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Add ControlNet v1.1.455 Extension to this auto Dockerfile. #777

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Add ControlNet v1.1.455 Extension to this auto Dockerfile. #777

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28 changes: 28 additions & 0 deletions services/AUTOMATIC1111/Dockerfile
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Original file line number Diff line number Diff line change
Expand Up @@ -50,6 +50,7 @@ RUN --mount=type=cache,target=/root/.cache/pip \
RUN apt-get -y install libgoogle-perftools-dev && apt-get clean
ENV LD_PRELOAD=libtcmalloc.so


COPY . /docker

RUN \
Expand All @@ -58,6 +59,33 @@ RUN \
sed -i 's/in_app_dir = .*/in_app_dir = True/g' /opt/conda/lib/python3.10/site-packages/gradio/routes.py && \
git config --global --add safe.directory '*'

# After the base Python/Conda setup, add:
RUN pip install insightface
# Fix numpy compatibility issues
RUN pip install --no-cache-dir \
numpy==1.23.5 \
scikit-image==0.19.3 \
opencv-python-headless==4.8.1.78

# Install system dependencies for ControlNet
RUN apt-get update && apt-get install -y \
libglib2.0-0 \
libsm6 \
libxext6 \
libxrender-dev \
libgomp1 \
libgstreamer1.0-0 \
&& rm -rf /var/lib/apt/lists/*

# Install mediapipe for ControlNet
RUN pip install --no-cache-dir mediapipe==0.10.9

# Pre-install ControlNet (optional - if you want it built-in)
RUN cd /stable-diffusion-webui/extensions && \
git clone https://github.com/Mikubill/sd-webui-controlnet.git && \
cd sd-webui-controlnet && \
pip install --no-cache-dir -r requirements.txt

WORKDIR ${ROOT}
ENV NVIDIA_VISIBLE_DEVICES=all
ENV CLI_ARGS=""
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