Initial commit: Image Aspect Size and Multi Switch nodes
- ImageAspectSize: reads input image dimensions and outputs width/height scaled to a target longest-side, snapped to multiples of 8, with a flip toggle for portrait/landscape rotation - MultiSwitch: any-type switch node with dynamic slot pairs (JS-driven add/remove), colour-coded active/inactive sides, and clean labelling
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@@ -0,0 +1,58 @@
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MAX_SLOTS = 6
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class AnyType(str):
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"""Compares equal to every type so ComfyUI accepts any connection."""
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def __ne__(self, other: object) -> bool:
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return False
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ANY = AnyType("*")
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class ContainsAnyDict(dict):
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"""An empty dict that reports containing any key.
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Empty → ComfyUI renders no input slots from the Python definition.
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__contains__ always True → any JS-added input name passes validation.
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dict subclass → JSON serialisable (serialises as {})."""
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def __contains__(self, key: object) -> bool:
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return True
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def __getitem__(self, key: str) -> tuple:
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return (ANY, {})
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class MultiSwitch:
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TITLE = "Multi Switch"
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CATEGORY = "JezzWTF/utils"
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@classmethod
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def INPUT_TYPES(cls):
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return {
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"required": {
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"switch": ("BOOLEAN", {
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"default": False,
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"label_on": "true",
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"label_off": "false",
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"tooltip": "Option A → false_N inputs pass through. Option B → true_N inputs pass through.",
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}),
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},
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"optional": ContainsAnyDict(),
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"hidden": {
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"num_slots": ("INT", {"default": 2}),
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},
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}
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@classmethod
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def VALIDATE_INPUTS(cls, input_types):
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return True
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RETURN_TYPES = (ANY,) * MAX_SLOTS
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RETURN_NAMES = tuple(f"output_{i}" for i in range(1, MAX_SLOTS + 1))
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FUNCTION = "execute"
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def execute(self, switch: bool, num_slots: int = 2, **kwargs) -> tuple:
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side = "true" if switch else "false"
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return tuple(kwargs.get(f"{side}_{i}", None) for i in range(1, MAX_SLOTS + 1))
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