Gfpgan
App in the BluixApps catalog
What it is
GFPGAN is Tencent ARC's practical face restoration algorithm — restores old, blurry, or low-resolution face photos using generative adversarial network priors. Trained on millions of high-quality face images, GFPGAN handles faces from baby to elderly with consistent quality.
The industry standard for AI face recovery — the "before/after" you've seen in viral Reddit posts comes from GFPGAN.
What it's for
- Old photo restoration — family albums, historical archives
- Blurry photo enhancement — social media, scanned docs
- Low-resolution profile pictures — to high-res
- Document face cleanup — passport photos, ID cards
- AI-generated image fix — repair SD/Flux face artifacts
Who it's for
- Photographers restoring old client photos
- Family archivists digitizing/enhancing old albums
- Document workflow teams cleaning passport/ID scans
- AI art creators post-processing SD face artifacts
- Marketing teams enhancing low-res legacy images
Why teams pick GFPGAN over alternatives
- Apache 2.0 — fully open
- Best face-specific restoration in the open-source space
- Robust to severe degradation (blur, noise, JPEG artifacts)
- Multiple version variants for different aesthetics
- Integrates with Real-ESRGAN for full-image restoration
- Used in A1111 / ComfyUI natively
- Tencent ARC backing
Integrations
- Gradio web UI (BluixApps custom)
- CLI mode for batch processing
- A1111 Extras — built-in
- ComfyUI nodes — restoration node pack
- Pair with: Real-ESRGAN (Real-ESRGAN for background + GFPGAN for faces = best total restoration)
- Pair with: SD/Flux generation (ADetailer-like post-process)
Notable users & community
- 37k+ GitHub stars
- Tencent ARC research backing
- Standard in commercial photo-AI products
- Featured in viral restoration before/after posts
- Multiple language tutorials + courses available
Tips & operations
- Versions:
- v1.3: gentler, preserves original character
- v1.4: aggressive modern look (recommended for most uses)
- v1.2 / v1.0: legacy
- Upscale factor: 1-4× (combined with face restore)
- VRAM: 4 GB minimum
- Speed: 1-3 sec per photo on RTX 4090
- Best inputs: degraded photos (blur, low-res, JPEG artifacts) — that's what GFPGAN learned to fix
- Combine with Real-ESRGAN:
--bg_upsampler realesrganfor full image enhancement - Batch CLI: process whole folders for archive work
What we ship in BluixApps
- Cloned
TencentARC/GFPGANrepo - pytorch CUDA 12.4 base
- Custom Gradio UI with version + scale selectors
- Persistent volumes: repo, weights (~700 MB), input, output
- Port 7876 mapped
- Install report at
/root/bluixapps/gfpgan.txt - Version selection guide
- CLI batch examples
- Use case examples (photo archive, document scanning, AI art fix)
- Pairing suggestions (Real-ESRGAN combo for best results)
- GPU pre-flight check via
bluixapps_ensure_nvidia_runtime - Backup hook covers weights + outputs
Get this app — pick a BluixApps plan
Same catalog. Scaling tenant isolation, white-label and support tier.
| Tier | Tenants | Catalog | Support | White-label | Monthly | |
|---|---|---|---|---|---|---|
| Stacks | 1 | 19 curated stacks | Standard | — | $19/mo | DetailDeploy |
| Starter | 10 | Full catalog | Standard | +$15–25/mo | $49/mo | DetailDeploy |
| Pro | 25 | Full catalog | Priority bugfix | +$15–25/mo | $149/mo | DetailDeploy |
| Growth | 100 | Full catalog | Priority bugfix | +$15–25/mo | $349/mo | DetailDeploy |
| Scale | 500 | Full catalog | 7-day window | +$15–25/mo | $799/mo | DetailDeploy |
| Enterprise | Unlimited | Full catalog | Priority 7-day | Bundled | $1,499/mo | DetailDeploy |