If you want to do more, there's chaiNNer and CupScale. You need to download an AI model to use those. There are a lot of anime/cartoon models out, so pick one that you like from here. (Note: Upscaly doesn't support these custom models.). Source: 11 months ago
I'm not 100% sure how it holds up against topaz, but I've used cupscale (a gui for ESRGAN) to upscale most of my stuff. Its free (https://github.com/n00mkrad/cupscale) and you can find a million different ESRGAN models which are focused on different kinds of images (https://upscale.wiki/wiki/Model_Database). Source: 12 months ago
Now upscaling isn't hard to do by itself, but the setup can be difficult. As I said earlier, ERSGAN is the preferable way to do it. (https://github.com/n00mkrad/cupscale) Cupscale is my preferred tool for doing it this way. (https://www.topazlabs.com/gigapixel-ai) Gigapixel is another option that's easier for newcomers, but may not produce as good of results. They even have a free trial if you want to demo the tool. Source: about 1 year ago
I use cupscale for upscaling things. Allows chaining models and handles video. Source: about 1 year ago
Made those with cupscale using a mix of anime-tuned models. Average speed for each rendering passage on my 1080ti is about 1 minute of footage per hour. Pretty slow as you can see, which is why will upgrade to rtx4080 soon. Source: about 1 year ago
There is also cupscale which is pretty good, it's the one I've been using, uses the same ai technology (esrgan - enhanced supper resolution generative adversarial network). Source: about 1 year ago
Upscale the image and it will be fine probably, all the noise and compression will be gone too. There's lots of free tools such as this one. Source: about 1 year ago
I used NMKD's donationware software cupscale with the ESRGAN model to do this. Source: about 1 year ago
Maybe look into Cupscale. But even then it might take a while to upscale 10 minutes of video. Source: over 1 year ago
I use a program called CUPscale for this. And it works great. Please try these suggestions, I think you will be pleased to see how you can take advantage of many AI driven tools to achieve something close to what you desire to spite being limited by your hardware. I too am limited with 6GBvram and have to utilize many work arounds to get to where I need things to be. (https://github.com/n00mkrad/cupscale). Source: over 1 year ago
Additional Info: I use NMKD GUI 1.5 and also NMKD Cupscale for upscaling. Source: over 1 year ago
Made with NMKD Stable Diffusion GUI 1.5 and upscaled with NMKD Cupscale. Source: over 1 year ago
I also upscaled the end result with Cupscale. Source: over 1 year ago
Made with stock SD, ran it through Upscayl or cupscale at 4x resolution. Source: over 1 year ago
I recommend checking out cupscale if you haven't. Does a convincing job upresing. https://github.com/n00mkrad/cupscale. Source: over 1 year ago
Things have moved on a considerable amount since waifu2x Try https://github.com/n00mkrad/cupscale. - Source: Hacker News / almost 2 years ago
Does somebody know a project like this one which is optimized/utilizes the M1 (especially the neural engine) which can be easily used to play around with some own .mp4 files? Source: almost 2 years ago
The texture files from the original mod were 1K in BC1 compression. I have cleaned all files of compression artifacts caused by these older compression formats, and then upscaled them all by 4x, to a maximum resolution of 4K with BC7 compression and generated full mipmaps. I cleaned and upscaled them using Cupscale/ESRGAN and then finalized with NVIDIA Texture Tools and Octagon. Source: almost 2 years ago
I'm not entirely sure it's relevant, but cupscale seems to automatically split and rejoin to work around vram constraints. Source: almost 2 years ago
Here's a betterer idea. Use a neural network like ESRGAN to upscale any image. Cupscale if you don't like the terminal. Source: almost 2 years ago
I use this IA for upscaling the pixeles from the back ground image https://github.com/n00mkrad/cupscale from 972x958 to 1920x1080. Source: almost 2 years ago
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