710280c7ab
- auto:2995107fa2- More samplers - Textual inversion training - hlky:1a9c053cb7- Build times are SLOW - lstein:4f247a3672- Prepare for 2.0 release - very cool new UI!
51 lines
1.6 KiB
Docker
51 lines
1.6 KiB
Docker
# syntax=docker/dockerfile:1
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FROM continuumio/miniconda3:4.12.0
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SHELL ["/bin/bash", "-ceuxo", "pipefail"]
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ENV DEBIAN_FRONTEND=noninteractive
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RUN conda install python=3.8.5 && conda clean -a -y
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RUN conda install pytorch==1.11.0 torchvision==0.12.0 cudatoolkit=11.3 -c pytorch && conda clean -a -y
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RUN apt-get update && apt install fonts-dejavu-core rsync gcc -y && apt-get clean
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RUN <<EOF
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git config --global http.postBuffer 1048576000
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git clone https://github.com/sd-webui/stable-diffusion-webui.git stable-diffusion
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cd stable-diffusion
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git reset --hard 1a9c053cb7b6832695771db2555c0adc9b41e95f
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conda env update --file environment.yaml -n base
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conda clean -a -y
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EOF
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# Note: don't update the sha of previous versions because the install will take forever
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# instead, update the repo state in a later step
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ARG BRANCH=master SHA=1a9c053cb7b6832695771db2555c0adc9b41e95f
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# ARG BRANCH=dev SHA=1e7bdfe3f38a6dd37fc230f440ea1b0db0937240
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RUN <<EOF
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cd stable-diffusion
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git fetch
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git checkout ${BRANCH}
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git reset --hard ${SHA}
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conda env update --file environment.yaml -n base
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conda clean -a -y
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EOF
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RUN pip install -U --no-cache-dir pyperclip
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# add info
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COPY . /docker/
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RUN python /docker/info.py /stable-diffusion/frontend/frontend.py && chmod +x /docker/mount.sh
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WORKDIR /stable-diffusion
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ENV PYTHONPATH="${PYTHONPATH}:${PWD}" CLI_ARGS=""
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EXPOSE 7860
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# run, -u to not buffer stdout / stderr
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CMD /docker/mount.sh && \
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python3 -u scripts/webui.py --outdir /output --ckpt /data/StableDiffusion/model.ckpt ${CLI_ARGS}
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# sed -i -- 's/8501/7860/g' .streamlit/config.toml && STREAMLIT_SERVER_HEADLESS=true python -u -m streamlit run scripts/webui_streamlit.py --theme.base dark
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