All my self trained & released AI upscaling models. After gathering and applying over 600 different upscaling models, I learned how to train my own models, and these are the results.

Upscale manga with AI models

My custom (ethical) set of AI models to upscale textures and generate PBR maps

My VitePress website I made to visually compare the output I created with over 600 different AI upscaling models. Running under https://phhofm.github.io/upscale/

How to start training AI models (restoration, upscaling)

JavaScript image upscaling using super resolution AI models

The Stability API wrapper for Delphi utilizes advanced models developed by Stability.ai to provide capabilities for seamless image, video, and 3D generation, as well as sophisticated editing and upscaling tools, tailored for creative and professional use.

My self-trained AI models for photorealistic image upscaling and restoration. Built on ESRGAN, SwinIR, RealPLKSR and other architectures and trained on a manually curated high-end dataset (11,500+ real-world HD images). Models excel at restoring authentic textures and objects (skin, fabric, grit) and handle various types of degradation.

Upscaler demo app showing the different available upscaling models served by fal.ai

A collection of upscaling models I've trained.

Pixteroid is a Node.js API designed for efficient image upscaling and restoration, powered by AI and utilizing the NCNN framework. It employs Real-ESRGAN and ESRGAN model weights to upscale and restore images, providing three distinct levels of detail and size customization to suit various needs.

Enhance AI is a desktop application for photographers that sharpens, denoises, and upscales photographs using community-contributed image enhancement models.

flutter_super_resolution is a Flutter package that uses ONNX models to perform super-resolution on images. It allows developers to enhance image quality with AI-powered upscaling directly within their Flutter applications.

An unofficial custom node implementation for ComfyUI that integrates with venice.ai's Generative AI services such as Image, Text and TTS Generation models (as well as Upscale and Enhance)

Use AI to enhance and upscale your low-quality images: A Google Colab notebook to inference Real-ESRGAN model

PixelPolish is a full-stack, AI-powered web app that enhances low-quality or noisy images using advanced deep learning models. It offers fast, intuitive image upscaling and denoising through a modern interface, bringing professional-grade enhancement tools directly to your browser.

Benchmarking Pixel based AI Upscaling Models for Video Upscaling

🌃 Comparing AI super-resolution models with visual examples and runtime analysis for image upscaling and restoration.

A simple, user-friendly graphical interface for Real-ESRGAN on macOS. This GUI provides an easy way to upscale images using Real-ESRGAN's powerful AI models without touching the command line.

A browser-based super-resolution inference tool that enhances image quality using AI models. This project allows users to upscale images directly in the web browser without needing to rely on server-side processing.

This script batch colorizes and upscales historic images with AI models using the paid replicate.com API.

A React web app with AI-powered features like background removal, face retouching, color correction, style transfer, and image upscaling. Backend uses Flask/FastAPI with AI models for smart photo editing.

👗 Outfit Swapper AI – Upload your photo + outfit photo to swap clothes instantly. Powered by Google Banana Image Model 🤖, it generates 5 stylish variations with download ⬇️ & upscale 🔍 options. Sleek modern UI 🌈, 3D animations 🎥 & opening logo 🎬. By Pankaj Bagariya 👨‍💻

AI Image Upscaling following ESRGAN model

A PyQt6 GUI application for upscaling images using Real-ESRGAN AI models.

Simple video editor with ability to upscale video with AI scaling models

A User-friendly Gui Tool uses Real-ESRGAN AI Model as backend for high-quality image and video upscaling locally with AI-driven denoising.

🚀 Batch upscale images using fal.ai's Topaz, SeedVR & Recraft AI models. Interactive CLI with 2x/4x scaling, cost estimation, parallel processing, and smart skip for already-upscaled images.

This is an ai model which is only for upscale and enhance texture images.

An enterprise-grade video processing application combining multiple AI technologies for video summarization, transcription, translation, and upscaling. Now with multi-model/API support and significantly improved code quality!