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-rw-r--r--README.md11
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@@ -9,12 +9,13 @@ This repo provides a stable-diffusion-webui compatible with gfx803 GPU architect
## Quick install for this version
1. Clone this repository: `git clone https://kug.is/cgit/stable-diffusion-webui-gfx803.git`.
-2. Build the docker image: `docker build -t stable-diffusion-webui-gfx803 .`.
+2. Create exchange directory for docker: `mkdir $HOME/dockerx`.
+3. Build the docker image: `docker build -t stable-diffusion-webui-gfx803 .`.
This step might take a long time and the CLI becomes inresponsive in between, but do not worry.
-3. Run the container for the first time: `docker run -it --network=host --device=/dev/kfd --device=/dev/dri --group-add=video --ipc=host --cap-add=SYS_PTRACE --security-opt seccomp=unconfined -v $HOME/dockerx:/dockerx stable-diffusion-webui-gfx803:latest`.
-4. Cd into the `stable-diffusion-webui-gfx803` folder, if you are not already in it.
-5. Source the venv: `source venv/bin/activate`.
-6. Launch the main script: `python launch.py --precision full --no-half`.
+4. Run the container for the first time: `docker run -it --network=host --device=/dev/kfd --device=/dev/dri --group-add=video --ipc=host --cap-add=SYS_PTRACE --security-opt seccomp=unconfined -v $HOME/dockerx:/dockerx stable-diffusion-webui-gfx803:latest`.
+5. Cd into the `stable-diffusion-webui-gfx803` folder, if you are not already in it.
+6. Source the venv: `source venv/bin/activate`.
+7. Launch the main script: `python launch.py --precision full --no-half`.
For consecutive runs you do not need to build the image again. Instead, do the following: