rocm-build VS stable-diffusion-webui

Scripts to help with building rocm and hip. It will also help work out dependencies. You will need to modify the scripts for them to work and not all are required. https://github.com/xuhuisheng/rocm-build

Short answer no. Long answer "in theory" yes. I tried this [1] but gave up as building rocm + deps takes up to 6h :/ Official statement [2]

[1] https://github.com/xuhuisheng/rocm-build

I am in the same boat with a gfx03 card. What patch did you use? The ones here? https://github.com/xuhuisheng/rocm-build

I also tried to compile pytorch with its Vulkan backend, but ended throwing the towel as LDFLAGS are a mess to get right (I successfully compiled it, but that was only part of the build chain, and decided I had better things to spend time on). I wonder how that would perform; ncnn works pretty decently.

Unofficial black magic is available: https://github.com/xuhuisheng/rocm-build/tree/master/navi10 (pytorch 1.12.0 is outdated but can run SD)

also have an RX570, currently running latest Tensorflow and ROCm 4.1. had to recompile some parts of ROCm 4.1 libraries to get tensorflow to work. mostly followed this guide: https://github.com/xuhuisheng/rocm-build/tree/master/gfx803

I am using this one : https://github.com/hlky/stable-diffusion-webui

Not sure about the script but you can try using this web-ui's img2img tab.

https://github.com/hlky/stable-diffusion-webui now redirects to /sd-webui/stable-diffusion-webui, as though they're the "true" sd-webui.

As an update, in case anyone else has the issue, after getting some help (thanks u/vedroboev) I installed from here not sure what the difference is, but I got it working.

I would pick a version on the github from 8/31 in the stable diffusion repo and then follow step 2a in this guide https://rentry.org/GUItard to transfer the files from this https://github.com/hlky/stable-diffusion-webui/tree/96aba4b36d59803f3817ee60e96a097f54962ae4

This is a bug with the newest UI version. See this.