comfyui-node-packaging

ComfyUI Custom Node Packaging

How to structure, register, and publish a custom node package.

Project Structure

ComfyUI/custom_nodes/
  my_custom_nodes/
    __init__.py            # Entry point (required)
    nodes.py               # Node class definitions
    requirements.txt       # Python dependencies
    pyproject.toml         # Package metadata
    README.md              # Documentation
    js/                    # Frontend extensions (optional)
    │   └── my_extension.js
    docs/                  # Help pages (optional)
    │   └── MyNode.md
    locales/               # i18n translations (optional)
        └── zh/
            └── main.json

Entry Point: init.py

V3 Registration (Recommended)

# __init__.py
from typing_extensions import override
from comfy_api.latest import ComfyExtension, io

from .nodes import MyNode1, MyNode2, MyNode3

WEB_DIRECTORY = "./js"  # optional: frontend JS extensions

class MyNodesExtension(ComfyExtension):
    @override
    async def get_node_list(self) -> list[type[io.ComfyNode]]:
        return [MyNode1, MyNode2, MyNode3]

    @override
    async def on_load(self):
        # Optional: run initialization logic when extension loads
        pass

async def comfy_entrypoint() -> MyNodesExtension:
    return MyNodesExtension()

V1 Registration (Legacy)

# __init__.py
from .nodes import MyNode1, MyNode2

NODE_CLASS_MAPPINGS = {
    "MyNode1": MyNode1,
    "MyNode2": MyNode2,
}

NODE_DISPLAY_NAME_MAPPINGS = {
    "MyNode1": "My Node 1",
    "MyNode2": "My Node 2",
}

WEB_DIRECTORY = "./js"

__all__ = ["NODE_CLASS_MAPPINGS", "NODE_DISPLAY_NAME_MAPPINGS", "WEB_DIRECTORY"]

Node Definitions File

# nodes.py
import torch
from comfy_api.latest import io

class MyNode1(io.ComfyNode):
    @classmethod
    def define_schema(cls):
        return io.Schema(
            node_id="MyNode1_UniqueID",   # globally unique
            display_name="My Node 1",
            category="my_nodes",
            description="Does something useful",
            inputs=[
                io.Image.Input("image"),
                io.Float.Input("value", default=1.0, min=0.0, max=10.0),
            ],
            outputs=[io.Image.Output("IMAGE")],
        )

    @classmethod
    def execute(cls, image, value):
        return io.NodeOutput(image * value)