Package Everything: Create reproducible .cpack.zip files containing your workflow, custom nodes, model versions, and all dependencies
Standardize Parameters: Define and validate workflow inputs through UI nodes for images, text, numbers and more
CLI Support: Restore environment and run inference from command line
REST API Generation: Auto-convert any workflow into REST service with OpenAPI docs

Quick Start

Installation

Search `comfy-pack` in ComfyUI Manager (Recommended)

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

Package ComfyUI workspace

Click "Package" button to create .cpack.zip
(Optional) select the models that you want to include (only model hash will be recorded)

Unpack ComfyUI project

# Restore a ComfyUI project from cpack files.
comfy-pack unpack workflow.cpack.zip --dir ./

Develop REST service

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 *

Parameter Nodes

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.

Docker Support

Under development

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