comfyui-node-registry

Authoring & Publishing ComfyUI Custom Nodes

This skill covers writing a ComfyUI custom node pack and publishing it to the Comfy Registry (registry.comfy.org), the public catalog that powers ComfyUI-Manager. For using existing nodes in workflows, see the comfyui-core skill instead.

Minimal Node Pack Structure

A node pack is a Python package placed under ComfyUI/custom_nodes/<name>/. The package __init__.py must export NODE_CLASS_MAPPINGS and NODE_DISPLAY_NAME_MAPPINGS; WEB_DIRECTORY is optional (only if the pack ships frontend JS).

ComfyUI/custom_nodes/my-node-pack/
├── __init__.py          # exports the mappings ComfyUI scans for
├── nodes.py             # node class definitions
├── pyproject.toml       # registry metadata (required to publish)
├── requirements.txt     # optional Python deps
├── .comfyignore         # optional — exclude files from the published archive
├── LICENSE
├── README.md
└── web/js/              # optional frontend extension (see WEB_DIRECTORY)

__init__.py

from .nodes import NODE_CLASS_MAPPINGS, NODE_DISPLAY_NAME_MAPPINGS

# Optional: serve frontend JS/CSS from this folder (path relative to __init__.py)
WEB_DIRECTORY = "./web/js"

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

A minimal node class (nodes.py)

class ImageSelector:
    CATEGORY = "example"          # menu path where the node appears

    @classmethod
    def INPUT_TYPES(cls):
        return {
            "required": {
                "images": ("IMAGE",),
                "mode": (["brightest", "reddest", "greenest", "bluest"],),
            },
            "optional": {
                "threshold": ("FLOAT", {"default": 0.5, "min": 0.0, "max": 1.0, "step": 0.01}),
                "count": ("INT", {"default": 1, "min": 1, "max": 64}),
                "label": ("STRING", {"default": "", "multiline": False}),
            },
        }

    RETURN_TYPES = ("IMAGE",)        # tuple of output data types
    RETURN_NAMES = ("image",)        # optional friendly output names
    FUNCTION = "choose_image"        # name of the method ComfyUI calls
    OUTPUT_NODE = False              # True for terminal nodes (e.g. SaveImage)

    def choose_image(self, images, mode, threshold=0.5, count=1, label=""):
        import torch
        brightness = [torch.mean(img.flatten()).item() for img in images]
        best = brightness.index(max(brightness))
        return (images[best].unsqueeze(0),)   # MUST return a tuple


NODE_CLASS_MAPPINGS = {
    "ImageSelector": ImageSelector,        # globally unique class_type key
}

NODE_DISPLAY_NAME_MAPPINGS = {
    "ImageSelector": "Image Selector",     # label shown in the UI
}