Add Dockerfile

Based on ComfyUI PR #530

Co-Authored-By: ZacharyACoon <show>

.dockerignore

@@ -0,0 +1,7 @@
+.git
+__pycache__/
+*.py[cod]
+input
+models
+notebooks
+output

Dockerfile

@@ -0,0 +1,71 @@
+# syntax=docker/dockerfile:1
+
+ARG PYTHON_VERSION=3.11
+
+FROM python:${PYTHON_VERSION}-slim
+
+ARG PYTORCH_INSTALL_ARGS=""
+ARG EXTRA_ARGS=""
+ARG USERNAME=comfyui
+ARG USER_UID=1000
+ARG USER_GID=${USER_UID}
+
+# Fail fast on errors or unset variables
+SHELL ["/bin/bash", "-eux", "-o", "pipefail", "-c"]
+
+RUN <<EOF
+	groupadd --gid ${USER_GID} ${USERNAME}
+	useradd --uid ${USER_UID} --gid ${USER_GID} -m ${USERNAME}
+EOF
+
+RUN <<EOF
+	apt-get update
+	apt-get install -y --no-install-recommends \
+		git \
+		git-lfs \
+		rsync \
+		fonts-recommended
+EOF
+
+# run instructions as user
+USER ${USER_UID}:${USER_GID}
+
+WORKDIR /app
+
+ENV XDG_CACHE_HOME=/cache
+ENV PIP_CACHE_DIR=/cache/pip
+ENV VIRTUAL_ENV=/app/venv
+ENV VIRTUAL_ENV_CUSTOM=/app/custom_venv
+
+# create cache directory. During build we will use a cache mount,
+# but later this is useful for custom node installs
+RUN --mount=type=cache,target=/cache/,uid=${USER_UID},gid=${USER_GID} \
+	mkdir -p ${PIP_CACHE_DIR}
+
+# create virtual environment to manage packages
+RUN python -m venv ${VIRTUAL_ENV}
+
+# run python from venv (prefer custom_venv over baked-in one)
+ENV PATH="${VIRTUAL_ENV_CUSTOM}/bin:${VIRTUAL_ENV}/bin:${PATH}"
+
+RUN --mount=type=cache,target=/cache/,uid=${USER_UID},gid=${USER_GID} \
+	pip install torch torchvision torchaudio ${PYTORCH_INSTALL_ARGS}
+
+# copy requirements files first so packages can be cached separately
+COPY --chown=${USER_UID}:${USER_GID} requirements.txt .
+RUN --mount=type=cache,target=/cache/,uid=${USER_UID},gid=${USER_GID} \
+	pip install -r requirements.txt
+
+COPY --chown=${USER_UID}:${USER_GID} . .
+
+# default environment variables
+ENV COMFYUI_ADDRESS=0.0.0.0
+ENV COMFYUI_PORT=8188
+ENV COMFYUI_EXTRA_ARGS=""
+# default start command
+CMD \
+	if [ -d "${VIRTUAL_ENV_CUSTOM}" ]; then \
+		rsync -aP "${VIRTUAL_ENV}/" "${VIRTUAL_ENV_CUSTOM}/" ;\
+		sed -i "s!${VIRTUAL_ENV}!${VIRTUAL_ENV_CUSTOM}!g" "${VIRTUAL_ENV_CUSTOM}/pyvenv.cfg" ;\
+	fi ;\
+	python -u main.py --listen ${COMFYUI_ADDRESS} --port ${COMFYUI_PORT} ${EXTRA_ARGS} ${COMFYUI_EXTRA_ARGS}

README.md

@@ -134,6 +134,25 @@ Install the dependencies by opening your terminal inside the ComfyUI folder and:
 
 After this you should have everything installed and can proceed to running ComfyUI.
 
+## Docker
+
+You can build a docker image with the Dockerfile in this repo.
+
+Specify PYTORCH_INSTALL_ARGS build arg with one of the PyTorch commands above to build for AMD or NVIDIA GPUs.
+
+```docker build --build-arg PYTORCH_INSTALL_ARGS="--index-url https://download.pytorch.org/whl/cu121" .```
+
+```docker build --build-arg PYTORCH_INSTALL_ARGS="--index-url https://download.pytorch.org/whl/rocm6.0" .```
+
+This dockerfile requires BuildKit to be enabled. If your docker does not support the buildx command, you can
+enable BuildKit by setting the DOCKER_BUILDKIT environment variable.
+
+```DOCKER_BUILDKIT=1 docker build --build-arg PYTORCH_INSTALL_ARGS="--index-url https://download.pytorch.org/whl/cu121" .```
+
+NOTE: For building the CPU-only image, it is recommended that you add the --cpu flag to the EXTRA_ARGS build arg:
+
+```docker build --build-arg PYTORCH_INSTALL_ARGS="--index-url https://download.pytorch.org/whl/cpu" --build-arg EXTRA_ARGS=--cpu .```
+
 ### Others:
 
 #### Intel GPUs

docker-compose.yaml

@@ -0,0 +1,20 @@
+version: "3.9"
+
+services:
+  comfyui:
+    user: "1000:1000"
+    build: .
+    deploy:
+      resources:
+        reservations:
+          devices:
+            - driver: nvidia
+              count: 1
+              capabilities: [gpu]
+    ports:
+      - "8188:8188"
+    volumes:
+      - "./models:/app/models"
+      - "./input:/app/input"
+      - "./temp:/app/output/temp"
+      - "./output:/app/output"