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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>
27 lines
658 B
Python
27 lines
658 B
Python
@staticmethod
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def easyIn(t: float)-> float:
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return t*t
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@staticmethod
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def easyOut(t: float)-> float:
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return -(t * (t - 2))
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@staticmethod
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def easyInOut(t: float)-> float:
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if t < 0.5:
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return 2*t*t
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else:
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return (-2*t*t) + (4*t) - 1
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class EasingBase:
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def easing(self, t: float, function='linear') -> float:
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if function == 'easyIn':
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return easyIn(t)
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elif function == 'easyOut':
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return easyOut(t)
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elif function == 'easyInOut':
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return easyInOut(t)
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else:
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return t
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def ease(self, start, end, t) -> float:
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return end * t + start * (1 - t) |