GFPGAN - AI Image Models Tool

Overview

GFPGAN is a practical tool for face restoration, capable of enhancing and restoring old, damaged, or AI-generated faces. The project is available for self-hosting via Docker; consult the Replicate listing for setup and usage instructions.

Key Features

• Face-focused restoration and enhancement
• Restores old, damaged, or low-quality facial images
• Improves fidelity of AI-generated faces
• Available for self-hosting via Docker
• Practical, production-oriented face repair workflow

Ideal Use Cases

• Repairing old or damaged portrait photographs
• Enhancing faces generated by other AI models
• Prepping portraits for printing or archival storage
• Improving low-resolution face crops before editing

Getting Started

• Install Docker on your host machine
• Visit the GFPGAN Replicate listing for project details
• Pull or build the GFPGAN Docker image per documentation
• Run the container and supply input images for restoration
• Retrieve restored faces from the container output

Pricing

Not disclosed on the provided listing; check the Replicate page or project documentation for current pricing and hosting costs.

Limitations

• Designed specifically for faces — not intended for general full-image restoration
• Self-hosting requires Docker and technical setup

Key Information

• Category: Image Models
• Type: AI Image Models Tool