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# Awesome SD Inerence
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- TODO
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# 📒 Awesome-SD-Distributed-Inference <img src=https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg >
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Awesome-SD-Distributed-Inference: A small curated list of Awesome SD/DiT/ViT/Diffusion Distributed Inference Paper with codes.
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## ©️Citations
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```BibTeX
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@misc{Awesome-SD-Distributed-Inference@2024,
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title={Awesome-SD-Distributed-Inference: A small curated list of Awesome SD/DiT/ViT/Diffusion Distributed Inference Paper with codes},
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url={https://github.com/DefTruth/Awesome-SD-Distributed-Inference},
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note={Open-source software available at https://github.com/DefTruth/Awesome-SD-Distributed-Inference},
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author={DefTruth},
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year={2024}
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}
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```
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## 📙Awesome SD Distributed Inference Papers with Codes
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|Date|Title|Paper|Code|Recom|
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|:---:|:---:|:---:|:---:|:---:|
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|2023.12|🔥🔥[DeepCache] DeepCache: Accelerating Diffusion Models for Free(@nus.edu)|[[pdf]](https://arxiv.org/pdf/2312.00858) | [[DeepCache]](https://github.com/horseee/DeepCache) ![](https://img.shields.io/github/stars/horseee/DeepCache.svg?style=social)| ⭐️⭐️ |
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|2024.02|🔥🔥[DistriFusion] DistriFusion: Distributed Parallel Inference for High-Resolution Diffusion Models(@MIT etc)|[[pdf]](https://arxiv.org/abs/2402.19481) | [[distrifuser]](https://github.com/mit-han-lab/distrifuser) ![](https://img.shields.io/github/stars/mit-han-lab/distrifuser.svg?style=social)| ⭐️⭐️ |
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|2024.05|🔥🔥[PipeFusion] PipeFusion: Displaced Patch Pipeline Parallelism for Inference of Diffusion Transformer Models(@Tencent etc)|[[pdf]](https://arxiv.org/pdf/2405.14430) | [[PipeFusion]](https://github.com/PipeFusion/PipeFusion) ![](https://img.shields.io/github/stars/PipeFusion/PipeFusion.svg?style=social)| ⭐️⭐️ |
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|2024.06| 🔥🔥[AsyncDiff] AsyncDiff: Parallelizing Diffusion Models by Asynchronous Denoising(@nus.edu) | [[pdf]](https://arxiv.org/pdf/2406.06911) | [[AsyncDiff]](https://github.com/czg1225/AsyncDiff) ![](https://img.shields.io/github/stars/czg1225/AsyncDiff.svg?style=social)| ⭐️⭐️ |
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|2024.06| 🔥🔥[Layer Caching] Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching(@nus.edu) | [[pdf]](https://arxiv.org/pdf/2406.01733) | [[learning-to-cache]](https://github.com/horseee/learning-to-cache/) ![](https://img.shields.io/github/stars/horseee/learning-to-cache.svg?style=social)| ⭐️⭐️ |
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|2024.05 | 🔥🔥[TensorRT-LLM SDXL] SDXL Distributed Inference in TensorRT-LLM with synchronous comm(@Zars19) | [[pdf]](https://arxiv.org/abs/2402.19481) | [[SDXL-TensorRT-LLM]](https://github.com/NVIDIA/TensorRT-LLM/pull/1514) ![](https://img.shields.io/github/stars/NVIDIA/TensorRT-LLM.svg?style=social)| ⭐️⭐️ |
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## ©️License
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GNU General Public License v3.0
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## 🎉Contribute
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Welcome to star & submit a PR to this repo!
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<div align='center'>
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<a href="https://star-history.com/#DefTruth/Awesome-SD-Distributed-Inference&Date">
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<picture align='center'>
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<source media="(prefers-color-scheme: dark)" srcset="https://api.star-history.com/svg?repos=DefTruth/Awesome-SD-Distributed-Inference&type=Date&theme=dark" />
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<source media="(prefers-color-scheme: light)" srcset="https://api.star-history.com/svg?repos=DefTruth/Awesome-SD-Distributed-Inference&type=Date" />
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<img width="350" height="250" alt="Star History Chart" src="https://api.star-history.com/svg?repos=DefTruth/Awesome-SD-Distributed-Inference&type=Date" />
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</picture>
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</a>
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</div>

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