Search Results for "gfpgan"

RestorePhotos.io is an AI web app for restoring old, blurry, or low-quality face photos and bringing them back to life. It wraps the GFPGAN model (served via Replicate) behind a friendly Next.js front end, so non-technical users can upload an image and receive an enhanced version without ever touching ML code. The workflow is straightforward: you upload a photo, the serverless API route sends it to Replicate, and the restored image is returned and displayed in the UI.

AUTOMATIC1111's stable-diffusion-webui is a powerful, user-friendly web interface built on the Gradio library that allows users to easily interact with Stable Diffusion models for AI-powered image generation. Supporting both text-to-image (txt2img) and image-to-image (img2img) generation, this open-source UI offers a rich feature set including inpainting, outpainting, attention control, and multiple advanced upscaling options. With a flexible installation process across Windows, Linux, and...

...It analyzes each face's pose and brightness, then picks the minimum blur or mosaic strength that still prevents re-identification, even against AI restoration tools like Real-ESRGAN and GFPGAN. Built with Python, PyQt5 and OpenCV, COVA runs fully on your local machine, making it ideal for CCTV, medical recordings, research datasets and broadcast content. Features include live Original/Anonymized preview, support for images and video, adjustable risk levels and attack models, and timeline graphs showing angle, brightness and anonymization strength.

v6.0. Warlock-Studio is a Windows application that uses Real-ESRGAN, BSRGAN, IRCNN, GFPGAN, RealESRNet, RealESRAnime and RIFE Artificial Intelligence models to upscale, restore faces, interpolate frames and reduce noise in images and videos. the application supports GPU acceleration (including multi-GPU setups) and offers batch processing for large workloads. It includes drag-and-drop handling for single or multiple files, optional pre-resize functions, and an automatic tiling system designed to overcome GPU VRAM limitations.

GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration. Colab Demo for GFPGAN; (Another Colab Demo for the original paper model) Online demo: Huggingface (return only the cropped face) Online demo: Replicate.ai (may need to sign in, return the whole image). Online demo: Baseten.co (backed by GPU, returns the whole image).