|
1 | | -# Awesome SD Inerence |
2 | | -- TODO |
| 1 | +# 📒 Awesome-SD-Distributed-Inference <img src=https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg > |
| 2 | + |
| 3 | +Awesome-SD-Distributed-Inference: A small curated list of Awesome SD/DiT/ViT/Diffusion Distributed Inference Paper with codes. |
| 4 | + |
| 5 | +## ©️Citations |
| 6 | + |
| 7 | +```BibTeX |
| 8 | +@misc{Awesome-SD-Distributed-Inference@2024, |
| 9 | + title={Awesome-SD-Distributed-Inference: A small curated list of Awesome SD/DiT/ViT/Diffusion Distributed Inference Paper with codes}, |
| 10 | + url={https://github.com/DefTruth/Awesome-SD-Distributed-Inference}, |
| 11 | + note={Open-source software available at https://github.com/DefTruth/Awesome-SD-Distributed-Inference}, |
| 12 | + author={DefTruth}, |
| 13 | + year={2024} |
| 14 | +} |
| 15 | +``` |
| 16 | + |
| 17 | +## 📙Awesome SD Distributed Inference Papers with Codes |
| 18 | + |
| 19 | +|Date|Title|Paper|Code|Recom| |
| 20 | +|:---:|:---:|:---:|:---:|:---:| |
| 21 | +|2023.12|🔥🔥[DeepCache] DeepCache: Accelerating Diffusion Models for Free(@nus.edu)|[[pdf]](https://arxiv.org/pdf/2312.00858) | [[DeepCache]](https://github.com/horseee/DeepCache) | ⭐️⭐️ | |
| 22 | +|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) | ⭐️⭐️ | |
| 23 | +|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) | ⭐️⭐️ | |
| 24 | +|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) | ⭐️⭐️ | |
| 25 | +|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/) | ⭐️⭐️ | |
| 26 | +|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) | ⭐️⭐️ | |
| 27 | + |
| 28 | + |
| 29 | +## ©️License |
| 30 | + |
| 31 | +GNU General Public License v3.0 |
| 32 | + |
| 33 | +## 🎉Contribute |
| 34 | + |
| 35 | +Welcome to star & submit a PR to this repo! |
| 36 | + |
| 37 | +<div align='center'> |
| 38 | +<a href="https://star-history.com/#DefTruth/Awesome-SD-Distributed-Inference&Date"> |
| 39 | + <picture align='center'> |
| 40 | + <source media="(prefers-color-scheme: dark)" srcset="https://api.star-history.com/svg?repos=DefTruth/Awesome-SD-Distributed-Inference&type=Date&theme=dark" /> |
| 41 | + <source media="(prefers-color-scheme: light)" srcset="https://api.star-history.com/svg?repos=DefTruth/Awesome-SD-Distributed-Inference&type=Date" /> |
| 42 | + <img width="350" height="250" alt="Star History Chart" src="https://api.star-history.com/svg?repos=DefTruth/Awesome-SD-Distributed-Inference&type=Date" /> |
| 43 | + </picture> |
| 44 | +</a> |
| 45 | +</div> |
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