S
SUPIR
Fanghua-Yu/SUPIR
SUPIR aims at developing Practical Algorithms for Photo-Realistic Image Restoration In the Wild. Our new online demo is also released at suppixel.ai.
★5.6kstars
Python
NOASSERTION
Updated: Today
📋 Project at a Glance
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What's this?A open-source Models project, built with Python, focusing on deep-learning and diffusion-models
Who made it?Maintained by Fanghua-Yu team, 5.6K⭐ on GitHub, #265 out of 3201 in Models
Why does it exist?The Fanghua-Yu team recognized that existing deep-learning tools in Models were hard to use. SUPIR was designed to make diffusion-models more accessible.
What can it do?Key use cases: llava, pytorch, pytorch-lightning
How to install with AI?Use an AI coding assistant (Claude Code, Cursor, Copilot) to automatically set up pip dependencies and virtual env. Follow the README — the AI handles the rest.
🔗 github.com/Fanghua-Yu/SUPIR | 官网 http://supir.xpixel.group/
🔗 github.com/Fanghua-Yu/SUPIR | 官网 http://supir.xpixel.group/
Topics
deep-learningdiffusion-modelsllavapytorchpytorch-lightningrestorationsdxlstable-diffusionsuper-resolution