Launched January 6, 2026
CodeFormer

CodeFormer

Revive old faces with high‑quality AI magic!

Free309 impressions#714 of its week

CodeFormer is a powerful and easy-to-use AI tool designed to restore faces in old, blurry, or AI-generated images. Developed by researchers at Nanyang Technological University, it uses a smart transformer model and a visual “codebook” to fill in missing facial details while keeping the original vibe. You can adjust a simple slider to choose whether you want sharper quality or closer resemblance to the original image. Features: Transformer-based restoration: Uses smart AI to predict face details based on the full context of the image for better, natural results. Visual codebook knowledge: Refers to a library of real face features to add fine details without guesswork. Adjustable fidelity slider: Lets you decide if you want sharper faces or more accurate likeness by tweaking one slider. Background enhancement: Optional tools can clean up and sharpen the photo’s background for a polished look. Use Cases: Fix old family photos: Restore grandparent pictures from the past and bring their faces back to life. Enhance AI-generated faces: Improve blurry or glitchy faces from AI art tools like Stable Diffusion. Clean tourist snapshots: Sharpen and restore fuzzy travel photos of yourself or friends. Strengthen project visuals: Use in school or history projects to improve image quality and storytelling. With CodeFormer, you get a powerful AI that makes face restoration simple—no technical knowledge needed, just choose an image and let it work its magic.

CodeFormer is an AI tool that restores and enhances faces in old, blurry, or AI-generated images.

for
Photographers, archivists, developers and anyone needing face restoration.
pricing
open source
license
open source
sczhou/CodeFormer 18k 3.7kPythonupdated a year ago
  • v0.1.0CodeFormer V0.1.0 Release4 years ago

Key features

6 features of CodeFormer
  • Learned Codebook — Encodes facial features to restore details accurately.
  • Fidelity Control Slider — Adjusts balance between image quality and identity preservation.
  • Multi-Degradation Handling — Removes low-resolution, noise, compression artifacts and blur.
  • Background Enhancement — Optionally cleans and sharpens the image background.
  • Batch Processing — Processes multiple images efficiently with consistent results.
  • High-Resolution Support — Works with various resolutions while keeping detail.

Use cases

  • Restore old family photos and bring faces back to life.
  • Enhance blurry or glitchy AI-generated faces from tools like Stable Diffusion.
  • Clean up fuzzy travel snapshots for personal sharing.
  • Improve visual quality in school or history projects.

CodeFormer FAQ

What is CodeFormer and how does it work?+

CodeFormer uses a learned codebook to encode facial features and an adjustable fidelity weight to restore degraded faces while preserving identity.

What types of image problems can CodeFormer fix?+

It can address low resolution, noise, compression artifacts, blurriness and general quality loss in facial images.

Will CodeFormer change how people look in my photos?+

It preserves identity; the fidelity weight lets you control how much enhancement is applied versus how much the original look is kept.

Can I use CodeFormer for commercial projects?+

Yes, it can be used for personal and commercial projects under the S-Lab License 1.0.

What image formats are supported?+

Common formats such as JPG, PNG, WEBP and TIFF are supported.

How is CodeFormer different from other face enhancement tools?+

Its learned codebook and adjustable fidelity control provide superior quality and identity preservation compared to traditional methods.

Summarized by DevHunt from codeformerai.com · Oct 8, 2026. Details may change; check the official site.