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Waifu2x-Extension-GUI
What it is
Waifu2x-Extension-GUI is a portable Windows desktop application for enlarging images, animated media, and videos with AI super-resolution. It supports images, animated GIF, APNG, WebP, and video, with a maximum scale of 4x and batch processing for multiple files. Built-in super-resolution engines include Waifu2x, SRMD, RealSR, Real-ESRGAN, Real-CUGAN, Anime4K, ACNet, and RTX Super Resolution. Video frame interpolation options include RIFE, CAIN, DAIN, and IFRNet. The software supports AMD, Nvidia, and Intel GPUs, including multi-GPU processing for its built-in engines. Users can unzip the package and start it, apply settings presets, adjust multithread options, and customize workflows. The project lists English, Simplified Chinese, Traditional Chinese, Japanese, and Spanish. Personal use is free; commercial use requires Patreon Premium, starting at $4.99 a month.
For and against
For
- Supports images, GIF, APNG, WebP, and video
- Offers 4x maximum AI scaling
- Includes batch processing
- Supports AMD, Nvidia, and Intel GPUs
- Portable package with settings presets
Against
- Windows-only platform
- 4x maximum scale
- Free use is personal only
- Commercial plan starts at $4.99 a month
The verdict
Waifu2x-Extension-GUI combines several enlargement and frame-interpolation engines in a portable Windows package. Its format support, GPU options, and free personal plan make it suitable for individual workflows, while commercial use requires a paid Patreon version.
Who it suits
It suits Windows users who need AI enlargement for supported media formats, batch processing, or video frame interpolation. Commercial users need the Patreon Premium version.
Plans and prices
Personal use
Free for personal use only
Read 9 Oct 2026 · github.com
Premium version
Commercial use; Patreon membership options
Read 9 Oct 2026 · patreon.com
On the record
- Algorithms
- Built-in super-resolution algorithms include Waifu2x, SRMD, RealSR, Real-ESRGAN, Real-CUGAN, Anime4K, ACNet, and RTX Super Resolution.github.com · read 9 Oct 2026
- Batch processing
- Yesgithub.com · read 20 Sep 2026
- Commercial use
- The license says the software is free for personal use only and directs commercial users to purchase the Patreon Premium version.github.com · read 9 Oct 2026
- Customization
- The software offers flexible multithread settings and customizable settings for automating workflows.github.com · read 9 Oct 2026
- Desktop app
- Yesgithub.com · read 20 Sep 2026
- Download platform
- The latest stable build is described as a portable package for Windows x64 PCs with Intel, AMD, or Nvidia GPUs.github.com · read 9 Oct 2026
- Frame interpolation
- Built-in video frame interpolation algorithms include RIFE, CAIN, DAIN, and IFRNet.github.com · read 9 Oct 2026
- GPU support
- The README says the software supports AMD, Nvidia, and Intel GPUs and multi-GPU processing for all built-in engines.github.com · read 9 Oct 2026
- Input formats
- GIF, APNG, WebPgithub.com · read 20 Sep 2026
- Languages
- The listed supported languages are English, Simplified Chinese, Traditional Chinese, Japanese, and Spanish.github.com · read 9 Oct 2026
- Latest release
- The opened latest release is v3.142.01, released October 2, 2026.github.com · read 9 Oct 2026
- Maker
- The project identifies Aaron Feng as its creator and says it is an independently developed project.github.com · read 9 Oct 2026
- Maximum scale
- 4xgithub.com · read 20 Sep 2026
- Media formats
- The software supports processing images, animated GIF, APNG, WebP, and video.github.com · read 9 Oct 2026
- Privacy
- The project says the software does not upload data or collect user data and has no server; it connects to the internet to check for updates and update the donation QR code.github.com · read 9 Oct 2026
- Purpose
- The software enlarges images, GIFs, and videos using super-resolution and can interpolate video frames.github.com · read 9 Oct 2026
- Release security details
- The latest release page provides SHA256 checksums and links to security scan results.github.com · read 9 Oct 2026
- Upscaling method
- aigithub.com · read 20 Sep 2026
