Commands ran against Ubuntu 18.04 AMI with G4 GPU to start Avatarify remote worker

history

(avatarify) ubuntu@ip-172-31-44-117:~/avatarify$ history
    1  sudo apt-get update
    2  sudo apt-get install -y libsm6 libxext6 libxrender-dev
    3  wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh
    4  ls
    5  bash Miniconda3-latest-Linux-x86_64.sh
    6  git clone https://github.com/alievk/avatarify.git
    7  cd avatarify/
    8  bash scripts/install.sh --no-vcam
    9  cd ..
   10  ls
   11  rm Miniconda3-latest-Linux-x86_64.sh
   12  ls
   13  source $HOME/miniconda3/bin/activate
   14  conda --help
   15  cd avatarify/
   16  bash scripts/install.sh --no-vcam
   17  conda activate avatarify
   18  sudo apt-get update -y
   19  cd ..
   20  sudo reboot
   21  sudo apt-get install -y gcc make linux-headers-$(uname -r)
   22  cat << EOF | sudo tee --append /etc/modprobe.d/blacklist.conf
   23  blacklist vga16fb
   24  blacklist nouveau
   25  blacklist rivafb
   26  blacklist nvidiafb
   27  blacklist rivatv
   28  EOF
   29  sudo vim /etc/default/grub
   30  sudo update-grub
   31  aws s3 cp --recursive s3://nvidia-gaming/linux/latest/ .
   32  sudo apt install awscli
   33  aws configure
   34  aws s3 cp --recursive s3://nvidia-gaming/linux/latest/ .
   35  ls
   36  sudo apt-get install unzip
   37  unzip GRID-445.48-Apr2020-vGaming-Linux-Guest-Drivers.zip
   38  ls
   39  rm GRID-445.48-Apr2020-vGaming-Linux-Guest-Drivers.zip
   40  df
   41  cd Linux/
   42  ls
   43  chmod +x NVIDIA-Linux-x86_64*.run
   44  sudo ./NVIDIA-Linux-x86_64*.run
   45  cat << EOF | sudo tee -a /etc/nvidia/gridd.conf
   46  vGamingMarketplace=2
   47  EOF
   48  sudo curl -o /etc/nvidia/GridSwCert.txt "https://nvidia-gaming.s3.amazonaws.com/GridSwCert-Archive/GridSwCert-Linux_2020_04.cert"
   49  sudo reboot
   50  ls
   51  history
   52  cd avatarify/
   53  conda activate avatarify
   54  bash run.sh --is-worker
   55  nvidia-smi
   56  bash run.sh --is-worker
   57  history
(avatarify) ubuntu

Hi can you make an AMI, that would make it so much easier for people to use.