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jtydhr88/comfyui-custom-node-skills121 installs

comfyui-node-basics

ComfyUI custom node fundamentals - V3 node structure, Schema, inputs/outputs, registration. Use when creating new ComfyUI custom nodes, defining node classes, or setting up a custom node project.

How do I install this agent skill?

npx skills add https://github.com/jtydhr88/comfyui-custom-node-skills --skill comfyui-node-basics
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Is this agent skill safe to install?

  • Gen Agent Trust Hubpass

    This skill provides technical documentation and boilerplate templates for developing ComfyUI custom nodes using the V3 API. It contains standard Python code for image processing and UI registration with no malicious behavior, external dependencies, or security risks detected.

  • Socketpass

    No alerts

  • Snykpass

    Risk: LOW · No issues

  • Runlayerpass

    1 file scanned · No issues

What does this agent skill do?

ComfyUI Custom Node Basics (V3 API)

ComfyUI uses Python classes to define nodes. The V3 API is the current recommended approach. Nodes inherit from io.ComfyNode and define a schema + execute method.

Quick Start

from comfy_api.latest import ComfyExtension, io

class MyNode(io.ComfyNode):
    @classmethod
    def define_schema(cls):
        return io.Schema(
            node_id="MyNode",
            display_name="My Custom Node",
            category="my_category",
            inputs=[
                io.Image.Input("image"),
                io.Float.Input("strength", default=1.0, min=0.0, max=1.0, step=0.01),
            ],
            outputs=[
                io.Image.Output("IMAGE"),
            ],
        )

    @classmethod
    def execute(cls, image, strength):
        result = image * strength
        return io.NodeOutput(result)

V3 Node Class Structure

Every V3 node requires:

  1. Inherit from io.ComfyNode
  2. define_schema(cls) - classmethod returning io.Schema
  3. execute(cls, ...) - classmethod performing the computation
from typing_extensions import override
from comfy_api.latest import ComfyExtension, io

class ImageBrighten(io.ComfyNode):
    @classmethod
    def define_schema(cls):
        return io.Schema(
            node_id="ImageBrighten",          # unique identifier
            display_name="Brighten Image",     # shown in UI
            category="image/adjust",           # menu path
            description="Adjusts image brightness",
            inputs=[
                io.Image.Input("image"),
                io.Float.Input("factor", default=1.2, min=0.0, max=3.0, step=0.1),
            ],
            outputs=[
                io.Image.Output("IMAGE"),
            ],
        )

    @classmethod
    def execute(cls, image, factor):
        result = torch.clamp(image * factor, 0.0, 1.0)
        return io.NodeOutput(result)

io.Schema Fields

io.Schema(
    node_id="UniqueNodeID",            # required: unique string ID
    display_name="Display Name",        # optional: shown in UI menus
    category="category/subcategory",    # menu hierarchy (default "sd")
    description="Node description",     # optional: tooltip text
    inputs=[...],                       # list of Input objects
    outputs=[...],                      # list of Output objects
    hidden=[...],                       # list of Hidden enum values
    is_output_node=False,               # True for nodes with side effects (save, preview)
    is_experimental=False,              # marks as experimental
    is_deprecated=False,                # marks as deprecated
    is_dev_only=False,                  # hidden unless dev mode enabled
    is_api_node=False,                  # marks as API-only node
    is_input_list=False,                # receive full lists instead of individual items
    not_idempotent=False,               # prevents caching
    accept_all_inputs=False,            # accept arbitrary inputs via **kwargs
    enable_expand=False,                # allow node expansion (subgraphs)
    search_aliases=["alias1", "alias2"],# alternative search terms
    essentials_category="Basic",        # optional: Essentials tab category
    price_badge=None,                   # optional: PriceBadge for API nodes
    has_intermediate_output=False,      # True for nodes with interactive UI that produce intermediate outputs
)

V3 Node Registration

V3 nodes are registered via ComfyExtension and comfy_entrypoint():

from typing_extensions import override
from comfy_api.latest import ComfyExtension, io

class MyNode(io.ComfyNode):
    @classmethod
    def define_schema(cls):
        return io.Schema(
            node_id="MyNode",
            display_name="My Node",
            category="my_nodes",
            inputs=[io.String.Input("text", multiline=True)],
            outputs=[io.String.Output()],
        )

    @classmethod
    def execute(cls, text):
        return io.NodeOutput(text.upper())


class MyExtension(ComfyExtension):
    @override
    async def get_node_list(self) -> list[type[io.ComfyNode]]:
        return [MyNode]


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

The comfy_entrypoint() function must be defined at the module level (in the file directly imported by ComfyUI).

V1 Node Structure (Legacy Reference)

V1 nodes use class attributes and NODE_CLASS_MAPPINGS:

class MyNodeV1:
    CATEGORY = "my_category"
    FUNCTION = "execute"
    RETURN_TYPES = ("IMAGE",)
    RETURN_NAMES = ("image",)

    @classmethod
    def INPUT_TYPES(s):
        return {
            "required": {
                "image": ("IMAGE",),
                "strength": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0}),
            }
        }

    def execute(self, image, strength):
        return (image * strength,)

NODE_CLASS_MAPPINGS = {"MyNodeV1": MyNodeV1}
NODE_DISPLAY_NAME_MAPPINGS = {"MyNodeV1": "My Node V1"}

Key Differences: V3 vs V1

AspectV3V1
Base classio.ComfyNodePlain class
Execute methodexecute classmethod (fixed name)Instance method (custom name via FUNCTION)
Inputsio.Schema(inputs=[...])INPUT_TYPES() dict
Outputsio.Schema(outputs=[...])RETURN_TYPES tuple
Return valueio.NodeOutput(...)Plain tuple
RegistrationComfyExtension + comfy_entrypoint()NODE_CLASS_MAPPINGS dict
StateNo instance state (classmethods)Instance state allowed
Hidden inputscls.hidden.prompt, etc.kwargs from "hidden" dict

Important Rules

  • node_id must be globally unique across all nodes
  • execute() parameters must match input IDs exactly
  • All methods are @classmethod in V3 (no instance state)
  • Return io.NodeOutput(val1, val2, ...) matching output count
  • Category uses / separator for hierarchy: "image/transform"
  • Prefix category with _ to hide from menus: "_for_testing"

See Also

  • comfyui-node-datatypes - Data types (IMAGE, LATENT, MASK, etc.)
  • comfyui-node-inputs - Input configuration details
  • comfyui-node-outputs - Output types and UI outputs
  • comfyui-node-packaging - Project structure and packaging
  • comfyui-node-lifecycle - Execution lifecycle and caching

Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.

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