|
1 | | -# 📒Awesome-SD-Inference |
| 1 | +# 📒Awesome-Diffusion-Inference |
2 | 2 | <div align='left'> |
3 | 3 | <img src=https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg > |
4 | 4 | <img src=https://img.shields.io/github/forks/DefTruth/Awesome-SD-Inference.svg?style=social > |
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8 | 8 | <img src=https://img.shields.io/badge/License-GPLv3.0-turquoise.svg > |
9 | 9 | </div> |
10 | 10 |
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11 | | -📒A **small** curated list of Awesome **SD/DiT/Diffusion** Inference with **Distributed/Caching/Sampling**. For Awesome LLM Inference, please check 📖[Awesome-LLM-Inference](https://github.com/DefTruth/Awesome-LLM-Inference)  |
| 11 | +📒A **small** curated list of Awesome **Diffusion** Inference paper with codes. For Awesome LLM Inference, please check 📖[Awesome-LLM-Inference](https://github.com/DefTruth/Awesome-LLM-Inference)  |
12 | 12 |
|
13 | 13 | ## 🤖Contents |
14 | 14 |
|
15 | | -- [📙Awesome SD Inference with Sampling](#Sampling) |
16 | | -- [📙Awesome SD Inference with Caching](#Caching) |
17 | | -- [📙Awesome SD Inference with Multi-GPUs](#Distributed) |
18 | | -- [📙Other Awesome SD Inference Paper with codes](#Others) |
| 15 | +- [📙Awesome Diffusion Inference with Sampling](#Sampling) |
| 16 | +- [📙Awesome Diffusion Inference with Caching](#Caching) |
| 17 | +- [📙Awesome Diffusion Inference with Multi-GPUs](#Distributed) |
| 18 | +- [📙Other Awesome Diffusion Inference Paper with codes](#Others) |
19 | 19 |
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20 | 20 |
|
21 | 21 | ## ©️Citations |
22 | 22 |
|
23 | 23 | ```BibTeX |
24 | | -@misc{Awesome-SD-Inference@2024, |
25 | | - title={Awesome-SD-Inference: A small curated list of Awesome SD/DiT/ViT/Diffusion Inference with Distributed/Caching/Sampling.}, |
26 | | - url={https://github.com/DefTruth/Awesome-SD-Inference}, |
27 | | - note={Open-source software available at https://github.com/DefTruth/Awesome-SD-Inference}, |
| 24 | +@misc{Awesome-Diffusion-Inference@2024, |
| 25 | + title={Awesome-Diffusion-Inference: A small curated list of Awesome Diffusion Inference with Distributed/Caching/Sampling.}, |
| 26 | + url={https://github.com/DefTruth/Awesome-Diffusion-Inference}, |
| 27 | + note={Open-source software available at https://github.com/DefTruth/Awesome-Diffusion-Inference}, |
28 | 28 | author={DefTruth}, |
29 | 29 | year={2024} |
30 | 30 | } |
31 | 31 | ``` |
32 | 32 |
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33 | 33 |
|
34 | | -## 📙Awesome SD Inference with Sampling |
| 34 | +## 📙Awesome Diffusion Inference with Sampling |
35 | 35 |
|
36 | 36 | <div id="Sampling"></div> |
37 | 37 |
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51 | 51 | |2024.08| 🔥[**StepSaver**] StepSaver: Predicting Minimum Denoising Steps for Diffusion Model Image Generation(@intel) | [[pdf]](https://arxiv.org/pdf/2408.02054) |⚠️|⭐️⭐️ | |
52 | 52 | |2024.09| 🔥[**DC-Solver**] DC-Solver: Improving Predictor-Corrector Diffusion Sampler via Dynamic Compensation(@Tsinghua University)| [[pdf]](https://arxiv.org/pdf/2409.03755v1) | [[DC-Solver]](https://github.com/wl-zhao/DC-Solver)  |⭐️⭐️ | |
53 | 53 |
|
54 | | -## 📙Awesome SD Inference with Caching |
| 54 | +## 📙Awesome Diffusion Inference with Caching |
55 | 55 |
|
56 | 56 | <div id="Caching"></div> |
57 | 57 |
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76 | 76 | |2024.04| 🔥🔥[**T-GATE V1**] Cross-Attention Makes Inference Cumbersome in Text-to-Image Diffusion Models(@Wentian Zhang etc)|[[pdf]](https://arxiv.org/pdf/2404.02747v1) | [[T-GATE]](https://github.com/HaozheLiu-ST/T-GATE) |⭐️⭐️ | |
77 | 77 | |2024.04| 🔥🔥[**T-GATE V2**] Faster Diffusion via Temporal Attention Decomposition(@Haozhe Liu etc)|[[pdf]](https://arxiv.org/pdf/2404.02747v2) | [[T-GATE]](https://github.com/HaozheLiu-ST/T-GATE) |⭐️⭐️ | |
78 | 78 |
|
79 | | -## 📙Awesome SD Distributed Inference with Multi-GPUs |
| 79 | +## 📙Awesome Diffusion Distributed Inference with Multi-GPUs |
80 | 80 |
|
81 | 81 | <div id="Distributed"></div> |
82 | 82 |
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98 | 98 | |2024.06| 🔥🔥[**Clip Parallelism**] Video-Infinity: Distributed Long Video Generation(@nus.edu)|[[pdf]](https://arxiv.org/pdf/2406.16260) | [[Video-Infinity]](https://github.com/Yuanshi9815/Video-Infinity) |⭐️⭐️ | |
99 | 99 | |2024.05| 🔥🔥[**FIFO-Diffusion**] FIFO-Diffusion: Generating Infinite Videos from Text without Training(@Seoul National University)|[[pdf]](https://arxiv.org/pdf/2405.11473) | [[FIFO-Diffusion]](https://github.com/jjihwan/FIFO-Diffusion_public)  |⭐️⭐️ | |
100 | 100 |
|
101 | | -## 📙Other Awesome SD Inference Paper with codes |
| 101 | +## 📙Other Awesome Diffusion Inference Paper with codes |
102 | 102 | <div id="Others"></div> |
103 | 103 |
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104 | 104 | |Date|Title|Paper|Code|Recom| |
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