📦 Pack workflow environments as artifacts: Saves the workflow environment in a .cpack.zip artifact with Python package versions, ComfyUI and custom node revisions, and model hashes.
✨ Unpack artifacts to recreate workflow environments: Unpacks the .cpack.zip artifact to recreate the same environment with the exact Python package versions, ComfyUI and custom node revisions, and model weights.
🚀 Deploy workflows as APIs: Deploys the workflow as a RESTful API with customizable input and output parameters.

Motivations

When sharing ComfyUI workflows to others, your audiences or team member, you've likely heard these responses:

"Custom Node not found"
"Cannot find the model file"
"Missing Python dependencies"

These are fundamental challenges in workflow sharing – every component must match exactly: custom nodes, model files, and Python dependencies.

We learned it from our communit, and developed Comfy-Pack to address this directly. With a single click, it captures and locks your entire workflow environment into a .cpack.zip file, including Python packages, custom nodes, model hashes, and required assets.

Users can recreate the exact environment with one command:

comfy-pack unpack workflow.cpack.zip

Focus on creating. Let Comfy-Pack handle the rest.

Quick Start

Installation

Search comfy-pack in ComfyUI Manager (Recommended)

or install from Git:

git clone https://github.com/bentoml/comfy-pack.git

Pack a ComfyUI workflow

Click "Package" button to create .cpack.zip
(Optional) select the models that you want to include (only model hash will be recorded, so you wont get a 100GB zip file)

Unpack a ComfyUI workflow

# Restore the full ComfyUI directory from cpack files.
comfy-pack unpack workflow.cpack.zip

Deploy a workflow as an API

1. annotate input & output

2. serve and test locally

3. (Optional) pack & run anywhere

# Get the workflow input spec
comfy-pack run workflow.cpack.zip --help

# Run
comfy-pack run workflow.cpack.zip --src-image image.png --video video.mp4

4. (Optional) deploy to cloud *

Custom Node List

ComfyPack provides custom nodes for standardizing inputs:

ImageInput: provides image type input, similar to official LoadImage node
StringInput: provides string type input, nice for prompts
IntInput: provides int type input, suitable for size or seeds
AnyInput: provides combo type and more input, suitable for custom nodes
ImageOutput: takes image type inputs, similar to official SaveImage node, take an image of a bunch of images
FileOutput: takes file path as string type, save and output the file under that path
...

These nodes help define clear interfaces for your workflow.

🚀 Roadmap

Docker Support
local cpack manager and Version Control
Enhanced service capabilities

Examples

Check our examples folder for:

Basic workflow packaging
Parameter configuration
API integration
Docker deployment

License

MIT License

Community

Issues & Feature Requests: GitHub Issues
Questions & Discussion: Discord Server

Detailed documentation: under development

README.md Unescape Escape

Comfy-Pack: Package and Deploy ComfyUI Workflows