Add Docker build script, Dockerfile, and Docker Compose setup for GPU compatibility

Dockerfile

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+FROM nvidia/cuda:12.1.0-base-ubuntu20.04 AS base
+ENV DEBIAN_FRONTEND=noninteractive
+
+# Install necessary dependencies and Python 3.12
+RUN apt-get update \
+    && apt-get install -y \
+    git \
+    software-properties-common \
+    curl \
+    && add-apt-repository ppa:deadsnakes/ppa \
+    && apt-get update \
+    && apt-get install -y \
+    python3.12 \
+    python3.12-dev \
+    python3.12-venv \
+    python3-setuptools \
+    wget \
+    ffmpeg \
+    libsm6 \
+    libxext6 \
+    libgl1 \
+    && apt-get clean \
+    && rm -rf /var/lib/apt/lists/*
+
+# Install pip for Python 3.12 explicitly
+RUN curl https://bootstrap.pypa.io/get-pip.py -o get-pip.py \
+    && python3.12 get-pip.py \
+    && rm get-pip.py
+
+# Set Python 3.12 as the default python3 and pip
+RUN update-alternatives --install /usr/bin/python3 python3 /usr/bin/python3.12 1 \
+    && update-alternatives --install /usr/bin/pip pip /usr/local/bin/pip3 1
+
+# Set the working directory
+WORKDIR /app
+
+# Clone the ComfyUI repository into the working directory
+RUN git clone https://github.com/comfyanonymous/ComfyUI.git /app/comfyui
+
+# Install backend dependencies
+RUN python3 -m venv /app/venv
+RUN . venv/bin/activate && pip install --upgrade pip
+RUN . venv/bin/activate && pip install pyyaml
+RUN . venv/bin/activate && pip install -r /app/comfyui/requirements.txt
+
+# Install PyTorch with CUDA 12.1 support
+RUN . venv/bin/activate && pip install torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/cu121
+
+# Expose the backend port
+EXPOSE 8188
+
+# Set the entrypoint command to activate the virtual environment and run the script
+CMD ["/bin/bash", "-c", "source /app/venv/bin/activate && python3 /app/comfyui/main.py --listen 0.0.0.0 --port 8188 && echo 'Server started and ready to accept requests'"]

docker-build.sh

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+#!/bin/bash
+
+# Check if Docker and Docker Compose are installed
+if ! command -v docker &> /dev/null || ! command -v docker-compose &> /dev/null
+then
+    echo "Docker or Docker Compose not found. Please install them before proceeding."
+    exit 1
+fi
+
+# Build and start the container
+docker-compose up --build -d
+
+# Wait for the container logs to indicate it's ready (looking for the custom message)
+container_name="comfyui-v1"
+while ! docker logs "$container_name" 2>&1 | grep -q "Server started and ready to accept requests"; do
+    echo "Waiting for the container to be fully started..."
+    sleep 1
+done
+
+# Copy the 'venv' directory from the container to the host
+docker cp "$container_name:/app/venv" ./data/venv
+
+# Optional: Stop the container after everything is set up
+docker-compose down
+
+echo "The container is set up, and the virtual environment is ready at ./venv."

docker-compose.yml

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+services:
+  comfyui_backend:
+    build:
+      context: .
+      dockerfile: Dockerfile
+    container_name: comfyui-red-docker
+    ports:
+      - "8188:8188"  # Expose the backend API or server
+    volumes:
+      - ./venv:/app/venv  # Mount the venv directory for persistence helps with downloading custom nodes's dependencies from ConfyUI-Manager
+      - ./input:/app/comfyui/input  # Mount the input directory directly inside /app/comfyui
+      - ./models:/app/comfyui/models  # Mount the models directory directly inside /app/comfyui
+      - ./output:/app/comfyui/output  # Mount the output directory directly inside /app/comfyui
+      - ./custom_nodes:/app/comfyui/custom_nodes  # Mount the custom nodes directory directly inside /app/comfyui
+      - ./user:/app/comfyui/user  # Comment this line and uncomment the next line if you want to have a workflows directory in the root directory.
+      #- ./workflows:/app/comfyui/user/default/workflows 
+       
+    environment:
+      - DISPLAY=${DISPLAY}  # Optional, for X11 display forwarding (if you use it)
+      - NVIDIA_VISIBLE_DEVICES=all  # Ensure NVIDIA GPU is available to the container
+      - NVIDIA_DRIVER_CAPABILITIES=all  # For CUDA support
+    runtime: nvidia  # Use the NVIDIA runtime for GPU support 
+    restart: "no" #change to "always" if you want to restart the container