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Improve model card: add pipeline tag, library name, update links, and citation

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This PR enhances the model card for Video-BLADE by:

- Adding `pipeline_tag: text-to-video` to improve discoverability on the Hugging Face Hub under the text-to-video models.
- Specifying `library_name: diffusers`, as the project explicitly uses the Diffusers library, enabling better integration and showing the "Use in Diffusers" button.
- Updating the "Paper" link to the official Hugging Face Papers page: https://huggingface.co/papers/2508.10774.
- Correcting the "Homepage" link to the actual project homepage: https://ziplab.co/BLADE-Homepage/.
- Adding an explicit "Code" link to the GitHub repository: https://github.com/Tacossp/VIDEO-BLADE.
- Updating the BibTeX citation to include complete author and year information, using the entry from the official GitHub repository.

Files changed (1) hide show
  1. README.md +17 -10
README.md CHANGED
@@ -1,11 +1,14 @@
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  ---
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  license: apache-2.0
 
 
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  ---
 
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  # Video-BLADE: Block-Sparse Attention Meets Step Distillation for Efficient Video Generation
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  <div align="center">
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- [πŸ“– Paper](https://tacossp.github.io/BLADE-Homepage/) | [πŸš€ Homepage](https://www.google.com/search?q=%23-quick-start) | [πŸ’Ύ Models](https://huggingface.co/GYP666/VIDEO-BLADE) | [πŸ“– δΈ­ζ–‡ι˜…θ―»](README_zh.md)
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  </div>
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@@ -28,10 +31,10 @@ Video-BLADE is a data-free framework for efficient video generation. By jointly
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  ### System Requirements
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- - Python \>= 3.11 (Recommended)
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- - CUDA \>= 11.6 (Recommended)
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- - GPU Memory \>= 24GB (for Inference)
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- - GPU Memory \>= 80GB (for Training)
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  ### Installation Steps
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@@ -269,10 +272,14 @@ VIDEO-BLADE/
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  If you use Video-BLADE in your research, please cite our work:
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  ```bibtex
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- @article{video-blade-2024,
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- title={Video-BLADE: Block-Sparse Attention Meets Step Distillation for Efficient Video Generation},
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- author={},
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- year={2024}
 
 
 
 
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  }
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  ```
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@@ -281,4 +288,4 @@ If you use Video-BLADE in your research, please cite our work:
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  For any questions or suggestions, feel free to:
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  - Contact Youping Gu at youpgu71@gmail.com.
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- - Submit an issue on our [Github page](https://github.com/Tacossp/VIDEO-BLADE/issues).
 
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  ---
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  license: apache-2.0
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+ pipeline_tag: text-to-video
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+ library_name: diffusers
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  ---
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+
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  # Video-BLADE: Block-Sparse Attention Meets Step Distillation for Efficient Video Generation
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  <div align="center">
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+ [πŸ“– Paper](https://huggingface.co/papers/2508.10774) | [πŸš€ Homepage](https://ziplab.co/BLADE-Homepage/) | [πŸ’» Code](https://github.com/Tacossp/VIDEO-BLADE) | [πŸ’Ύ Models](https://huggingface.co/GYP666/VIDEO-BLADE) | [πŸ“– δΈ­ζ–‡ι˜…θ―»](README_zh.md)
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  </div>
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  ### System Requirements
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+ - Python >= 3.11 (Recommended)
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+ - CUDA >= 11.6 (Recommended)
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+ - GPU Memory >= 24GB (for Inference)
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+ - GPU Memory >= 80GB (for Training)
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  ### Installation Steps
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  If you use Video-BLADE in your research, please cite our work:
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  ```bibtex
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+ @misc{gu2025videobladeblocksparseattentionmeets,
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+ title={Video-BLADE: Block-Sparse Attention Meets Step Distillation for Efficient Video Generation},
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+ author={Youping Gu and Xiaolong Li and Yuhao Hu and Bohan Zhuang},
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+ year={2025},
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+ eprint={2508.10774},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.CV},
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+ url={https://arxiv.org/abs/2508.10774},
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  }
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  ```
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  For any questions or suggestions, feel free to:
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  - Contact Youping Gu at youpgu71@gmail.com.
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+ - Submit an issue on our [Github page](https://github.com/Tacossp/VIDEO-BLADE/issues).