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12 | 12 |
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13 | 13 | ## 🤖Contents |
14 | 14 |
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| 15 | +- [📙Awesome SD Inference with Sampling](#Sampling) |
15 | 16 | - [📙Awesome SD Inference with Caching](#Caching) |
16 | 17 | - [📙Awesome SD Distributed Inference with Multi-GPUs](#Distributed) |
17 | 18 | - [📙Other Awesome SD Inference Paper with codes](#Others) |
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30 | 31 | ``` |
31 | 32 |
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32 | 33 |
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| 34 | +## 📙Awesome SD Inference with Sampling |
| 35 | + |
| 36 | +<div id="Sampling"></div> |
| 37 | + |
| 38 | +|Date|Title|Paper|Code|Recom| |
| 39 | +|:---:|:---:|:---:|:---:|:---:| |
| 40 | +|2020.06| 🔥[**DDPM**] Denoising Diffusion Probabilistic Models(@UC Berkeley) | [[pdf]](https://arxiv.org/abs/2006.11239) |[[diffusion]](https://github.com/hojonathanho/diffusion)  |⭐️⭐️ | |
| 41 | +|2020.10| 🔥[**DDIM**] DENOISING DIFFUSION IMPLICIT MODELS(@cs.stanford.edu) | [[pdf]](https://arxiv.org/pdf/2010.02502) |⚠️|⭐️⭐️ | |
| 42 | +|2022.02| 🔥[**PNDM**] PSEUDO NUMERICAL METHODS FOR DIFFUSION MODELS ON MANIFOLDS(@) | [[pdf]](https://arxiv.org/pdf/2202.09778) |[[PNDM]](https://github.com/luping-liu/PNDM)  |⭐️⭐️ | |
| 43 | +|2022.02| 🔥[**DPM-Solver**] DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps(@Cheng Lu) | [[pdf]](https://arxiv.org/pdf/2206.00927) |[[dpm-solver]](https://github.com/LuChengTHU/dpm-solver)  |⭐️⭐️ | |
| 44 | +|2022.11| 🔥[**DPM-Solver++**] DPM-SOLVER++: FAST SOLVER FOR GUIDED SAMPLING OF DIFFUSION PROBABILISTIC MODELS(@Cheng Lu) | [[pdf]](https://arxiv.org/pdf/2211.01095) |[[dpm-solver]](https://github.com/LuChengTHU/dpm-solver)  |⭐️⭐️ | |
| 45 | +|2023.10| 🔥[**DPM-Solver-v3**] DPM-Solver-v3: Improved Diffusion ODE Solver with Empirical Model Statistics(@Kaiwen Zheng) | [[pdf]](https://arxiv.org/pdf/2310.13268) |[[DPM-Solver-v3]](https://github.com/thu-ml/DPM-Solver-v3)  |⭐️⭐️ | |
| 46 | +|2023.11| 🔥[**Parallel Sampling**] Parallel Sampling of Diffusion Models(@Stanford University) | [[pdf]](https://papers.nips.cc/paper_files/paper/2023/file/0d1986a61e30e5fa408c81216a616e20-Paper-Conference.pdf) | [[paradigms]](https://github.com/AndyShih12/paradigms)  |⭐️⭐️ | |
| 47 | +|2023.11| 🔥[**SAMPLER SCHEDULER**] SAMPLER SCHEDULER FOR DIFFUSION MODELS(@sysu)| [[pdf]](https://arxiv.org/pdf/2311.06845) |⚠️|⭐️⭐️ | |
| 48 | +|2024.02| 🔥[**Parallel Sampling**] Accelerating Parallel Sampling of Diffusion Models(@Zhiwei Tang) | [[pdf]](https://arxiv.org/pdf/2402.09970) | [[ParaTAA-Diffusion]](https://github.com/TZW1998/ParaTAA-Diffusion)  |⭐️⭐️ | |
| 49 | +|2024.01| 🔥[**YONOS**] You Only Need One Step: Fast Super-Resolution with Stable Diffusion via Scale Distillation(@Samsung AI) | [[pdf]](https://arxiv.org/pdf/2401.17258) |⚠️|⭐️⭐️ | |
| 50 | +|2024.01| 🔥[**S^2-DM**] S^2-DMs: Skip-Step Diffusion Models(@Yixuan Wang) | [[pdf]](https://arxiv.org/pdf/2401.01520) |⚠️|⭐️⭐️ | |
| 51 | +|2024.08| 🔥[**StepSaver**] StepSaver: Predicting Minimum Denoising Steps for Diffusion Model Image Generation(@intel) | [[pdf]](https://arxiv.org/pdf/2408.02054) |⚠️|⭐️⭐️ | |
| 52 | + |
33 | 53 | ## 📙Awesome SD Inference with Caching |
34 | 54 |
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35 | 55 | <div id="Caching"></div> |
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