# TurboWan2.1-T2V-1.3B-480P - This HuggingFace repo contains the `TurboWan2.1-T2V-1.3B-480P` model. - For RTX 5090, RTX 4090, or similar GPUs, please use the `TurboWan2.1-T2V-1.3B-480P-quant`. For other GPUs with a bigger GPU memory than 40GB, we recommend using `TurboWan2.1-T2V-1.3B-480P`. - For usage instructions, please see **https://github.com/thu-ml/TurboDiffusion** - Paper: [TurboDiffusion: Accelerating Video Diffusion Models by 100-200 Times](https://arxiv.org/pdf/2512.16093) # Citation ``` @article{zhang2025turbodiffusion, title={TurboDiffusion: Accelerating Video Diffusion Models by 100-200 Times}, author={Zhang, Jintao and Zheng, Kaiwen and Jiang, Kai and Wang, Haoxu and Stoica, Ion and Gonzalez, Joseph E and Chen, Jianfei and Zhu, Jun}, journal={arXiv preprint arXiv:2512.16093}, year={2025} } @inproceedings{zhang2025sageattention, title={SageAttention: Accurate 8-Bit Attention for Plug-and-play Inference Acceleration}, author={Zhang, Jintao and Wei, Jia and Zhang, Pengle and Zhu, Jun and Chen, Jianfei}, booktitle={International Conference on Learning Representations (ICLR)}, year={2025} } @article{zhang2025sla, title={SLA: Beyond Sparsity in Diffusion Transformers via Fine-Tunable Sparse-Linear Attention}, author={Zhang, Jintao and Wang, Haoxu and Jiang, Kai and Yang, Shuo and Zheng, Kaiwen and Xi, Haocheng and Wang, Ziteng and Zhu, Hongzhou and Zhao, Min and Stoica, Ion and others}, journal={arXiv preprint arXiv:2509.24006}, year={2025} } @article{zheng2025rcm, title={Large Scale Diffusion Distillation via Score-Regularized Continuous-Time Consistency}, author={Zheng, Kaiwen and Wang, Yuji and Ma, Qianli and Chen, Huayu and Zhang, Jintao and Balaji, Yogesh and Chen, Jianfei and Liu, Ming-Yu and Zhu, Jun and Zhang, Qinsheng}, journal={arXiv preprint arXiv:2510.08431}, year={2025} } @inproceedings{zhang2024sageattention2, title={Sageattention2: Efficient attention with thorough outlier smoothing and per-thread int4 quantization}, author={Zhang, Jintao and Huang, Haofeng and Zhang, Pengle and Wei, Jia and Zhu, Jun and Chen, Jianfei}, booktitle={International Conference on Machine Learning (ICML)}, year={2025} } @article{zhang2025sageattention2++, title={Sageattention2++: A more efficient implementation of sageattention2}, author={Zhang, Jintao and Xu, Xiaoming and Wei, Jia and Huang, Haofeng and Zhang, Pengle and Xiang, Chendong and Zhu, Jun and Chen, Jianfei}, journal={arXiv preprint arXiv:2505.21136}, year={2025} } @article{zhang2025sageattention3, title={SageAttention3: Microscaling FP4 Attention for Inference and An Exploration of 8-Bit Training}, author={Zhang, Jintao and Wei, Jia and Zhang, Pengle and Xu, Xiaoming and Huang, Haofeng and Wang, Haoxu and Jiang, Kai and Zhu, Jun and Chen, Jianfei}, journal={arXiv preprint arXiv:2505.11594}, year={2025} } ```