stable-diffusion VS stable-diffusion-webui

What are the differences between the stable diffusion projects by Stability-AI and RunwayML? In addition, a similar project Diffusers by HuggingFace also exists, is that different as well?

Ok. I refreshed my memory (here). RunwayML did the training. Stability AI donated the compute. At least. 1 member of the german research team has gone to work for RML and basically continued his work there. I'm not clear at all on the relationship between SAI and RML.

Pretty sure. There's an in painting model that is available! I heard it's pretty good! https://github.com/runwayml/stable-diffusion

so use it with the fork it was designed to work on: https://github.com/runwayml/stable-diffusion

source: https://github.com/runwayml/stable-diffusion/blob/main/Stable_Diffusion_v1_Model_Card.md

If this gets taken down because of the cucks at Stability, you can also download the model weights at https://github.com/runwayml/stable-diffusion

* 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