Dockerfile

FROM nvidia/cuda:12.1.1-cudnn8-devel-ubuntu22.04

ARG DEBIAN_FRONTEND=noninteractive

ENV PYTHONUNBUFFERED=1

RUN apt-get update && apt-get install --no-install-recommends -y \
  build-essential \
  wget \
  git \
  && apt-get clean && rm -rf /var/lib/apt/lists/*

WORKDIR /code

COPY ./requirements.txt /code/requirements.txt

# Set up a new user named "user" with user ID 1000
RUN useradd -m -u 1000 user
# Switch to the "user" user
USER user
# Set home to the user's home directory
ENV HOME=/home/user \
	PATH=/home/user/.local/bin:$PATH \
    PYTHONPATH=$HOME/app \
	PYTHONUNBUFFERED=1 \
	SYSTEM=spaces

# Install miniconda
RUN mkdir -p /home/user/conda 
ENV CONDA_DIR /home/user/conda
RUN wget --quiet https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh -O ~/miniconda.sh && \
    /bin/bash ~/miniconda.sh -b -p /home/user/conda

# Put conda in path so we can use conda activate
ENV PATH=$CONDA_DIR/bin:$PATH

# Activate 
RUN conda init bash

RUN . /home/user/conda/bin/activate

# Install dependencies
RUN conda create -n pose python=3.8 
RUN conda activate pose

RUN pip install torch==2.1.0 torchvision==0.16.0 torchaudio==2.1.0 --index-url https://download.pytorch.org/whl/cu118

RUN pip install -r /code/requirements.txt

RUN conda install -c conda-forge cudatoolkit-dev -y
ENV CUDA_HOME=$CONDA_PREFIX/pkgs/cuda-toolkit/
RUN pip install "git+https://github.com/facebookresearch/pytorch3d.git@stable"


RUN wget https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0/resolve/main/sd_xl_base_1.0.safetensors -P /code/pretrained_models
RUN wget https://huggingface.co/stabilityai/sdxl-vae/resolve/main/sdxl_vae.safetensors -P /code/pretrained_models

# Set the working directory to the user's home directory
WORKDIR $HOME/app

# Copy the current directory contents into the container at $HOME/app setting the owner to the user
COPY --chown=user . $HOME/app

CMD ["python", "app.py"]