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Final2x

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Final2x's own site

What Final2x is

Final2x is a free, open-source desktop application for AI image super-resolution on Windows, macOS, and Linux. It includes built-in models and lets users load custom models from a Git URL or local path. Listed model support includes RealESRGAN, RealCUGAN, EDSR, SwinIR, SCUNet, and DAT. Users can select output image formats, enable optional tile processing, and choose FP32, FP16, or BF16 precision. Final2x-core supplies a command-line interface and desktop backend. The CLI installs from PyPI with pip install Final2x-core, accepts Base64, JSON, or YAML configuration, and can save logs. Linux installation requires Python 3.10 or newer, PyTorch 2.0 or newer, and system libraries on Debian or Ubuntu. Windows GPU acceleration is limited to Nvidia users, while Intel Mac users can use CPU only. The project uses the BSD 3-Clause license.

Who it suits

Final2x suits people who need desktop or command-line AI image upscaling across Windows, macOS, or Linux, including users who want custom models or configurable output.

What it does well

  • Free and open source
  • Runs on Windows, macOS, and Linux
  • Supports custom models from Git or local paths
  • Offers selectable formats, tiling, and precision
  • Includes desktop app and command-line backend

What to know first

  • Windows GPU acceleration requires Nvidia
  • Intel macOS users are CPU-only
  • Linux setup requires Python and PyTorch versions
  • Windows winget and Scoop packages may lag

Verdict

Final2x combines a cross-platform desktop interface with a configurable CLI and custom-model support. Hardware restrictions and Linux prerequisites matter when planning installation or acceleration.

Facts from Final2x's own pages

Backend
Final2x-core provides the image super-resolution command-line interface and desktop backend. · github.com, 12 Oct 2026
CLI configuration
The CLI accepts configuration as Base64, JSON, or YAML, and can save logs. · github.com, 12 Oct 2026
CLI installation
The CLI can be installed from PyPI with pip install Final2x-core. · github.com, 12 Oct 2026
Custom models
The v4.0.0 release says custom models can be loaded from a Git URL or a local path. · github.com, 12 Oct 2026
Desktop app
Yes · github.com, 22 Sept 2026
Downloads
The README directs users to download the latest release for their platform. · github.com, 12 Oct 2026
GPU limitations
The v2.0.0 release notes say Windows GPU acceleration is for Nvidia users, while Intel macOS users can use only the CPU. · github.com, 12 Oct 2026
GPU support
The v2.0.0 release notes say Windows GPU acceleration is available only to Nvidia users and macOS Intel users can use CPU only. · github.com, 12 Oct 2026
License
The project is licensed under the BSD 3-Clause license. · github.com, 12 Oct 2026
Linux requirements
The Linux installation instructions require Python 3.10 or newer and PyTorch 2.0 or newer, plus system libraries on Debian or Ubuntu. · github.com, 12 Oct 2026
macOS launch
The README says users may need to run xattr -cr /Applications/Final2x.app if macOS blocks the app on first launch. · github.com, 12 Oct 2026
Models
The app supports built-in models and lets users load custom models from a Git URL or local path. · github.com, 12 Oct 2026
Model support
The v2.0.0 release lists RealESRGAN, RealCUGAN, EDSR, SwinIR, SCUNet, and DAT among its supported models. · github.com, 12 Oct 2026
Output options
The v3.0.0 release added optional tile processing and user-selectable output image formats. · github.com, 12 Oct 2026
Output settings
A release added a user-selectable output image format and an optional tile-inference switch. · github.com, 12 Oct 2026
Precision
Version 4.1.0 added FP32, FP16, and BF16 precision selection. · github.com, 12 Oct 2026
Purpose
Final2x is a cross-platform image super-resolution tool for Windows, macOS, and Linux. · github.com, 12 Oct 2026
Release verification
The v4.0.0 release page says its commit was created with GitHub’s verified signature. · github.com, 12 Oct 2026
Support
The README invites users to contact the project maintainers with questions or concerns. · github.com, 12 Oct 2026
Upscaling method
ai · github.com, 22 Sept 2026
Windows installation
The README says Windows users can install from the release page or use winget or Scoop, whose packages may lag behind the latest release. · github.com, 12 Oct 2026

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