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

```python
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
)

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

Aspect	V3	V1
Base class	`io.ComfyNode`	Plain class
Execute method	`execute` classmethod (fixed name)	Instance method (custom name via `FUNCTION`)
Inputs	`io.Schema(inputs=[...])`	`INPUT_TYPES()` dict
Outputs	`io.Schema(outputs=[...])`	`RETURN_TYPES` tuple
Return value	`io.NodeOutput(...)`	Plain tuple
Registration	`ComfyExtension` + `comfy_entrypoint()`	`NODE_CLASS_MAPPINGS` dict
State	No instance state (classmethods)	Instance state allowed
Hidden inputs	`cls.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"

io.Schema Fields

V3 Node Registration

V1 Node Structure (Legacy Reference)

Key Differences: V3 vs V1

Important Rules

See Also

comfyui-node-basics

ComfyUI Custom Node Basics (V3 API)

Quick Start