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docker/Dockerfile

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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"]
+

docker/README.md

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+### Docker installation
+
+## Build image
+To build the docker image on your own machine, which may take 15-30 mins:
+```
+docker build -t stable-dreamfusion:latest .
+```
+
+If you have the error **No CUDA runtime is found** when building the wheels for tiny-cuda-nn you need to setup the nvidia-runtime for docker.
+```
+sudo apt-get install nvidia-container-runtime
+```
+Then edit `/etc/docker/daemon.json` and add the default-runtime:
+```
+{
+    "runtimes": {
+        "nvidia": {
+            "path": "nvidia-container-runtime",
+            "runtimeArgs": []
+        }
+    },
+    "default-runtime": "nvidia"
+}
+```
+And restart docker:
+```
+sudo systemctl restart docker
+```
+Now you can build tiny-cuda-nn inside docker.
+
+## Download image
+To download the image (~6GB) instead:
+```
+docker pull supercabb/stable-dreamfusion:3080_0.0.1
+docker tag supercabb/stable-dreamfusion:3080_0.0.1 stable-dreamfusion
+```
+
+## Use image
+
+You can launch an interactive shell inside the container:
+
+```
+docker run --gpus all -it --rm -v $(cd ~ && pwd):/mnt stable-dreamfusion /bin/bash
+```
+From this shell, all the code in the repo should work.
+
+To run any single command `<command...>` inside the docker container:
+```
+docker run --gpus all -it --rm -v $(cd ~ && pwd):/mnt stable-dreamfusion /bin/bash -c "<command...>"
+```
+To train:
+```
+export TOKEN="#HUGGING FACE ACCESS TOKEN#"
+docker run --gpus all -it --rm -v $(cd ~ && pwd):/mnt stable-dreamfusion /bin/bash -c "echo ${TOKEN} > TOKEN \
+&& python3 main.py --text \"a hamburger\" --workspace trial -O"
+
+```
+Run test without gui:
+```
+export PATH_TO_WORKSPACE="#PATH_TO_WORKSPACE#"
+docker run --gpus all -it --rm -e DISPLAY=$DISPLAY -v /tmp/.X11-unix:/tmp/.X11-unix:ro -v $(cd ~ && pwd):/mnt \
+-v $(cd ${PATH_TO_WORKSPACE} && pwd):/app/stable-dreamfusion/trial stable-dreamfusion /bin/bash -c "python3 \
+main.py --workspace trial -O --test"
+```
+Run test with gui:
+```
+export PATH_TO_WORKSPACE="#PATH_TO_WORKSPACE#"
+xhost +
+docker run --gpus all -it --rm -e DISPLAY=$DISPLAY -v /tmp/.X11-unix:/tmp/.X11-unix:ro -v $(cd ~ && pwd):/mnt \
+-v $(cd ${PATH_TO_WORKSPACE} && pwd):/app/stable-dreamfusion/trial stable-dreamfusion /bin/bash -c "python3 \
+main.py --workspace trial -O --test --gui"
+xhost -
+```
+
+
+
+
+
+
+