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license: apache-2.0
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---
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# FastVideo FastWan2.2-TI2V-5B-
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<p align="center">
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<img src="https://raw.githubusercontent.com/hao-ai-lab/FastVideo/main/assets/logo.png" width="200"/>
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</p>
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Training was conducted on **8 nodes with 64 H200 GPUs** in total, using a `global batch size = 64`, and training runs for **3000 steps (~12 hours)**
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If you use the FastWan2.2-TI2V-5B-
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```
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@article{zhang2025vsa,
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title={VSA: Faster Video Diffusion with Trainable Sparse Attention},
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license: apache-2.0
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---
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# FastVideo FastWan2.2-TI2V-5B-Diffusers-FullAttn Model
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<p align="center">
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<img src="https://raw.githubusercontent.com/hao-ai-lab/FastVideo/main/assets/logo.png" width="200"/>
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</p>
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Training was conducted on **8 nodes with 64 H200 GPUs** in total, using a `global batch size = 64`, and training runs for **3000 steps (~12 hours)**
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If you use the FastWan2.2-TI2V-5B-Diffusers-FullAttn model for your research, please cite our paper:
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```
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@article{zhang2025vsa,
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title={VSA: Faster Video Diffusion with Trainable Sparse Attention},
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