Instructions to use W-Shuoyan/OSDEnhancer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use W-Shuoyan/OSDEnhancer with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("W-Shuoyan/OSDEnhancer", 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
Upload folder using huggingface_hub
Browse files
README.md
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## ๐News
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**[May 2026]** The inference code and pretrained checkpoints are now available ๐ [](https://github.com/W-Shuoyan/OSDEnhancer) [](https://arxiv.org/abs/2601.20308)
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## ๐News
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**[May 2026]** The inference code and pretrained checkpoints are now available ๐ [](https://github.com/W-Shuoyan/OSDEnhancer) [](https://huggingface.co/W-Shuoyan/OSDEnhancer)
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**[Jan 2026]** The arXiv version of our paper has been released ๐ [](https://arxiv.org/abs/2601.20308)
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