AMD 7900 XTX Stable Diffusion Web UI docker container (ROCM 5.5_rc4)

README.md

To use this container you would first need to install docker and docker-compose.

After that you would need deleted rocm/composable_kernel:ck_ub20.04_rocm5.5_rc4 docker image (alpha build of ROCM). You can download the image, using bittorect magnet link in the files of the gist. After downloading the image load it with docker load --input rocm5.5.tar.gz

Running is as simple as: sudo docker-compose up --build. After that Stable Diffusion Web UI could be accessed in http://127.0.0.1:3000

Many thanks to @wsippel for putting up step by step guide to get it working.

Disclaimer

This is tested on kernel 6.2.10 and mesa 23.0.0

docker-compose.yml

version: "3.9"
services:
  sd:
    build: .
    ports:
      - "3000:7860"
    volumes:
      - ./models:/SD/stable-diffusion-webui/models/  
      - ./repositories:/SD/stable-diffusion-webui/repositories/ 
      - ./extensions:/SD/stable-diffusion-webui/extensions/
      - ./outputs:/SD/stable-diffusion-webui/outputs/
    devices:
      - '/dev/kfd:/dev/kfd'
      - '/dev/dri:/dev/dri'
    security_opt:
      - seccomp:unconfined
    group_add:
      - video

Dockerfile

FROM rocm/composable_kernel:ck_ub20.04_rocm5.5_rc4

RUN mkdir /SD

# Clone SD
WORKDIR /SD
RUN git clone https://github.com/AUTOMATIC1111/stable-diffusion-webui
WORKDIR /SD/stable-diffusion-webui
RUN git reset --hard 22bcc7be428c94e9408f589966c2040187245d81

RUN apt update && apt install python3.8-venv
RUN python3 -m venv venv

# Activate VENV
ENV VIRTUAL_ENV=/SD/stable-diffusion-webui/venv
RUN python3 -m venv $VIRTUAL_ENV
ENV PATH="$VIRTUAL_ENV/bin:$PATH"

RUN python3 -m pip install --upgrade pip wheel

ENV HIP_VISIBLE_DEVICES=0
ENV PYTORCH_ROCM_ARCH="gfx1100"
ENV CMAKE_PREFIX_PATH=/SD/stable-diffusion-webui/venv/
ENV USE_CUDA=0

# Setup patched folder & compile dependencies 
RUN mkdir -p /SD/stable-diffusion-webui/patched
RUN pip install cmake ninja
WORKDIR patched

# Remove old torch and torchvision
RUN pip uninstall -y torch torchvision

# Build pytorch
RUN wget https://github.com/pytorch/pytorch/releases/download/v2.0.0/pytorch-v2.0.0.tar.gz
RUN tar -xzvf pytorch-v2.0.0.tar.gz
WORKDIR /SD/stable-diffusion-webui/patched/pytorch-v2.0.0
RUN pip install -r requirements.txt
RUN pip install mkl mkl-include
RUN python3 tools/amd_build/build_amd.py
RUN python3 setup.py install

# Build vision
WORKDIR /SD/stable-diffusion-webui/patched/
RUN wget https://github.com/pytorch/vision/archive/refs/tags/v0.15.1.tar.gz
RUN tar -xzvf v0.15.1.tar.gz
WORKDIR /SD/stable-diffusion-webui/patched/vision-0.15.1
RUN python3 setup.py install

WORKDIR /SD/stable-diffusion-webui

# Patch requirements.txt to remove torch
RUN sed '/torch/d' requirements.txt
RUN pip install -r requirements.txt

EXPOSE 7860/tcp

# Fix for "detected dubious ownership in repository" by rom1win.
RUN git config --global --add safe.directory '*'
CMD python3 launch.py --listen --disable-safe-unpickle

Magnet link to composable_kernel:ck_ub20.04_rocm5.5_rc4

magnet:?xt=urn:btih:dc9b3ec573f4deb765952ddfa764b1d9e9512c6f&xt=urn:btmh:12203daea6d9ea069933e19403d4050463b3f014c034237a2934cbd01f8aa8f75b36&dn=rocm5.5.tar.gz&tr=udp%3a%2f%2ftracker.opentrackr.org%3a1337%2fannounce

Change RUN apt update && apt install python3.8-venv to RUN apt update && apt install -y python3.8-venv.

Btw, the tutorial is outdated as of now. If you aren't a big fan of Docker containers, an easy guide can be found here:

• https://are-we-gfx1100-yet.github.io/post/a1111-webui/#the-easy-approach

Which is a compilation of comments above.

thank you

@evshiron thanks! This is working. 👍

Failed on step #21.

I cant get it to build I keep getting a python error

The command '/bin/sh -c apt update && apt install python3.8-venv' returned a non-zero code: 1 ERROR: Service 'sd' failed to build : Build failed

Shame here. Hey author, did you test it at all? @In-line