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- Add docker image.
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FROM nvidia/cuda:11.6.2-cudnn8-devel-ubuntu20.04
# Remove any third-party apt sources to avoid issues with expiring keys.
RUN rm -f /etc/apt/sources.list.d/*.list
RUN apt-get update
RUN DEBIAN_FRONTEND=noninteractive TZ=Europe/MADRID apt-get install -y tzdata
# Install some basic utilities
RUN apt-get install -y \
curl \
ca-certificates \
sudo \
git \
bzip2 \
libx11-6 \
python3 \
python3-pip \
libglfw3-dev \
libgles2-mesa-dev \
libglib2.0-0 \
&& rm -rf /var/lib/apt/lists/*
# Create a working directory
RUN mkdir /app
WORKDIR /app
RUN cd /app
RUN git clone https://github.com/ashawkey/stable-dreamfusion.git
RUN pip3 install torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/cu116
WORKDIR /app/stable-dreamfusion
RUN pip3 install -r requirements.txt
RUN pip3 install git+https://github.com/NVlabs/nvdiffrast/
# Needs nvidia runtime, if you have "No CUDA runtime is found" error: https://stackoverflow.com/questions/59691207/docker-build-with-nvidia-runtime, first answer
RUN pip3 install git+https://github.com/NVlabs/tiny-cuda-nn/#subdirectory=bindings/torch
RUN pip3 install git+https://github.com/openai/CLIP.git
RUN bash scripts/install_ext.sh
# Set the default command to python3
#CMD ["python3"]