Neural restoration
GFPGAN rebuilds face detail with AI prior knowledge.
3-step process
Como funciona GFPGAN
From a degraded, blurry input to a crystal-clear, high-fidelity portrait — every stage is transparent, measurable, and takes less than one second.
- Upload
Detect and align faces
The pipeline detects landmarks and normalizes pose so restoration starts from stable geometry.
- Process
Apply generative facial prior
GFPGAN rebuilds detail while preserving expression, identity, and structure.
- Download
Blend and upscale output
The restored face is blended back into the frame and prepared for final delivery.
GFPGAN benefits
Built for Restoration
Restaura rostros antiguos, borrosos o danados con GFPGAN en segundos.
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
Preguntas frecuentes sobre GFPGAN
Everything you need to know about GFP-GAN — from model selection to integrating with production pipelines.
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01 What is GFPGAN?
GFPGAN is an AI face restoration model that rebuilds realistic detail in degraded portraits.
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02 What photos can it restore?
It works best on portraits, old family photos, compressed images, blurry selfies, and frames with visible faces.
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03 Are my images uploaded?
No. The browser tool processes images locally on your device.