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# This file should remain in sync with .gitignore. If you need to make changes,
# please add a comment explaining why. For items that must be removed, comment
# them out instead of deleting them.
__pycache__/
*.py[cod]
/output/
/input/
# This file prevents the image from building and would be overwritten by the
# /data volume in any case.
#!/input/example.png
/models/
/temp/
/custom_nodes/
!custom_nodes/example_node.py.example
extra_model_paths.yaml
/.vs
.vscode/
.idea/
venv/
.venv/
/web/extensions/*
!/web/extensions/logging.js.example
!/web/extensions/core/
/tests-ui/data/object_info.json
/user/
*.log
web_custom_versions/
.DS_Store
openapi.yaml
filtered-openapi.yaml
uv.lock

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/web/assets/** linguist-generated
/web/** linguist-vendored
comfy_api_nodes/apis/__init__.py linguist-generated
# Force LF eol for Docker entrypoint (fix "exec: no such file or directory"
# error with CRLF checkouts)
entrypoint.sh text eol=lf

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# If you modify this file, remember to update .dockerignore as well.
__pycache__/
*.py[cod]
/output/

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# Docker buildfile for the ComfyUI image, with support for hardware
# acceleration, file ownership synchronization, custom nodes, and custom node
# managers.
# While Python 3.13 is well supported by ComfyUI, some older custom node packs
# may not work correctly with this version, which is why we're staying on Python
# 3.12 for now.
#
# Users are free to try different base Python image tags (e.g., 3.13, alpine,
# *-slim), but for maintainability, only one base version is officially
# supported at a time.
FROM python:3.12.12-trixie
# Install cmake, which is an indirect installation dependencies
RUN apt-get update && apt-get install -y --no-install-recommends cmake
# Create a regular user whose UID and GID will match the host user's at runtime.
# Also create a home directory for this user (-m), as some common Python tools
# (such as uv) interact with the users home directory.
RUN useradd -m comfyui
# Install ComfyUI under /comfyui and set folder ownership to the comfyui user.
# With the legacy Docker builder (DOCKER_BUILDKIT=0), WORKDIR always creates missing
# directories as root (even if a different USER is active). To ensure the comfyui user
# can write inside, ownership must be fixed manually.
WORKDIR /comfyui
RUN chown comfyui:comfyui .
# Install ComfyUI as ComfyUI
USER comfyui
# Set up a Python virtual environment and configure it as the default Python.
#
# Reasons for using a virtual environment:
# - Some custom nodes use third-party tools like uv, which do not support
# user-level installations.
# - Custom node managers may install or update dependencies as the regular user,
# so a global installation is not an option.
# This leaves virtual environments as the only viable choice.
RUN python -m venv .venv
ENV PATH="/comfyui/.venv/bin:$PATH"
# Install ComfyUI's Python dependencies. Although dependency keeping is also
# performed at startup, building ComfyUI's base dependencies into the image
# significantly speeds up each containers' first run.
#
# Since this step takes a long time to complete, it's performed early to take
# advantage of Docker's build cache, thereby accelerating subsequent builds.
COPY requirements.txt manager_requirements.txt ./
RUN pip install --no-cache-dir --disable-pip-version-check \
-r requirements.txt
# Install ComfyUI
COPY . .
# Purely declarative: inform Docker and image users that this image is designed
# to listen on port 8188 for the web GUI.
EXPOSE 8188
# Declare persistent volumes. We assign one volume per data directory to match
# ComfyUIs natural file layout and to let users selectively choose which
# directories they want to mount.
VOLUME /comfyui/.venv
VOLUME /comfyui/custom_nodes
VOLUME /comfyui/input
VOLUME /comfyui/models
VOLUME /comfyui/output
VOLUME /comfyui/temp
VOLUME /comfyui/user
VOLUME /home/comfyui
# Switch back to root to run the entrypoint and to install additional system
# dependencies
USER root
# Configure entrypoint
RUN chmod +x entrypoint.sh
ENTRYPOINT [ "./entrypoint.sh" ]
CMD [ "python", "./main.py" ]
# Install additional system dependencies
ARG APT_EXTRA_PACKAGES
RUN apt-get install -y --no-install-recommends $APT_EXTRA_PACKAGES \
&& apt-get clean \
&& rm -rf /var/lib/apt/lists/*

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@ -46,6 +46,12 @@ ComfyUI lets you design and execute advanced stable diffusion pipelines using a
- Get the latest commits and completely portable.
- Available on Windows.
#### [Docker Install](#running-with-docker)
- Run ComfyUI inside an isolated Docker container
- Most secure way to run ComfyUI and custom node packs
- Requires Docker and Docker Compose
- Supports NVIDIA GPUs (Not tested on other hardware.)
#### [Manual Install](#manual-install-windows-linux)
Supports all operating systems and GPU types (NVIDIA, AMD, Intel, Apple Silicon, Ascend).
@ -350,6 +356,28 @@ For models compatible with Iluvatar Extension for PyTorch. Here's a step-by-step
| `--enable-manager-legacy-ui` | Use the legacy manager UI instead of the new UI (requires `--enable-manager`) |
| `--disable-manager-ui` | Disable the manager UI and endpoints while keeping background features like security checks and scheduled installation completion (requires `--enable-manager`) |
## Running with Docker
Start by installing Docker, Docker Compose, and the NVIDIA Container Toolkit on
your host. Next, edit `compose.yaml` and update the `UID` and `GID` variables to
match your user. Additional fields are documented in the file for further
customization.
Once ready, build and run the image locally:
```shell
# (Re)build the Docker image. Run this before the first start, after updating
# ComfyUI, or after changing any build arguments in `compose.yaml`.
docker compose build
# Start ComfyUI. This reuses the most recently built image.
docker compose up
```
To stop and remove the container along with its volumes, run:
```shell
docker compose down -v
```
# Running

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# Docker Compose file to run ComfyUI locally using Docker.
services:
comfyui:
container_name: comfyui
build:
context: .
args:
# Declare additional system dependencies for custom nodes
APT_EXTRA_PACKAGES:
ports:
- 8188:8188
# Optional: enable GPU access for hardware acceleration.
deploy:
resources:
reservations:
devices:
- capabilities: [gpu]
volumes:
- ./custom_nodes:/comfyui/custom_nodes
- ./models:/comfyui/models
# (Optional) Mount host ComfyUI data directories
#
#- ./input:/comfyui/input
#- ./output:/comfyui/output
#- ./temp:/comfyui/temp
#- ./user:/comfyui/user
environment:
# Overwrite the container user's UID and GID to match the host's. This
# allows files created by ComfyUI to be mounted on the host without
# permission issues.
UID: 1000
GID: 1000
# Declare additional Python packages to install. Useful when a custom node
# pack does not properly specify all its dependencies or relies on
# optional dependencies.
PIP_EXTRA_PACKAGES:
# Optional: Override the default command. In this case, configure ComfyUI to
# listen on all network interfaces (which is required when not using
# `network_mode=host`.)
command: python ./main.py --listen 0.0.0.0

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#!/bin/sh
# Entrypoint script for the ComfyUI Docker image.
set -e
user="comfyui"
user_group="$user"
# Allow users to specify a UID and GID matching their own, so files created
# inside the container retain the same numeric ownership when mounted on the
# host.
if [ -n "$UID" ] && [ -n "$GID" ]; then
echo "[entrypoint] Setting user UID and GID..."
usermod -u "$UID" "$user" > /dev/null
groupmod -g "$GID" "$user_group"
else
echo "[entrypoint] Missing UID or GID environment variables; keeping default values."
fi
# Changing a user's UID and GID revokes that user's access to files owned by the
# original UID/GID. To preserve access to runtime data, the ownership of those
# directories must be updated recursively so that their numeric owner matches
# the user's new UID and GID.
echo "[entrypoint] Changing directory ownership..."
chown -R "$user:$user_group" \
/comfyui \
/home/comfyui
# To use CUDA and other NVIDIA features, regular users must belong to the group
# that owns the /dev/nvidia* device files -- typically the video group.
#
# Known issue: Because these device files are mounted from the host system,
# there's no guarantee that the device's group ID will match the intended group
# inside the container. For example, the video group might be mapped to GID 27
# on the host, which corresponds to the sudo group in the python:3.12 image.
# This shouldn't cause major problems, and given the lack of a universal
# standard for system GIDs, there isn't much we can realistically change to
# address this issue.
echo "[entrypoint] Adding user to GPU device groups..."
for dev in /dev/nvidia*; do
group=$(ls -ld "$dev" | awk '{print $4}')
usermod -aG "$group" "$user"
done
# Install or update the Python dependencies defined by ComfyUI (or any installed
# custom node) and also install any user-defined dependencies specified in
# PIP_EXTRA_PACKAGES.
echo "[entrypoint] Updating Python dependencies..."
su -c "
pip install \\
--no-cache-dir \\
--disable-pip-version-check \\
-r requirements.txt \\
$(find custom_nodes -mindepth 2 -maxdepth 2 -type f -name requirements.txt -printf "-r '%p' ") \\
$PIP_EXTRA_PACKAGES
" comfyui \
|| echo "[entrypoint] Failed to install dependencies, starting anyway" >&2
# Run command as comfyui
echo "[entrypoint] Running command"
exec su -c "$*" comfyui