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/comfyui-node-inputs

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.

From plugin
comfyui-custom-node-skills
3129 skills

Claude Code

$ npx -y skills add jtydhr88/comfyui-custom-node-skills --skill comfyui-node-inputs --agent claude-code

SKILL.md

comfyui-node-inputs.SKILL.md
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.

ComfyUI Node Inputs

Inputs define what data a node accepts. Widget inputs create UI controls; connection inputs create socket slots.

Widget Input Types

INT

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`. A mode value is treated as the control's *starting mode* only from frontend v1.57.0 (#19867); older frontends used the string as the control widget's name.

FLOAT

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",
)

STRING

# 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
)

BOOLEAN

io.Boolean.Input("enabled",
    default=True,
    label_on="Enabled",
    label_off="Disabled",
    tooltip="Toggle this feature",
)

COMBO (Dropdown)

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
    ),
)

**Security**: treat combo / `DynamicCombo` values as untrusted when they reach the filesystem. Re-validate any value used as a file/folder name, path, format or extension at the load/save boundary (`folder_paths.get_full_path_or_raise(...)`, `folder_paths.is_within_directory(base, path)`, or a fixed allowlist) — prompts can be submitted via the API with values outside `options`.

MULTICOMBO (Multi-select Dropdown)

io.MultiCombo.Input("tags",
    options=["tag1", "tag2", "tag3", "tag4"],
    default=["tag1"],
    placeholder="Select tags...",
    chip=True,  # display as chips
)
# Value type: list[str]

COLOR (Color Picker)

io.Color.Input("color",
    default="#ffffff",
    socketless=True,  # widget only by default
)
# Value type: str (hex color)

COLORS (Color Palette)

io.Colors.Input("palette",
    default=["#ff0000", "#00ff00"],
    socketless=True,
)
# Value type: list[str] (hex colors)

BOUNDING_BOX (Rectangle Selector)

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}

BOUNDING_BOXES (Multiple Regions)

io.BoundingBoxes.Input("regions",
    default=[],
    socketless=True,
)
# Value type: list of {"x": int, "y": int, "width": int, "height": int, "metadata": dict}

CURVE (Spline Editor)

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)

RANGE (Levels/Range Editor)

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()

WEBCAM (Camera Capture)

io.Webcam.Input("capture")
# Value type: str

IMAGECOMPARE (Comparison Widget)

io.ImageCompare.Input("comparison", socketless=True)
# Value type: dict

Newer editor widgets (v0.31–v0.40, need a matching frontend)

io.VideoEdit.Input("trim", features=["trim"])   # "trim" and/or "crop" (default both)
# Value: {"trim": {"start_time": float, "duration": float}, "crop": {"x","y","width","height"}}
#   apply with video.as_trimmed(...) / video.as_cropped(...); zero width/height = full frame
io.ResolutionPreview.Input("preview",            # live preview of a computed size; optional by default
    ratio_
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@jtydhr88
Ships withcomfyui-custom-node-skills

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.

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comfyui-node-inputs installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.