Linux 优先的 AI 图像提升器 Upscayl 发布了第一个版本
图像提升

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> 你不是每天都能遇到一个采用 “Linux 优先” 方式的应用程序。
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![Linux-First AI Image Upscaler Upscayl Released its First Version](/data/attachment/album/202208/28/180226jam8sfflyysfqzmq.png)


你是不是有一张世纪初的像素化、低分辨率的图片？由于人工智能的进步，你可以轻松地将像素化的图像提升为分辨率更好的图像。


使用普通的图像编辑器需要人工的努力来提升图像。


有大量的在线人工智能图像提升器，但是你不能信任它们对你的数据的处理。


一个新的项目试图解决这个问题，为你提供一个简单的桌面应用程序，让你在一次点击中增强低分辨率照片。


它的第一个版本已经发布。


### Upscayl 的功能


[Upscayl](https://github.com/TGS963/upscayl) 是一个跨平台的应用程序，以 Linux 优先的理念构建。


这仅仅意味着 Linux 的构建得到优先考虑，但其他平台也会得到支持。


Upscayl 使用 Python 和 JavaScript 开发，给出了一个简单的界面，你可以选择输入图片和输出文件夹，然后点击 “Upscayl” 按钮来增强图片。


### 使用 Upscayl


我的电脑上没有太多模糊的照片。并不是说我是一个优秀的摄影师，只是懒得在成千上万的照片中寻找它们。


不过，我还是设法弄到了一张 2011 年的模糊的老照片（那是 11 年前的照片，现在可以说是老照片了）。


![厨房的模糊老照片](/data/attachment/album/202208/28/180227owm665vhv54qzv5q.jpg)


不要因为我随手拍了一张厨房柜台的照片而对我做出评价。一定有一个很好的理由（或者我觉得）。


无论如何。我试着用 Upscayl 对图片进行放大。


![使用 Upscayl](/data/attachment/album/202208/28/180228dszomezhesbqrv2e.png)


这需要相当大的处理能力，但我的 8 核、第 11 代 i7 处理器和 16GB 内存可以轻松应对。


![Upscayl 工作时 CPU 的使用情况](/data/attachment/album/202208/28/180229hq01bq0ntxtut10w.png)


单张图片的处理花了大约 4 分钟，435KB 的图片最终变成了 24MB 的图片。说实话，我几乎没有注意到明显的差异。


![由 Upscayl 放大的图像](/data/attachment/album/202208/28/180230xn9qe9fqyyomewf6.png)


我想把最后的结果嵌入这里的文章中。但是上传一张 24MB 的图片对我的服务器和你的浏览器来说都有点过分。


### 安装 Upscayl


不过，我这个不怎么成功的实验不应该阻止你自己去尝试它。


目前，该应用程序可用于 Linux。对 Windows 和 macOS 的支持正在计划中。


你可以得到 Upscayl 的 AppImage 和 Flatpak 软件包。我使用的是 AppImage 版本，你可以使用你喜欢的任何一种。


这些文件可以在发布页面上找到。



> 
> **[下载 Upscayl](https://github.com/TGS963/upscayl/releases)**
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> 


如果你喜欢这个项目，别忘了在 GitHub 上给它加星。



> 
> **[GitHub - TGS963/upscayl](https://github.com/TGS963/upscayl)**
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> 
> 




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via: <https://news.itsfoss.com/upscayl-version-1-release/>


作者：[Abhishek](https://news.itsfoss.com/author/abhishek/) 选题：[lkxed](https://github.com/lkxed) 译者：[wxy](https://github.com/wxy) 校对：[wxy](https://github.com/wxy)


本文由 [LCTT](https://github.com/LCTT/TranslateProject) 原创编译，[Linux中国](https://linux.cn/) 荣誉推出


OK
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Got a pixelated, low-resolution image from the 2000s? Thanks to the advancement of artificial intelligence, you can easily enhance pixelated, low-res images into better resolution images.

Using a regular image editor requires manual efforts for upscaling the images.

There are tons of online AI image upscalers available, but they can't be trusted with your data.

A new project tries to solve this by providing you with a simple desktop application that lets you enhance low resolution photos in a new click.

It's first version is released today.

## Upscayl Features

[Upscayl](https://github.com/TGS963/upscayl?ref=news.itsfoss.com) is a cross-platform application built with the Linux-first philosophy.

This simply means that Linux builds get priority but other platforms will also be supported.

Developed using Python and JavaScript, Upscayl gives a simple interface where you select the input image and output folder and hit the Upscayl button to enhance the image.

Here's a video of Upscayl in action.

## Using Upscayl

I don't have lots of low-resolution images on my computer. Not that I have always had a DSLR for high-res photos.

So, for my testing, I used a digital image of [Openbox logo from this website](https://www.computerhope.com/jargon/o/openbox.htm?ref=news.itsfoss.com). The image is of size 300x251 pixels and about 7 KB in size.

![A low resolution image of Openbox logo](https://news.itsfoss.com/content/images/2022/08/openbox.jpg)

I tried to upscale the image with Upscayl. It took some time, around a minute, I think.

![Converting images with Upscayl](https://news.itsfoss.com/content/images/2022/08/converting-image-with-upscayl.png)

The process resulted in a 1200x1004 pixels image of 170 kB in size. And you can see that the image is sharp and of high resolution.

![The resultant high-res image of Openbox logo](https://news.itsfoss.com/content/images/2022/08/openbox_upscayled_4x.jpg)

It took quite some processing power, but my 8-core, 11th Gen i7 processor with 16 GB RAM easily handled it.

![CPU usage while Upscayl works on upscaling the image](https://news.itsfoss.com/content/images/2022/08/Upscayl-CPU-usage.png)

Do note that Upscayl works on enhancing low-resolution images, but **it cannot automatically fix the blurred images**. That's not a Upscayl feature.

Earlier, I had written my attempt with a blurred picture, and though the 435 KB image resulted in a 24 MB image, there was hardly any visible differences.

![Old blurry photo of a kitchen](https://news.itsfoss.com/content/images/2022/08/old-blurry-photo.jpg)

Don't judge me because I took a random photo of my kitchen counter. There must have been a good reason (or so I want to believe).

## Getting Upscayl

Still, my not-so-successful experiment should not deter you from trying it out yourself.

The application is available for Linux at the moment. Support for Windows and macOS is planned.

You can get Upscayl in AppImage and Flatpak formats. I used the AppImage version, you can use whichever you prefer.

The files are available on the release page.

And if you liked the project, don't forget to star it on GitHub 👇

[GitHub - TGS963/upscayl: 🆙 Upscayl - Free and Open Source AI Image Upscaler for Linux, MacOS and Windows🆙 Upscayl - Free and Open Source AI Image Upscaler for Linux, MacOS and Windows - GitHub - TGS963/upscayl: 🆙 Upscayl - Free and Open Source AI Image Upscaler for Linux, MacOS and Windows](https://github.com/TGS963/upscayl?ref=news.itsfoss.com)![](https://opengraph.githubassets.com/96fc7c7c2d522b1ba3759df6d5aad16b5f735aa38aed90ac312ba3f413c18639/TGS963/upscayl)


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