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1. thu-ml/TurboDiffusion thu-ml/TurboDiffusion Public

   TurboDiffusion: 100–200× Acceleration for Video Diffusion Models

   Python 3.9k 278

2. thu-ml/SageAttention thu-ml/SageAttention Public

   [ICLR2025, ICML2025, NeurIPS2025 Spotlight] Quantized Attention achieves speedup of 2-5x compared to FlashAttention, without losing end-to-end metrics across language, image, and video models.

   Cuda 4k 542

3. shengshu-ai/Vidu-S shengshu-ai/Vidu-S Public

   Vidu S: Real-Time Interactive, Editable, and Spatial Video Generation

   518 14

4. thu-ml/SpargeAttn thu-ml/SpargeAttn Public

   [ICML2025] SpargeAttention: A training-free sparse attention that accelerates any model inference.

   Cuda 1.3k 108

5. attention-survey/Efficient_Attention_Survey attention-survey/Efficient_Attention_Survey Public

   A Survey of Efficient Attention Methods: Hardware-efficient, Sparse, Compact, and Linear Attention

   314 5

6. thu-ml/SLA thu-ml/SLA Public

   SLA: Beyond Sparsity in Diffusion Transformers via Fine-Tunable Sparse–Linear Attention

   Python 552 23