Last Updated on April 28, 2023
Here’s an image of Upscayl in action. On the left, you select an image, select the type of upscaling, set the output folder. Then click the yellow button to let the software refine the photo.
There’s a slider which lets you conveniently compare the original image with its upscaled counterpart.
The upscaling types are:
- General Photo: Real-ESRGAN
- General Photo: Remacri – a creation of BSRGAN with more details and less smoothing, made by interpolating IRL models such as Siax, Superscale, Superscale Artisoft, Pixel Perfect,
- General Photo: Ultramix Balanced
- General Photo: Ultrasharp
- Digital Art
- Sharpen image
Upscayl doesn’t code the upscaling algorithm itself. It’s a frontend to pretrained models offered by REAL-ERSGAN.
The software also offers a useful batch upscale and double Upscayl, the latter further doubles the upscaling. You can save images in PNG, JPG, and WEBP formats.
Other features include:
- Manual GPU ID control for machines with Multi-GPUs; GPU-ID auto-save.
- Zoom options.
- Lots of themes if the colour scheme of the interface is important to you.
The main benefit conveyed by Upscayl is that the software offers a very simple and intuitive way to access a variety of pretrained models. If you want to upscale poor quality images using deep learning technology without needing to revert to the command-line, this GUI utility is perfect for you. Alternatively, if you’re happy installing software that requires more steps, we strongly recommend Invoke-AI, software that uses Real-ESRGAN to enlarge the image immediately after generation using a web user interface.
We’d love to see more pretrained models available. In particular, it would be awesome if the face recognition GFPGAN was added, together with the ability to chain that model with Real-ESRGAN. And an option to repair images with scratches would tick all the boxes.
As with other deep learning tools, you’ll need a good GPU to process images quickly.
For other useful open source apps that use machine learning/deep learning, we’ve compiled this roundup.