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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README.md
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license: apache-2.0
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license: apache-2.0
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<div align="center">
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<h2>Noise-Started One-Step Real-World Super-Resolution via LR-Conditioned SplitMeanFlow and GAN Refinement</h2>
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<p>
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Wei Zhu<sup>1</sup>
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Kai Zhang<sup>2,*</sup>
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Yu Zheng<sup>1</sup>
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Lei Luo<sup>1</sup>
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Yong Guo<sup>3</sup>
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Jian Yang<sup>1,2,*</sup>
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</p>
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<p>
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<sup>1</sup>Nanjing University of Science and Technology
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<sup>2</sup>Nanjing University
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<sup>3</sup>Huawei
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</p>
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</div>
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<p align="center">
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<br>
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<a href="https://arxiv.org/abs/2605.09328">
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<img src="https://img.shields.io/badge/arXiv-2605.09328-b31b1b.svg">
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</a>
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</p>
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