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🔥🔥[Ca2-VDM] Ca2-VDM: Efficient Autoregressive Video Diffusion Model with Causal Generation and Cache Sharing (#16)
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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) ![](https://img.shields.io/github/stars/AdaCache-DiT/AdaCache.svg?style=social)|⭐️⭐️ |
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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) ![](https://img.shields.io/github/stars/LiewFeng/TeaCache.svg?style=social)|⭐️⭐️ |
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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/) ![](https://img.shields.io/github/stars/Dawn-LX/CausalCache-VDM.svg?style=social)|⭐️⭐️ |
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## 📙Awesome Diffusion Distributed Inference with Multi-GPUs
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