<ul data-eligibleForWebStory="false"><li>Codeformer is a face restoration algorithm developed by researchers at Nanyang Technological University to improve old photos and fix issues in AI-generated faces.</li><li>The model uses a unique Codebook Lookup Transformer architecture, outperforming previous methods like GFPGAN, and can handle various face degradation types, producing natural-looking results.</li><li>Codeformer takes an image as input and outputs a restored, high-quality version of the face, supporting optional features like upscaling, face upsampling, background enhancement, and fidelity control.</li><li>The model's capabilities include robustly restoring faces in images and enhancing face quality, making it useful for improving image quality and addressing face-related issues.</li></ul>

A beginner's guide to the Codeformer model by Lucataco on Replicate

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