comfyui-node-advanced
ComfyUI advanced node patterns - MatchType, Autogrow, DynamicCombo, node expansion, MultiType, wildcard inputs. Use when building complex nodes with dynamic…
ComfyUI node input types - INT, FLOAT, STRING, BOOLEAN, COMBO widgets, hidden inputs, optional inputs, lazy inputs, force_input. Use when configuring node inputs, adding widgets, or customizing input behavior.
$ npx -y skills add jtydhr88/comfyui-custom-node-skills --skill comfyui-node-inputs --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/comfyui-node-inputsContext preview
The summary Claude sees to decide when to auto-load this skill.
ComfyUI node input types - INT, FLOAT, STRING, BOOLEAN, COMBO widgets, hidden inputs, optional inputs, lazy inputs, force_input. Use when configuring node inputs, adding widgets, or customizing input behavior.
name: comfyui-node-inputs description: ComfyUI node input types - INT, FLOAT, STRING, BOOLEAN, COMBO widgets, hidden inputs, optional inputs, lazy inputs, force_input. Use when configuring node inputs, adding widgets, or customizing input behavior.
Inputs define what data a node accepts. Widget inputs create UI controls; connection inputs create socket slots.
io.Int.Input("seed",
default=0,
min=0,
max=0xffffffffffffffff,
step=1,
control_after_generate=True, # adds increment/decrement/randomize control
display_mode=io.NumberDisplay.number, # "number", "slider", or "gradient_slider"
tooltip="Random seed for generation",
)**NumberDisplay options**: `io.NumberDisplay.number`, `io.NumberDisplay.slider`, `io.NumberDisplay.gradient_slider`
**ControlAfterGenerate options**: `True` (default randomize), or `io.ControlAfterGenerate.fixed`, `.increment`, `.decrement`, `.randomize`
io.Float.Input("strength",
default=1.0,
min=0.0,
max=10.0,
step=0.01,
round=0.001, # rounding precision
display_mode=io.NumberDisplay.slider,
gradient_stops=[{"offset": 0.0, "color": [0, 0, 0]}, {"offset": 1.0, "color": [255, 255, 255]}], # for gradient_slider mode
tooltip="Effect strength",
)# Single-line string
io.String.Input("name",
default="",
placeholder="Enter name...",
)
# Multi-line text area
io.String.Input("prompt",
multiline=True,
default="",
placeholder="Enter prompt...",
dynamic_prompts=True, # enable dynamic prompt syntax
)io.Boolean.Input("enabled",
default=True,
label_on="Enabled",
label_off="Disabled",
tooltip="Toggle this feature",
)io.Combo.Input("mode",
options=["option_a", "option_b", "option_c"],
default="option_a",
tooltip="Select processing mode",
control_after_generate=True, # adds increment/decrement/randomize control
)**Combo with Enum**:
from enum import Enum
class BlendMode(Enum):
NORMAL = "normal"
MULTIPLY = "multiply"
SCREEN = "screen"
io.Combo.Input("blend", options=BlendMode, default=BlendMode.NORMAL)
# Enum values auto-converted to string list**Combo with file upload**:
io.Combo.Input("image_file",
options=[],
upload=io.UploadType.image, # .image, .audio, .video, .model (for generic file upload)
image_folder=io.FolderType.input, # .input, .output, .temp
)**Dynamic combo with remote options**:
io.Combo.Input("model_name",
options=[],
remote=io.RemoteOptions(
route="/internal/models/checkpoints",
refresh_button=True,
control_after_refresh="first", # "first" or "last"
timeout=5000, # ms
max_retries=3,
refresh=60000, # TTL refresh interval in ms
),
)io.MultiCombo.Input("tags",
options=["tag1", "tag2", "tag3", "tag4"],
default=["tag1"],
placeholder="Select tags...",
chip=True, # display as chips
)
# Value type: list[str]io.Color.Input("color",
default="#ffffff",
socketless=True, # widget only by default
)
# Value type: str (hex color)io.Colors.Input("palette",
default=["#ff0000", "#00ff00"],
socketless=True,
)
# Value type: list[str] (hex colors)io.BoundingBox.Input("region",
default={"x": 0, "y": 0, "width": 512, "height": 512},
socketless=True,
component="my_component", # optional custom UI component name
force_input=False,
)
# Value type: {"x": int, "y": int, "width": int, "height": int}io.BoundingBoxes.Input("regions",
default=[],
socketless=True,
)
# Value type: list of {"x": int, "y": int, "width": int, "height": int, "metadata": dict}io.Curve.Input("curve",
default=[(0.0, 0.0), (1.0, 1.0)], # linear ramp
socketless=True,
)
# Value type: raw curve data; normalize with CurveInput.from_raw(value)
# (from comfy_api.input import CurveInput)io.Range.Input("levels",
default={"min": 0.0, "max": 1.0},
gradient_stops=None, # gradient background for the slider
show_midpoint=True, # gamma midpoint handle
value_min=0.0,
value_max=1.0,
)
# Value type: raw dict; normalize with RangeInput.from_raw(value)
# (from comfy_api.input import RangeInput) -> .min_val, .max_val, .midpoint, .to_lut()io.Webcam.Input("capture")
# Value type: strio.ImageCompare.Input("comparison", socketless=True)
# Value type: dictio.Image.Input("image",
optional=True, # not required; creates optional input socket
tooltip="Description shown on hover",
lazy=True, # lazy evaluation - only computed when needed
advanced=True, # hidden by default in compact mode
raw_link=True, # receive raw link reference instead of value
)Forces a widget input to appear as a connection socket instead of a widget:
io.Float.Input("value",
default=1.0,
force_input=True, # shows as socket, not slider
)Makes a widget input appear only as a widget with no input socket:
io.String.Input("note",
default="",
socketless=True, # widget only, no connection socket
)class MyNode(io.ComfyNode):
@classmethod
def define_schema(cls):
return io.Schema(
node_id="MyNode",
display_name="My Node",A curated collection of agent skills (for Claude Code and OpenAI Codex) for developing ComfyUI custom nodes. These skills give the agent comprehensive knowledge of the ComfyUI node system, covering both the V3 (recommended) and V1 (legacy) APIs.
Repo: jtydhr88/comfyui-custom-node-skills
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