Cross-platform image super-resolution tool using PyTorch and Electron.
Scale graphics and artworks locally across Windows, macOS, and Linux.
Final2x is an Electron and PyTorch-based super-resolution application designed for graphic designers and creative artists. It provides built-in models and custom model support to upscale images directly on your local hardware.
The application processes image scaling using computer-vision models powered by PyTorch and a desktop backend. You can utilize the default built-in restoration models or load custom models via the cccv backend.
It suits designers and artists who need local upscaling capabilities across different operating systems without relying on cloud services. It does not suit users looking for an online web service or those unfamiliar with basic command-line tools for Linux dependencies.
Runs natively on Windows, macOS, and Linux desktops.
Supports loading your own restoration and super-resolution models.
Uses PyTorch and the cccv engine for low-level vision processing.
Installable via winget or Scoop on Windows, or pip for the Linux core.
Free under the BSD-3-Clause licence. There are no paid hosted options mentioned in the repository, so the only cost is running it on your own hardware.
767 open remote AI-training roles, updated November 14, 2026; most pay $20–$175 an hour. Zekai lists them free; the application goes to the employer’s platform.
These reviewed AI tools do the same job instantly — from our scored directory.
Yes, Final2x supports loading custom models using the cccv backend.
You need Python >= 3.10, PyTorch >= 2.0, libomp5, and xdg-utils.
See Zekai first in Google