Upscayl v2.15.0 中文绿色版-AI图像放大增强工具-阳子湖软件园

Upscayl 中文版是一款免费开源的 AI 图片放大软件，支持在 MacOS、Linux 和 Windows 操作系统上使用。它可通过命令行操作，并能自动检测计算机中的多个显卡，用户只需设置 GPU ID 即可指定用于图片放大处理的显卡。

软件功能

免费开源：Upscayl 中文版完全免费且开源，任何人都可以自由下载、使用，甚至修改和编译源代码，以满足不同应用场景的需求。
高质量放大：采用深度学习技术识别并重建像素，Upscayl 汉化版能将低分辨率图片放大至高分辨率，同时保持图像清晰度与细节。
快速处理：支持多 GPU 计算，用户可灵活选择使用哪个 GPU 进行图片放大，从而显著提升处理速度。
支持多种文件格式：兼容 JPEG、PNG、BMP、TIFF 等多种常见图片格式，用户可根据需要自由选择输入与输出文件格式。
简单易用：操作极为简便，用户只需通过命令行输入相关参数，即可快速完成图片放大处理。

更新日志

2.15 New Year Update
A new updated interface for the 500th time! 💅🏻
Upscayl now supports multiple languages! SAY WHAT!? 🤯
Introducing an all new model – High Fidelity! 🎉
English, Russian, Japanese, French, Spanish, Portuguese, Vietnamese, Indonesian and Chinese translations have been added 🤗 !
Added an all new Lens Viewer! Programming it almost made me insane (NO CLICKBAIT) 🥰
You can now paste and upscayl clipboard images! 📋 Thanks to @abhishek-gaonkar 🙏
Added a new onboarding dialog that allows you to configure Upscayl before using 👶🏻
Upscayl now shows you stats like total images upscaled, average upscayl time, etc. in the right sidebar 😉
Refactored the whole codebase for the 1324215041th time 😮‍💨
Updated the Right sidebar (More Options) drawer UI because I can 🙃
Added TTA Mode, it’s too complicated, please brave/google/bing it 😀
Added System Info section in Settings Tab and Logs 👌
Updated AI models selection with example images and descriptions for people who love things simple 😎
Added 256+ character length alert for Windows users (please switch to Linux) 😇
Added support for JFIF format, don’t know who needs it but still… 🃏
Added the option to disable auto-updates check. Please stop bothering me about it now 😀👍🏻
Added the option for Mac App Store users to email Upscayl Support directly with logs and all details pre-filled 😉
Added the option to help Upscayl with stats like GPU models, DAU, etc. We don’t collect any personal data 😇
Added a short tutorial video in the onboarding screen 💁🏻‍♂️
Added language switcher in onboarding dialog 🈶
Fixed Error Screen for client side issues 🫥
Did all of this hard work, just for the one reading this ☺️