Neural restoration
GFPGAN rebuilds face detail with AI prior knowledge.
3-step process
GFPGAN kaise kaam karta hai
From a degraded, blurry input to a crystal-clear, high-fidelity portrait — every stage is transparent, measurable, and takes less than one second.
- Upload
Face detect aur align karein
Pipeline landmarks detect karke pose ko stable banati hai.
- Process
Generative facial prior lagayein
GFPGAN identity bachate hue lost detail rebuild karta hai.
- Download
Blend aur upscale karein
Restored face image me blend hota hai aur final output ready hota hai.
GFPGAN benefits
Built for Restoration
GFPGAN se purani, dhundhli ya kharab face photos ko seconds me restore karein.
Private processing
Images stay in your browser during processing.
Model variants
Choose models for speed and quality needs.
High quality output
Create clear output for portraits and old photos.
Identity retention
Improve detail while keeping identity natural.
Fast workflow
Restore photos quickly in your browser.
Open-source MIT licensed Fast preview Private workflow No account required
Results users trust
Creators use GFP-GAN to restore old and blurry portraits faster.
"The restoration result is clear and natural."
"The workflow is fast and easy to use."
"Faces look more natural after restoration."
"Old archive photos became useful again."
"Local browser processing gives confidence."
"The old portrait became clear again."
4.9
Average rating from verified restoration users
Model Quality Matrix
GFP-GAN Model and Runtime Matrix
| Variant | Target Resolution | Identity Fidelity | Runtime |
|---|---|---|---|
| gfpgan 1.2 | 512px | High | Fast |
| gfpgan 1.3 | 512px | High+ | Fast |
| gfpgan 1.4 | 1024px | Very High | Balanced |
| gfpgan 1.5 | 1024px | Ultra | Balanced |
Speed Profile
Processing Speed
Higher = faster (relative scale)
- gfpgan 1.2 Fast · 512px
- gfpgan 1.3 Fast · 512px
- gfpgan 1.4 Balanced · 1024px
- gfpgan 1.5 Balanced · 1024px
Identity Fidelity
gfpgan 1.2 High
gfpgan 1.3 High+
gfpgan 1.4 Very High
gfpgan 1.5 Ultra
GFP-GAN Pipeline Explorer
Step through each stage of the restoration pipeline. Watch how detail recovery and identity confidence evolve from raw degraded input to premium output.
Pipeline Stages
Input & Face Detection
Locate facial regions, align landmarks, and normalise crop geometry to 512×512.
- Detail Recovery 62%
- Identity Retention 88%
- Processing Speed 95%
Before / After Lens
Degraded Restored
FAQ
GFPGAN ke bare me aam sawal
Everything you need to know about GFP-GAN — from model selection to integrating with production pipelines.
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01 GFPGAN kya hai?
GFPGAN ek AI face restoration model hai jo degraded portraits me realistic detail rebuild karta hai.
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02 Kaunsi photos restore hoti hain?
Portraits, purani photos, compressed images aur blurry selfies par best kaam karta hai.
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03 Kya photo upload hoti hai?
Nahi. Processing browser me local hoti hai.