Text-to-Video
EXCAI nielsr HF Staff commited on
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Add model card (#1)

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- Add model card (aa606a0eaf2e53ca80fba8e370f397958fb2cf0e)


Co-authored-by: Niels Rogge <nielsr@users.noreply.huggingface.co>

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  license: apache-2.0
 
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  license: apache-2.0
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+ pipeline_tag: text-to-video
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+ # ForcingBooster
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+ ForcingBooster is a general framework that dynamically allocates denoising steps to individual patches in autoregressive video diffusion models, reducing total computation by about 50% while maintaining visual quality comparable to the four-step baseline.
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+ - **Paper:** [ForcingBooster: Adaptive Patch-wise Denoising for Fast Autoregressive Video Diffusion](https://huggingface.co/papers/2610.12625)
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+ - **Project page:** [https://igl-hkust.github.io/ForcingBooster](https://igl-hkust.github.io/ForcingBooster)
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+ - **Code:** [https://github.com/IGL-HKUST/ForcingBooster](https://github.com/IGL-HKUST/ForcingBooster)
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+ - **Checkpoints:** [https://huggingface.co/EXCAI/ForcingBooster](https://huggingface.co/EXCAI/ForcingBooster)