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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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|2024.11| 🔥🔥[**LazyDiT**] LazyDiT: Lazy Learning for the Acceleration of Diffusion Transformers(@Adobe Research)|[[pdf]](https://arxiv.org/pdf/2412.12444)| ⚠️|⭐️⭐️ |
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|2024.11| 🔥🔥[**Ca2-VDM**] Ca2-VDM: Efficient Autoregressive Video Diffusion Model with Causal Generation and Cache Sharing(@ZJU)|[[pdf]](https://arxiv.org/pdf/2411.16375)|[[CausalCache-VDM]](https://github.com/Dawn-LX/CausalCache-VDM/)|⭐️⭐️ |
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|2024.11| 🔥🔥[**SmoothCache**] SmoothCache: A Universal Inference Acceleration Technique for Diffusion Transformers(@Roblox) |[[pdf]](https://arxiv.org/pdf/2411.10510)|[[SmoothCache]](https://github.com/Roblox/SmoothCache)|⭐️⭐️ |
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## 📙Awesome Diffusion Distributed Inference with Multi-GPUs
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