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-FROM pytorch/pytorch:1.13.1-cuda11.6-cudnn8-devel
-
-# Arguments to build Docker Image using CUDA
-ARG USE_CUDA=1
-ARG TORCH_ARCH=
-
-ENV AM_I_DOCKER=True
-ENV BUILD_WITH_CUDA=True
-ENV CUDA_HOME=/usr/local/cuda-11.6/
-ENV TORCH_CUDA_ARCH_LIST="3.5;5.0;6.0;6.1;7.0;7.5;8.0;8.6+PTX"
-
-ENV DEBIAN_FRONTEND=noninteractive
-
-RUN apt-get update && apt-get upgrade -y && apt-get install -y \
-    curl \
-    git \
-    wget \
-    vim \
-    sudo \
-    tar \
-    unzip \
-    openssh-server \
-    python3-pip \
-    build-essential \
-    ninja-build \
-    cmake \
-    swig \
-    libopenblas-dev \
-    ffmpeg \
-    libsm6 \
-    libxext6 \
-    libssl-dev \
-    zlib1g-dev \
-    libbz2-dev \
-    libreadline-dev \
-    libsqlite3-dev \
-    libncursesw5-dev \
-    xz-utils \
-    tk-dev \
-    libxml2-dev \
-    libxmlsec1-dev \
-    libffi-dev \
-    liblzma-dev \
-    python3-venv \
-    git-lfs \
-    && rm -rf /var/lib/apt/lists/*
-
-# symlink for python3
-RUN ln -s /usr/bin/python3 /usr/bin/python
-
-# add user and his password
-ENV USER=garage_docker
-ARG UID=1000
-ARG GID=1000
-# default password
-ARG PW=user
-
-RUN useradd -m ${USER} --uid=${UID} && echo "${USER}:${PW}" | chpasswd && adduser ${USER} sudo
-WORKDIR /home/${USER}
-
-# create some directories for mounting volumes
-RUN mkdir Garage && chown -R ${UID}:${GID} /home/${USER}
-COPY . /home/${USER}/Garage
-
-USER root
-
-# Ensure proper permissions for the Garage directory
-RUN chown -R ${UID}:${GID} /home/${USER}/Garage
-RUN chmod -R u+w /home/${USER}/Garage
-
-USER ${UID}:${GID}
-
-ENV PATH="/home/${USER}/.local/bin:$PATH"
-
-# Configure Git to trust the repository's directory
-RUN git config --global --add safe.directory /home/${USER}/Garage
-
-# create venv
-ENV VIRTUAL_ENV="/home/${USER}/.venv"
-ENV PATH="$VIRTUAL_ENV/bin:$PATH"
-RUN python -m venv $VIRTUAL_ENV
-
-COPY requirements.txt /tmp/requirements.txt
-RUN python3 -m pip install -r /tmp/requirements.txt
-
-# Install PyTorch with the correct CUDA version
-RUN pip install torch==1.13.1+cu116 torchvision==0.14.1+cu116 torchaudio==0.13.1 -f https://download.pytorch.org/whl/torch_stable.html
-
-# install models for segmentation
-RUN python -m pip install --no-cache-dir -e /home/${USER}/Garage/Garage/models/GroundedSegmentAnything/segment_anything
-# When using build isolation, PyTorch with newer CUDA is installed and can't compile GroundingDINO
-RUN python -m pip install --no-cache-dir wheel
-WORKDIR /home/${USER}/Garage/Garage/models/GroundedSegmentAnything/GroundingDINO
-RUN python /home/${USER}/Garage/Garage/models/GroundedSegmentAnything/GroundingDINO/setup.py build
-RUN python /home/${USER}/Garage/Garage/models/GroundedSegmentAnything/GroundingDINO/setup.py install
-
-# download weights
-WORKDIR /home/${USER}/Garage/Garage/models
-RUN mkdir checkpoints && chown -R ${UID}:${GID} /home/${USER}
-WORKDIR /home/${USER}/Garage/Garage/models/checkpoints
-RUN mkdir GroundedSegmentAnything && chown -R ${UID}:${GID} /home/${USER}
-WORKDIR /home/${USER}/Garage
-
-RUN git lfs clone https://huggingface.co/JunhaoZhuang/PowerPaint-v2-1/ /home/${USER}/Garage/Garage/models/checkpoints/ppt-v2-1
-RUN git lfs clone https://huggingface.co/llava-hf/llava-1.5-7b-hf /home/${USER}/Garage/Garage/models/checkpoints/llava-1.5-7b-hf
-RUN git lfs clone https://huggingface.co/danulkin/llama /home/${USER}/Garage/Garage/models/checkpoints/llama-3-8b-Instruct
-RUN wget -O /home/${USER}/Garage/Garage/models/checkpoints/GroundedSegmentAnything/sam_vit_h_4b8939.pth https://dl.fbaipublicfiles.com/segment_anything/sam_vit_h_4b8939.pth
-RUN wget -O /home/${USER}/Garage/Garage/models/checkpoints/GroundedSegmentAnything/groundingdino_swint_ogc.pth https://github.com/IDEA-Research/GroundingDINO/releases/download/v0.1.0-alpha/groundingdino_swint_ogc.pth
-
-# upgrade pip
-ARG PIP_VERSION=23.3.1
-ARG SETUPTOOLS_VERSION=68.2.2
-RUN pip install pip==${PIP_VERSION} setuptools==${SETUPTOOLS_VERSION}
-
-EXPOSE 7860
-ENV GRADIO_SERVER_NAME="0.0.0.0"
-
-CMD ["python", "app.py"]