38 lines
1005 B
Python
38 lines
1005 B
Python
import torch
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class Dissolve:
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def __init__(self):
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pass
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@classmethod
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def INPUT_TYPES(s):
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return {
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"required": {
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"image1": ("IMAGE",),
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"image2": ("IMAGE",),
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"dissolve_factor": ("FLOAT", {
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"default": 0.5,
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"min": 0.0,
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"max": 1.0,
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"step": 0.01
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}),
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},
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}
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RETURN_TYPES = ("IMAGE",)
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FUNCTION = "dissolve_images"
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CATEGORY = "postprocessing"
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def dissolve_images(self, image1: torch.Tensor, image2: torch.Tensor, dissolve_factor: float):
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dither_pattern = torch.rand_like(image1)
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mask = (dither_pattern < dissolve_factor).float()
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dissolved_image = image1 * mask + image2 * (1 - mask)
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dissolved_image = torch.clamp(dissolved_image, 0, 1)
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return (dissolved_image,)
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NODE_CLASS_MAPPINGS = {
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"Dissolve": Dissolve,
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}
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