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Includes 30 custom nodes committed directly, 7 Civitai-exclusive loras stored via Git LFS, and a setup script that installs all dependencies and downloads HuggingFace-hosted models on vast.ai. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
42 lines
873 B
Python
42 lines
873 B
Python
import colorsys
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def hex_to_hsv(hex_color):
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hex_color = hex_color.lstrip('#')
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r, g, b = tuple(int(hex_color[i:i+2], 16) / 255.0 for i in (0, 2, 4))
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h, s, v = colorsys.rgb_to_hsv(r, g, b)
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hue = h * 360
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saturation = s
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value = v
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return hue, saturation, value
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class RGB_HexToHSV:
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@classmethod
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def INPUT_TYPES(s):
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return {"required": {
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"rgb_hex": ("STRING", {"defaultInput": True}),
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},
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}
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RETURN_TYPES = ("FLOAT", "FLOAT", "FLOAT")
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RETURN_NAMES = ("hue", "saturation", "value")
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FUNCTION = "doit"
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CATEGORY = "InspirePack/Util"
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def doit(self, rgb_hex):
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return hex_to_hsv(rgb_hex)
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NODE_CLASS_MAPPINGS = {
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"RGB_HexToHSV //Inspire": RGB_HexToHSV,
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}
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NODE_DISPLAY_NAME_MAPPINGS = {
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"RGB_HexToHSV //Inspire": "RGB Hex To HSV (Inspire)",
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}
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