
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# Result Gallery
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These are our generated results [GALLERY](scripts/Result_Gallery.md):
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<img src="https://pai-aigc-photog.oss-cn-hangzhou.aliyuncs.com/easyanimate/asset/group/person.jpg" alt="Person" width="30%"/>
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-
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# Reference
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- magvit: https://github.com/google-research/magvit
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- PixArt: https://github.com/PixArt-alpha/PixArt-alpha
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The model trained with size 768\*768\*144 for [EasyAnimate](https://github.com/aigc-apps/EasyAnimate). We give a simple usage here, for more details, you can refer to [EasyAnimate](https://github.com/aigc-apps/EasyAnimate).
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# Table of Contents
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- [Result Gallery](#result-gallery)
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- [How to use](#how-to-use)
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- [Model zoo](#model-zoo)
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- [Algorithm Detailed](#algorithm-detailed)
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- [TODO List](#todo-list)
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- [Contact Us](#contact-us)
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- [Reference](#reference)
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- [License](#license)
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# Result Gallery
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These are our generated results [GALLERY](scripts/Result_Gallery.md):
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<img src="https://pai-aigc-photog.oss-cn-hangzhou.aliyuncs.com/easyanimate/asset/group/person.jpg" alt="Person" width="30%"/>
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# Reference
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- magvit: https://github.com/google-research/magvit
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- PixArt: https://github.com/PixArt-alpha/PixArt-alpha
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