1423b274b1
sygil:5291437085
Also, switch to pip instead of conda because it is really slow invoke:ed9186b099
61 lines
1.8 KiB
Docker
61 lines
1.8 KiB
Docker
# syntax=docker/dockerfile:1
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FROM python:3.10-slim
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SHELL ["/bin/bash", "-ceuxo", "pipefail"]
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ENV DEBIAN_FRONTEND=noninteractive PIP_EXISTS_ACTION=w PIP_PREFER_BINARY=1
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RUN --mount=type=cache,target=/root/.cache/pip \
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pip install torch==1.12.0+cu116 --extra-index-url https://download.pytorch.org/whl/cu116
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RUN apt-get update && apt-get install git -y && apt-get clean
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RUN git clone https://github.com/invoke-ai/InvokeAI.git /stable-diffusion
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WORKDIR /stable-diffusion
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RUN --mount=type=cache,target=/root/.cache/pip <<EOF
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git reset --hard 5c31feb3a1096d437c94b6e1c3224eb7a7224a85
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git config --global http.postBuffer 1048576000
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pip install -r binary_installer/py3.10-linux-x86_64-cuda-reqs.txt
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EOF
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# patch match:
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# https://github.com/invoke-ai/InvokeAI/blob/main/docs/installation/INSTALL_PATCHMATCH.md
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RUN <<EOF
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apt-get update
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# apt-get install build-essential python3-opencv libopencv-dev -y
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apt-get install make g++ libopencv-dev -y
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apt-get clean
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cd /usr/lib/x86_64-linux-gnu/pkgconfig/
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ln -sf opencv4.pc opencv.pc
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EOF
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ARG BRANCH=main SHA=ed9186b09950f2652a0b07c93a08490f475435f7
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RUN --mount=type=cache,target=/root/.cache/pip <<EOF
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git fetch
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git reset --hard
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git checkout ${BRANCH}
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git reset --hard ${SHA}
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pip install -r binary_installer/py3.10-linux-x86_64-cuda-reqs.txt
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EOF
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RUN --mount=type=cache,target=/root/.cache/pip \
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pip install --force-reinstall opencv-python-headless && python3 -c "from patchmatch import patch_match"
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COPY . /docker/
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RUN <<EOF
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python3 /docker/info.py /stable-diffusion/frontend/dist/index.html
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touch ~/.invokeai
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EOF
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ENV ROOT=/stable-diffusion PYTHONPATH="${PYTHONPATH}:${ROOT}" PRELOAD=false CLI_ARGS=""
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EXPOSE 7860
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ENTRYPOINT ["/docker/entrypoint.sh"]
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CMD python3 -u scripts/invoke.py --web --host 0.0.0.0 --port 7860 --config /docker/models.yaml --root_dir ${ROOT} --outdir /output/invoke ${CLI_ARGS}
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