QualityScaler: Image/video deeplearning upscaler with any GPU
github.com
github.com
https://upscale.wiki/wiki/Model_Database
My personal favourite is Remacri for photographs, but you should download a few of them and try what works best for the photo/image you have.
You can use either Automatic1111's repo for stable diffusion to try them out (put the model file in the ESRGAN directory), or also chaiNNer (https://github.com/chaiNNer-org/chaiNNer)
https://github.com/upscayl/upscayl
Wonder what the comparison is…
I suspect they are just not really wanting to advertise such a slow user experience, which is reasonable.
Nothing I've tried is. I might try this one out to see, but if anyone who has can comment on how it compares, I'd appreciate it.
My use case is 2x upscaling detailed, very small pixel-art-style images, like icons and retro game assets.
I'm getting poor results trying with some stamps I've scanned and some photos that were lower resolution than I liked.
Or does it need to be studio quality footage?
What I am excited for is a narrowband to wideband algorithm which can turn a Ye Olde Microphone recording or possibly even a telephone conversation into something resembling a modern recording. Obviously there’s only so much you can do with a recording made on a terrible microphone, but it should be possible to make historical recordings clearer.
https://github.com/nagadomi/waifu2x
And other implementations thereof, e.g: