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[手动选题][news]: 20220824 Linux-First AI Image Upscaler Upscayl Released its First Version.md
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[#]: subject: "Linux-First AI Image Upscaler Upscayl Released its First Version"
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[#]: via: "https://news.itsfoss.com/upscayl-version-1-release/"
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[#]: author: "Abhishek https://news.itsfoss.com/author/abhishek/"
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[#]: collector: "lkxed"
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[#]: translator: " "
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[#]: reviewer: " "
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[#]: publisher: " "
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[#]: url: " "
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Linux-First AI Image Upscaler Upscayl Released its First Version
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======
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Not every day you come across an application with 'Linux-first' approach.
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![Linux-First AI Image Upscaler Upscayl Released its First Version][1]
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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 images into better resolution images.
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Using a regular image editor requires manual efforts for upscaling the images.
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There are tons of online AI image upscalers available, but they can't be trusted with your data.
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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.
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It's first version is released today.
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### Upscayl Features
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[Upscayl][2] is a cross-platform application built with the Linux-first philosophy.
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This simply means that Linux builds get priority but other platforms will also be supported.
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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.
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Here's a video of Upscayl in action.
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![][3]
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0:00
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### Using Upscayl
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I don't have lots of blurry pictures on my computer. Not that I am an excellent photographer, just too lazy to look for them among thousands of pictures.
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Still, I managed to get a blurry, old photo from 2011 (it was 11 years ago and can be considered old now).
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![Old blurry photo of a kitchen][4]
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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).
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Anyway. I tried to upscale the image with Upscayl.
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![Using Upscayl][5]
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It took quite some processing power, but my 8-core, 11th Gen i7 processor with 16 GB RAM easily handled it.
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![CPU usage while Upscayl works on upscaling the image][6]
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The single image processing took around 4 minutes and the 435 KB image resulted in a 24 MB image. Quite honestly, I hardly noticed visible differences.
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![Upscaled image by Upscayl][7]
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I wanted to embed the final result in the article here. But uploading a 24 MB image would be overkill for my server and your browser.
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### Getting Upscayl
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Still, my not-so-successful experiment should not deter you from trying it out yourself.
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The application is available for Linux at the moment. Support for Windows and macOS is planned.
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You can get Upscayl in AppImage and Flatpak formats. I used the AppImage version, you can use whichever you prefer.
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The files are available on the release page.
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[Download Upscayl][8]
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And if you liked the project, don't forget to star it on GitHub 👇
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[GitHub - TGS963/upscayl: 🆙 Upscayl - Free and Open Source AI Image Upscaler for Linux, MacOS and Windows][9]
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--------------------------------------------------------------------------------
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via: https://news.itsfoss.com/upscayl-version-1-release/
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作者:[Abhishek][a]
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选题:[lkxed][b]
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译者:[译者ID](https://github.com/译者ID)
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校对:[校对者ID](https://github.com/校对者ID)
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本文由 [LCTT](https://github.com/LCTT/TranslateProject) 原创编译,[Linux中国](https://linux.cn/) 荣誉推出
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[a]: https://news.itsfoss.com/author/abhishek/
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[b]: https://github.com/lkxed
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[1]: https://news.itsfoss.com/content/images/size/w1200/2022/08/upscayl-image-upscaler.png
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[2]: https://github.com/TGS963/upscayl
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[3]: https://news.itsfoss.com/content/media/2022/08/upscayl-in-action.mp4
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[4]: https://news.itsfoss.com/content/images/2022/08/old-blurry-photo.jpg
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[5]: https://news.itsfoss.com/content/images/2022/08/Using-Upscayl-for-image-processing.png
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[6]: https://news.itsfoss.com/content/images/2022/08/Upscayl-CPU-usage.png
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[7]: https://news.itsfoss.com/content/images/2022/08/Upscayl-final-result.png
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[8]: https://github.com/TGS963/upscayl/releases
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[9]: https://github.com/TGS963/upscayl
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