Final2x

EutropicAIBSD-3-Clause活跃维护

跨平台图片超分辨率工具,基于 PyTorch 模型把低清图片放大变清晰,支持多语言,桌面端开箱即用。

a cross-platform image super-resolution tool

v4.1.0发布于 2026-09-30 16:57 UTC7,406star +6 / 7 天527fork同步于 2026-11-10 11:32 UTC

怎么上手

由 README 提炼,执行前请确认
pip install Final2x-core
Final2x-core -h
sudo apt install -y libomp5 xdg-utils
硬件要求按 README 说明

README 未说明显存或 GPU 型号要求;Linux 端需安装 PyTorch >= 2.0,未提及是否可纯 CPU 运行。

下载:源码 zip·GitHub Releases(安装包)本站不镜像安装包

项目说明

由 README 自动翻译提炼

跨平台图像超分辨率工具,内置多种模型也可加载自定义模型放大图片

跨平台图片超分辨率工具,基于 PyTorch 模型把低清图片放大变清晰,支持多语言,桌面端开箱即用。

核心能力

  • 支持 Windows、macOS、Linux 三平台桌面应用
  • 内置超分模型,也可加载自定义模型
  • 提供 Python CLI 与桌面端共用同一后端
  • 基于 cccv 图像修复与超分后端

容易踩的坑

Linux 需先装 Python >= 3.10 和 PyTorch >= 2.0,并额外安装 libomp5、xdg-utils 等系统库;macOS 首次启动可能被拦截,需执行 xattr -cr /Applications/Final2x.app;winget/Scoop 等包管理器版本可能落后于最新 release。

内容由模型根据 README 生成,可能不完整或不准确,以官方文档为准。看原文 README

最近发版

5 个版本v4.1.0
  1. v4.1.0最新正式版2026-09-30 · 2026-09-30 16:57 UTC

    What's New

    • Add FP32 / FP16 / BF16 precision selection.
    • Improve the settings page layout.

    Bug Fix

    • Fix HTTPS model downloads failing with CERTIFICATE_VERIFY_FAILED on clean macOS installations without Homebrew. Model downloads now use macOS system certificate trust. (#615, #716)
    • Fix repeated IPC handler registration.
    • Improve error handling when the backend executable is missing.
    • Update dependencies.

    Maintenance

    • Merge Final2x-core into the main repository and align desktop and core versions.
    • Refactor the build and release workflows.
    • Update documentation.

    What's Changed

    New Contributors

    Full Changelog: https://github.com/EutropicAI/Final2x/compare/v4.0.0...v4.1.0

  2. v4.0.02025-10-05 · 2025-10-05 06:15 UTC
    查看更新说明
    • Final2x-core v4.0.0

    What's New

    You can load a custom model from git url (git cli installed)

    Or load from local path

    Bug Fix

    • Dependency bumps to latest
    • Cleaner exit
    • Refactor some code...
  3. 2025-08-16v3.0.02025-08-16 · 2025-08-16 13:38 UTC
    查看更新说明
    • Final2x-core: v3.2.0

    Final2x v3.0.0 is now available!

    The most important update: we’ve got a new icon — it’s absolutely crucial and instantly boosts AI performance!

    New Features

    • Tile processing: optional switch to enable/disable tile inference
    • Save format: user-selectable output image format

    Breaking Changes

    • Bumped PyTorch to 2.7.1+cu128 for NVIDIA 50-series support; older GPUs (10s) may work not well
    • MacOS x64 is no longer included in official pre-built packages

    Bug Fix

    • Update dependencies
    • Fix some other issues
  4. 2024-12-14v2.1.02024-12-14 · 2024-12-14 21:45 UTC
    查看更新说明
    • Final2x-core: v3.1.0

    New Models

    • HAT: Hybrid Attention Transformer for Image Restoration, thanks to @routineLife1
    • SRCNN: First deep learning method for SR
  5. 2024-11-09v2.0.02024-11-09 · 2024-11-09 14:07 UTC
    查看更新说明

    Final2x v2.0.0 has been released!

    • Final2x-core: v3.0.1
    • ccrestoration: v0.1.2

    We are thrilled to announce the release of Final2x v2.0.0, which brings a significant upgrade to our image restoration capabilities. This release marks a major milestone as we transition to utilizing ccrestoration (PyTorch) for our algorithm implementation, enhancing performance and expanding the range of supported models.

    Breaking Changes

    • Windows User Changes: Only Nvidia users can use GPU acceleration.
    • Linux User Changes: Linux users need to install dependencies using pip, as we will no longer provide pre-built Final2x-core. (Install ROCm PyTorch for AMD GPU)
    • MacOS Intel User Changes: MacOS Intel users can not use GPU acceleration, only CPU.

    Features

    • Expanded Model Support: We are excited to introduce support for a variety of new models, including RealESRGAN, RealCUGAN, EDSR, SwinIR, SCUNet, DAT......
    • Future-Proofing: We will continue to add support for more models in future updates!

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    README 原文

    未翻译

    MacOS Windows Linux CI-test CI-test-core CI-build Release Download GitHub

    A cross-platform image super-resolution tool for Windows, macOS, and Linux.

    Use built-in models or load your own. See the custom model demo to get started.

    🖼️ Screenshots

    📦 Installation

    Download the latest release for your platform.

    🪟 Windows

    Install from the release page, or use a package manager such as winget or Scoop. Package manager versions may lag behind the latest release.

    🍎 macOS

    If macOS blocks the app on first launch, run the following command in Terminal after placing it in /Applications:

    xattr -cr /Applications/Final2x.app
    

    🐧 Linux

    Install Python >= 3.10 and PyTorch >= 2.0, then install the backend and required system libraries. On Debian or Ubuntu:

    pip install Final2x-core
    Final2x-core -h # Verify the backend installation
    sudo apt install -y libomp5 xdg-utils
    

    🧩 References

    The Python CLI and desktop backend live in core and share the desktop app's version number.

    This project builds on the following open-source projects:

    📄 License

    This project is licensed under the BSD 3-Clause - see the LICENSE file for details.

    💙 Acknowledgements

    Feel free to reach out to the project maintainers with any questions or concerns~