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. observed · 2026-08-28
Health v2 · maintenance only
36/100
- Activity 21
- Release rhythm 35
- Longevity 70
Flags: no_releases no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 986
- days_rel: n/a
- days_push: 478
- n_releases_24m: 0
Adoption not part of the score
5649 stars · 476 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
SUPIR is a Python-based photo-realistic image restoration system built on SDXL diffusion priors and LLaVA captioning, presented at CVPR 2024. It upscales and restores low-quality photos (portraits, landscapes, vintage images) using text-driven diffusion-based restoration models.
Use cases
- upscale and restore low-quality photos with AI
- enhance old or vintage photographs
- restore blurry portrait and face images
- super-resolution for landscape and gaming screenshots
- run diffusion-based image restoration locally with PyTorch
When to choose
- you need state-of-the-art photo-realistic super-resolution and restoration
- you have a GPU and want to run restoration locally with pretrained checkpoints
- you want text-prompt-guided control over image restoration results
When to avoid
- you need a lightweight CPU-only upscaler
- you want a simple one-click tool without downloading multi-gigabyte checkpoints
- your project requires a permissive open-source license (license is non-standard)
Facets
library · maturity active
image-processing machine-learning deep-learning image-processing computer-vision deep-learning artificial-intelligence python cross-platform super-resolution image-restoration diffusion-models stable-diffusion-xl llava pytorch photo-enhancement upscaling gpu linux
2 sources
- readme: https://github.com/Fanghua-Yu/SUPIR · fetched 2026-08-28 · 2967c5e248ff
- homepage: http://supir.xpixel.group/ · fetched 2026-08-29 · 1081549c5b3b
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| Fanghua-Yu/SUPIR | main | 36 |
For agents
markdown · JSON · MCP: product_card(name="Fanghua-Yu/SUPIR")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem