![]() ![]() While my upscaled selfie has some un-natural skin smoothness to it, it doesn’t look “bad” to my eyes. ![]() On my AMD Ryzen 5 laptop with integrated Radeon Vega graphics it took ~20 seconds to process a 500px square low-res image into a 2000px square upscaled image.Īnd here are the results from the first low-res selfie I could find: low res sneddon circa 2013 upscaled sneddon circa 2013Īlright, so it’s not the ideal fodder to show off the capabilities of this algorithm, but I was interested in seeing a ‘real world’ use case and, more importantly, how well the GTK/libadwaita front-end coped during processing. Upscaling takes a little bit of time, something those on systems with weaker graphics drivers should expect. Upscaler’s UI is simple and straightforward: open an image, tell the app whether it’s dealing with a photo or an cartoon/anime image, select an filename and location for output, and hit ‘enhance ‘Upscale’ to get started! Just install the app, open it, and you’re good to go. Unlike some AI tools of a similar nature you don’t need to get elbow deep in code or configuring a server to use it. That said, keep in mind that results will vary based on the quality and the content of the base image. The result is greatly enhanced quality of output images. I’m have to confess that I’m super clued up as to how neural networking stuff works, but from what I can gather: Real-ESRGAN is able to ‘predict’ what the missing image pixels should look like, and adds them by upscaling. It’s this algorithm, an extension of upstream Real-ESRGAN, that does the ‘magic’ stuff.īut the results it proceeds speak for themselves: How does it do this? Well, technically, it doesn’t Upscaler is actually a GTK4/libadwaita front-end for the Real-ESRGAN ncnn Vulkan AI algorithm. Upscaler is an open source image upscaling app that leverages AI to automatically enhance any low-resolution image (or not-so-low-resolution image) fed to it. Well, a new app recently added to Flathub can help. While it works okay, the end result is never as pin-sharp perfect as per the marketing (much less the sci-fi movie ‘auto-enhance’ effect we all dream of). See, I very occasionally use the ML Super Resolution feature in the Pixelmator Photo app on my iPad. Looking for a free, open source app that leverages the power of artificial intelligence to upscale image quality on your grainy 0.3MP netbook selfies and 128px anime avatars?Ĭhances are you aren’t, but I’m here to tell you about one anyway! ![]()
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