Dockerfile

FROM nvidia/cuda:11.3.1-cudnn8-devel-ubuntu18.04
#CMD nvidia-smi

ENV DEBIAN_FRONTEND=noninteractive 

# Install Python 3.9 (or any other version you need)
RUN apt-get install -y python3.9

RUN apt-get update -y && apt-get upgrade -y && apt-get install -y sudo && apt-get install -y python3-pip && pip3 install --upgrade pip
RUN apt-get install -y curl gnupg wget htop sudo git git-lfs software-properties-common build-essential libgl1 zip unzip

# Set up a new user named "user" with user ID 1000
RUN useradd -m -u 1000 user

# Switch to the "user" user
USER user

ENV HOME=/home/user \
    PATH=/home/user/.local/bin:$PATH

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

# Clone your repository or add your code to the container
RUN git clone -b dev https://github.com/camenduru/DiffBIR $HOME/app

# Install PyTorch and torchvision with a specific CUDA toolkit version
#RUN pip install torch==1.12.1+cu113 torchvision==0.13.1+cu113 -f https://download.pytorch.org/whl/torch_stable.html

# Install Python dependencies
RUN pip3 install -q einops pytorch_lightning gradio omegaconf xformers==0.0.20 transformers lpips opencv-python

# Install open_clip from GitHub
RUN pip3 install -q git+https://github.com/mlfoundations/open_clip@v2.20.0

# Use sudo to install aria2 with elevated privileges
USER root
RUN apt-get update && apt-get install -y sudo wget libgl1-mesa-glx && \
    wget https://github.com/aria2/aria2/releases/download/release-1.36.0/aria2-1.36.0.tar.gz && \
    tar -xzvf aria2-1.36.0.tar.gz && \
    cd aria2-1.36.0 && \
    ./configure && \
    make && \
    make install && \
    cd .. && \
    rm -rf aria2-1.36.0 && \
    rm aria2-1.36.0.tar.gz

# Switch back to the "user" user
USER user

# Download checkpoint files using aria2
RUN aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lxq007/DiffBIR/resolve/main/general_full_v1.ckpt -d $HOME/app/models -o general_full_v1.ckpt
RUN aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lxq007/DiffBIR/resolve/main/general_swinir_v1.ckpt -d $HOME/app/models -o general_swinir_v1.ckpt

# Expose any necessary ports (if your application requires it)
# EXPOSE 80

RUN find $HOME/app

# Define the command to run your application
CMD ["python", "gradio_diffbir.py", "--ckpt", "/home/user/app/models/general_full_v1.ckpt", "--config", "/home/user/app/configs/model/cldm.yaml", "--reload_swinir", "--swinir_ckpt", "/home/user/app/models/general_swinir_v1.ckpt"]