GFPGAN Online — Free AI Face Enhancer
Fix blurry, damaged, or low-quality faces in any photo using the GFPGAN AI model by Tencent ARC. No Python setup, no GPU required — runs entirely in your browser. Choose from GFPGAN v1.3, v1.4, or RestoreFormer.
3 free uses per day · No signup required
How GFPGAN Restores Faces
Understanding the AI behind facial enhancement
Generative Facial Prior
GFPGAN uses StyleGAN2 as a facial prior — a learned representation of what high-quality faces look like. This allows it to reconstruct realistic facial detail from heavily degraded input.
Eye & Detail Recovery
Reconstructs sharp eye detail, eyelashes, iris patterns, and eyebrow texture. Also enhances skin pores, hair strands, and lip detail for photorealistic results.
Identity Preservation
Advanced channel attention and spatial feature matching ensure the enhanced face still looks like the same person. The AI enhances without altering identity.
Multiple Versions
Choose between GFPGAN v1.3 (sharper), v1.4 (balanced), or RestoreFormer (alternative architecture). Each version handles different degradation types optimally.
GFPGAN Use Cases
When to use AI face enhancement
Old Family Photos
Restore faces in vintage photographs from the 1950s-2000s. GFPGAN can sharpen facial features that have been degraded by scanning, compression, or physical damage to the original print.
Low-Light Selfies
Fix noisy, blurry faces from photos taken in dim lighting. The AI reconstructs facial detail that noise and blur have obscured, producing a clean, sharp result.
Zoomed-In Group Photos
When you crop into a group photo, faces become small and blurry. GFPGAN combined with upscaling can restore facial detail at any crop level.
ID & Passport Photos
Enhance low-resolution ID photos for reprinting or digital use. GFPGAN sharpens facial features while maintaining the accurate appearance required for identification.
GFPGAN Online — FAQ
Yes. UpscaleFast runs GFPGAN on cloud GPUs. Upload a photo with faces, choose a GFPGAN version, and download the enhanced result. No Python environment, pip packages, or CUDA setup needed.
GFPGAN (Generative Facial Prior GAN) is an AI model by Tencent ARC that restores and enhances faces in photos. It uses a pre-trained face generation model to reconstruct facial detail — sharpening eyes, skin texture, hair, and other features while preserving identity.
GFPGAN v1.4 is recommended for most photos. It offers the best balance of sharpness and identity preservation. v1.3 produces slightly sharper results but may alter facial features more. RestoreFormer is an alternative model for specific damage types.
GFPGAN produces sharper results faster, while CodeFormer preserves identity better on heavily damaged photos. Use GFPGAN for slightly blurry faces and quick fixes. Use CodeFormer for old, heavily damaged photos where preserving the person's appearance is critical.
Yes. UpscaleFast offers 3 free GFPGAN face enhancements per day with no account required. No watermarks on results.