Enhance and restore old photos and AI-generated faces
Restore images with NAFNet
Repair images by removing objects
Transform images to look younger or older
Clean and restore images using a web server
Apply a vintage filter to an image
Blind Image Restoration with Instant Generative Reference
Repair images by inpainting missing parts
Restore blurred or small images with prompt
Enhance and restore old photos
This model removes and replaces background on the image.
Transform and restore images with various effects
Erase scratches from old photos
GFPGAN is a cutting-edge AI-based tool designed specifically for restoring and enhancing old photos as well as improving AI-generated faces. It leverages advanced deep learning techniques to bring new life to degraded or low-quality images, making them sharper, clearer, and more visually appealing.
• Enhance Old Photos: Revitalize faded, blurry, or damaged photos to their former glory. • Restore AI-Generated Faces: Improve the quality and realism of faces generated by AI models. • Noise Reduction: Effectively remove noise and artifacts from images. • Sharpness and Clarity: Automatically adjust and enhance image sharpness for crisper results. • Color Correction: Balance and improve color tones to make images look more natural. • User-Friendly: Designed for both novice users and professionals.
1. What file formats does GFPGAN support?
GFPGAN supports common image formats like JPEG, PNG, and BMP. Ensure your input image is in one of these formats for optimal processing.
2. How do I get the best results when using GFPGAN?
For best results, use high-quality input images and experiment with different models or parameters offered by GFPGAN to suit your needs.
3. Can GFPGAN fix heavily damaged photos?
Yes, GFPGAN is capable of restoring heavily damaged photos, but outcomes may vary depending on the extent of the damage. For severely degraded images, results may be more approximate.