Скачать или смотреть AMD ROCm in linux with Automatic1111 running stable diffusion! Simple guide to getting started!

This is the one. The simplest way to get ROCm running Automatic1111 Stable diffusion with all features on AMD gpu's!

Inside terminal:

sudo apt update
sudo apt install git python3-pip python3-venv python3-dev libstdc++-12-dev

sudo apt update
wget https://repo.radeon.com/amdgpu-instal...
sudo apt install ./amdgpu-install_5.7.50701-1_all.deb

sudo amdgpu-install --usecase=graphics,rocm

sudo usermod -aG video $USER
sudo usermod -aG render $USER

sudo reboot

After you have rebooted, inside terminal again

make a directory for stable diffusion
mkdir sd

If you get a permission denied then use
sudo mkdir sd

Skip this step if you did not have to use sudo
change owner to be yourself
sudo chown -R $USER:$USER sd/

change into new directory
cd sd

clone automatic1111
git clone https://github.com/AUTOMATIC1111/stab...
cd stable-diffusion-webui

setup python venv
python3 -m venv venv
source venv/bin/activate

install packages
pip3 install -r requirements.txt

uninstall cuda torch
pip3 uninstall torch torchvision

install torch ROCm
pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/rocm5.6

create launch script:
sudo nano launch.sh

inside the launch file paste the contents of this url:
https://github.com/jhodak/linux-confi...

to launch SD
bash launch.sh

 
optional parameters for your launch script:
--no-half --precision full --upcast-sampling --no-half-vae --medvram

If you don't need these extra parameters I would recommend not to turn them on. You may only need one or two of these parameters.

If you do not have an 11.0.0 graphics card, you may need to try:
HSA_OVERRIDE_GFX_VERSION=10.3.0

If you have an AMD integrated GPU, and you are having troubles, you may need to change:
HIP_VISIBLE_DEVICES=1

If you are having some memory troubles try changing garbage collection threshold in launch script to 0.9