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--- |
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license: apache-2.0 |
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language: |
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- en |
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pipeline_tag: image-to-video |
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datasets: |
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- BestWishYsh/ConsisID-preview-Data |
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base_model: |
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- THUDM/CogVideoX-5b |
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- THUDM/CogVideoX1.5-5B-I2V |
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base_model_relation: finetune |
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library_name: diffusers |
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tags: |
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- IPT2V |
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--- |
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<div align=center> |
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<img src="https://github.com/PKU-YuanGroup/ConsisID/blob/main/asserts/ConsisID_logo.png?raw=true" width="150px"> |
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</div> |
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<h1 align="center"> <a href="https://pku-yuangroup.github.io/ConsisID">Identity-Preserving Text-to-Video Generation by Frequency Decomposition</a></h1> |
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<h5 align="center"> If you like our project, please give us a star ⭐ on GitHub for the latest update. </h2> |
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## 😍 Gallery |
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Identity-Preserving Text-to-Video Generation. |
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[](https://www.youtube.com/watch?v=PhlgC-bI5SQ) |
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or you can click <a href="https://github.com/SHYuanBest/shyuanbest_media/raw/refs/heads/main/ConsisID/showcase_videos.mp4">here</a> to watch the video. |
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## Description |
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- **Repository:** [Code](https://github.com/PKU-YuanGroup/ConsisID), [Page](https://pku-yuangroup.github.io/ConsisID/), [Data](https://huggingface.co/datasets/BestWishYsh/ConsisID-preview-Data) |
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- **Paper:** arxiv.org/abs/2411.17440 |
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- **Point of Contact:** [Shenghai Yuan]([email protected]) |
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## ✏️ Citation |
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If you find our paper and code useful in your research, please consider giving a star and citation. |
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```BibTeX |
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@article{yuan2024identity, |
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title={Identity-Preserving Text-to-Video Generation by Frequency Decomposition}, |
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author={Yuan, Shenghai and Huang, Jinfa and He, Xianyi and Ge, Yunyuan and Shi, Yujun and Chen, Liuhan and Luo, Jiebo and Yuan, Li}, |
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journal={arXiv preprint arXiv:2411.17440}, |
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year={2024} |
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} |
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``` |
