FROM ubuntu AS get_miniconda SHELL ["/bin/bash", "-c"] # install wget RUN apt-get update \ && apt-get install -y \ wget \ && apt-get clean \ && rm -rf /var/lib/apt/lists/* # download and install miniconda ARG conda_version=py39_4.12.0-Linux-x86_64 ARG conda_prefix=/opt/conda RUN wget --progress=dot:giga -O /miniconda.sh \ https://repo.anaconda.com/miniconda/Miniconda3-${conda_version}.sh \ && bash /miniconda.sh -b -p ${conda_prefix} \ && rm -f /miniconda.sh FROM ubuntu AS invokeai # use bash SHELL [ "/bin/bash", "-c" ] # clean bashrc RUN echo "" > ~/.bashrc # Install necesarry packages RUN apt-get update \ && apt-get install -y \ --no-install-recommends \ gcc \ git \ libgl1-mesa-glx \ libglib2.0-0 \ pip \ python3 \ python3-dev \ && apt-get clean \ && rm -rf /var/lib/apt/lists/* # clone repository and create symlinks ARG invokeai_git=https://github.com/invoke-ai/InvokeAI.git ARG project_name=invokeai RUN git clone ${invokeai_git} /${project_name} \ && mkdir /${project_name}/models/ldm/stable-diffusion-v1 \ && ln -s /data/models/sd-v1-4.ckpt /${project_name}/models/ldm/stable-diffusion-v1/model.ckpt \ && ln -s /data/outputs/ /${project_name}/outputs # set workdir WORKDIR /${project_name} # install conda env and preload models ARG conda_prefix=/opt/conda ARG conda_env_file=environment.yml COPY --from=get_miniconda ${conda_prefix} ${conda_prefix} RUN source ${conda_prefix}/etc/profile.d/conda.sh \ && conda init bash \ && source ~/.bashrc \ && conda env create \ --name ${project_name} \ --file ${conda_env_file} \ && rm -Rf ~/.cache \ && conda clean -afy \ && echo "conda activate ${project_name}" >> ~/.bashrc \ && ln -s /data/models/GFPGANv1.4.pth ./src/gfpgan/experiments/pretrained_models/GFPGANv1.4.pth \ && conda activate ${project_name} \ && python scripts/preload_models.py # Copy entrypoint and set env ENV CONDA_PREFIX=${conda_prefix} ENV PROJECT_NAME=${project_name} COPY docker-build/entrypoint.sh / ENTRYPOINT [ "/entrypoint.sh" ]