upscayl VS stable-diffusion-webui

Yes, with Upscayl, we’re already doing that (https://upscayl.org).

It’s not as fast yet but it’s extremely good. Good enough that you could print a low resolution image after upscaling.

Windows has caused us a lot of issues with Upscayl (https://upscayl.org).

I personally do not use Windows but most of our errors are reported by Windows users where sometimes path parsing is a problem or the drivers mess up vulkan configuration.

> I guess yesterday's science fiction is now our reality.

That's actually what's written on https://upscayl.org, "From Science Fiction to Reality" haha

that website? No, I just used upscayl with the Digital Art preset

Upscayl, I've used it before, it's great

You can use Upscayl on pc and SuperImage on android to enhance your image so you don't have to find the hd version, both the applications uses you device's gpu to enhance your image.

might as well just run upscayl locally then. https://github.com/upscayl/upscayl

Instead of finding images that are already FullHD, I've found an open source software for image upscaling which seems to work very well with digital art/styles similar to something like Studio Ghibli, which is the style as was going for, so works great for me!

Considering a 4080RTX for AI tools performance in the future, noticed a big performance gap in upscayl, while using a rtx card vs non rtx https://github.com/upscayl/upscayl

* LLaVA model: I'll add more documentation. You are right Llava could not generate images. For image generation I don't have immediate plans, but checkout these projects for local image generation.

- https://diffusionbee.com/

- https://github.com/comfyanonymous/ComfyUI

- https://github.com/AUTOMATIC1111/stable-diffusion-webui

I would love to be able to have a native stable diffusion experience, my rx 580 takes 30s to generate a single image. But it does work after following https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki...

I got this up and running on my windows machine in short order and I don't even know what stable diffusion is.

But again, it would be nice to have first class support to locally participate in the fun.

In Auto1111, that just uses Image.blend. :)

https://github.com/AUTOMATIC1111/stable-diffusion-webui/blob...

I used SDXL in automatic1111 webui for both images. Now that I think about it, the procedure I described was how I made this one, but the one that looks like an illustration was done in two steps. I used the canny ControlNet as I said for the outer part of the logo to preserve the shape of the fonts, but I had to turn it off for the boot to give SDXL leeway to add detail and make it look more like a boot.

That said, please do learn coding and don't get discouraged when somebody says to learn PyTorch or recommends using a Jupiter notebook with no further information on how to translate the skill into images. I would highly recommend some short term goals. Get your feet wet by taking apart the UIs. The comfy API documentation is here and the A1111 API documentation is here. There is a difference in completeness, welcome to programming. Writing nodes or plugins is also a good way to jump into this world. Custom wildcard logic might be very attractive to you if you aren't the type that want to deal with a nested file structure to simulate logic.

Possibly Unprompted? https://github.com/AUTOMATIC1111/stable-diffusion-webui/discussions/8094

version: v1.6.1  •  python: 3.10.13  •  torch: 2.0.1+cu118  •  xformers: 0.0.20  •  gradio: 3.41.2  •  checkpoint: 6e8d4871f8