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|2024.06| 🔥🔥[**∆-DiT**] ∆-DiT: A Training-Free Acceleration Method Tailored for Diffusion Transformers(@Fudan University)|[[pdf]](https://arxiv.org/pdf/2406.01125)| ⚠️|⭐️⭐️ |
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|2024.09| 🔥🔥[**TokenCache**] Token Caching for Diffusion Transformer Acceleration(@Institute of Automation, Chinese Academy of Sciences)|[[pdf]](https://arxiv.org/pdf/2409.18523)| ⚠️|⭐️⭐️ |
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|2024.11| 🔥🔥[**AdaCache**] Adaptive Caching for Faster Video Generation with Diffusion Transformers(@Meta)|[[pdf]](https://adacache-dit.github.io/clarity/adacache_meta.pdf)|[[AdaCache]](https://github.com/AdaCache-DiT/AdaCache)|⭐️⭐️ |
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|2024.11| 🔥🔥[**TeaCache**] Timestep Embedding Tells: It’s Time to Cache for Video Diffusion Model(@Alibaba)|[[pdf]](https://arxiv.org/pdf/2411.19108)|[[TeaCache]](https://github.com/LiewFeng/TeaCache)|⭐️⭐️ |
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