seait VS SHARK

install the recommended python and git from windows store and try from here to install automatic1111 from here https://github.com/diStyApps/seait its a gui and very simple just one click do install it will create a new separate venv just make sure your python is version is updated

Initial release will be public. and for easier installation it also be available trough https://github.com/diStyApps/seait

use https://github.com/diStyApps/seait/releases/download/0.1.4/seait_installers_version_0.1.4.zip

If you are on windows, you could just do a second install with SEAiT.

Try this...https://github.com/diStyApps/seait

seait is a life saver now

maybe try seait? https://github.com/diStyApps/seait is like for people who don't really know deep about installing stable diffusion, here is the video about it https://www.youtube.com/watch?v=_PJe_gSZn7I

https://github.com/AUTOMATIC1111/stable-diffusion-webui, https://github.com/nod-ai/SHARK, those are the repos for the open source tools mentioned. u/CeFurkan has really nice tutorial videos on YouTube for stable diffusion. Automatic1111 is the most popular open source stable diffusion ui and has the biggest open source plug-in ecosystem currently. Nvidia’s compute driver is separate from normal driver and called cuda. Amd’s compute driver is called rocm. Most windows programs like games use apis like directx, Vulkan,metal, web gpu and not cuda. Most ml code was originally intended to run in on scientific computing systems that were Linux. Today the traditional windows gpu apis are tying to get better at gpu ml supports. Amd has no official windows ml code support and is Hoping that other developers figure it out for them but amd made their ml driver open source but no support for consumer graphics cards. Nvidia is proprietary ml driver but guaranteed support across all cards including consumer

I got it working using SHARK with an AMD RX 480 on Windows 10.

Here the link for shark, faster (uses vulkan) than automatic1111 with directml but has less functions https://github.com/nod-ai/SHARK

I would recommend trying out Nod AI's Shark (That is the link for the most recent 786.exe release), and see how it works for you. From others I've read, it does 512x512 pics at around 3 it/s, which I know isn't mind blowing, but it's good enough to do a pic in about 30 seconds.

Problem solve, i had it to work i simply put this nod's ai shark exe in my stabble diffusion folder and launch it instead of Webui-user -> Release nod.ai SHARK 20230623.786 · nod-ai/SHARK (github.com)

How does it compare with Shark SD (I am not affiliated with it in any way)? (https://github.com/nod-ai/SHARK)

you should if you want to run SD on your card https://github.com/nod-ai/SHARK

Forgive me for not reading you whole comment. I suspect you're version of the SD eb UI doesn't recognize the AMD GPU., so you're using the CPU. AMD GPUs only work with a few web UIs. Try Nod.ai's Shark variant