rocm-arch VS stable-diffusion-webui

I never could get rocm/hip to work on mint after going round and round several times over months. I finally switched distros and had it running in minutes under an arch based distro using https://github.com/rocm-arch/rocm-arch

I struggled for some time trying to make AMD's Rocm/HIP work in linux so I could use my GPU with blender. Never could get it to work across several distros (mint, ubuntu, fedora). I finally dropped it and just ran GPUless for months. I have since found myself on Manjaro and gave it another try after finding this github. Using this on manjaro I was able to install rocm/hip in NO time and am now using blender with my AMD GPU in linux.

To do this, you need to use the repository: https://github.com/rocm-arch/rocm-arch and checkout to commit 135aa026557d7c11d5f446d6c01521535e9e5747

To make it brief. Trying to install rocm-opencl-runtime and rocm-hip-runtime from rocm-arch on github.

rocm-arch README

Then why doesn't it work unless I have this installed?

Yeah, I had to install rocm using this method https://github.com/rocm-arch/rocm-arch. Afaik, it doesn't replace mesa, but provides OpenCL and HIP.

* 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