metadata
license: apache-2.0
license: apache-2.0
FastVideo FastWan2.1-T2V-1.3B-Diffusers Model
Model Overview
- This model is jointly finetuned with DMD and VSA, based on Wan-AI/Wan2.1-T2V-1.3B-Diffusers.
- It supports 3-step inference and achieves up to 20 FPS on a single H100 GPU.
- Both finetuning and inference scripts are available in the FastVideo repository.
- Try it out on FastVideo — we support a wide range of GPUs from H100 to 4090, and even support Mac users!
If you use FastWan2.1-T2V-1.3B-Diffusers model for your research, please cite our paper:
@article{zhang2025vsa,
title={VSA: Faster Video Diffusion with Trainable Sparse Attention},
author={Zhang, Peiyuan and Huang, Haofeng and Chen, Yongqi and Lin, Will and Liu, Zhengzhong and Stoica, Ion and Xing, Eric and Zhang, Hao},
journal={arXiv preprint arXiv:2505.13389},
year={2025}
}
@article{zhang2025fast,
title={Fast video generation with sliding tile attention},
author={Zhang, Peiyuan and Chen, Yongqi and Su, Runlong and Ding, Hangliang and Stoica, Ion and Liu, Zhengzhong and Zhang, Hao},
journal={arXiv preprint arXiv:2502.04507},
year={2025}
}