stable-diffusion-webui VS txt2imghd

* 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

I mean this tool: https://github.com/jquesnelle/txt2imghd

The dictionary definition of upscale is to increase the size or improve the quality of. or convert (an image or video) so that it displays correctly in a higher resolution format. It's just scaling in one direction, the opposite of downscaling. Even the original author of high res fix uses word upscaling because the original library uses Real-ESRGAN to upscale transient images. A1111 repo provides an option to use an upscaling model or just bilinear interpolation for this step.

(4) What the SD upscaler does is chop the image into tiles, re-run SD on the tiles, and then stitch them back together. img2imgHD, and this custom script are other options that do a similar thing. You can also do it manually and combine the tiles in photoshop/gimp/krita, but it's a lot more work.

Im not using Collab. Running these on NVIDIA RTX A6000. I use SD then upscale with https://github.com/jquesnelle/txt2imghd

https://github.com/jquesnelle/txt2imghd The link was literally in the Auto's code's comments.