Instructions to use zw121/SMFSR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use zw121/SMFSR with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("zw121/SMFSR", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
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license: apache-2.0
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<div align="center">
<h2>Noise-Started One-Step Real-World Super-Resolution via LR-Conditioned SplitMeanFlow and GAN Refinement</h2>
<p>
Wei Zhu<sup>1</sup>
Kai Zhang<sup>2,*</sup>
Yu Zheng<sup>1</sup>
Lei Luo<sup>1</sup>
Yong Guo<sup>3</sup>
Jian Yang<sup>1,2,*</sup>
</p>
<p>
<sup>1</sup>Nanjing University of Science and Technology
<sup>2</sup>Nanjing University
<sup>3</sup>Huawei
</p>
</div>
<p align="center">
<br>
<a href="https://arxiv.org/abs/2605.09328">
<img src="https://img.shields.io/badge/arXiv-2605.09328-b31b1b.svg">
</a>
<a href="https://github.com/wzhu121/SMFSR">
<img src="https://img.shields.io/badge/GitHub-Code-black.svg">
</a>
</p> |