42 lines
1.1 KiB
Python
42 lines
1.1 KiB
Python
import torch
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class Sepia:
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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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"image": ("IMAGE",),
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"strength": ("FLOAT", {
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"default": 1.0,
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"min": 0.1,
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"max": 1.0,
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"step": 0.1
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}),
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},
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}
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RETURN_TYPES = ("IMAGE",)
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FUNCTION = "sepia"
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CATEGORY = "postprocessing/Color Adjustments"
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def sepia(self, image: torch.Tensor, strength: float):
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if strength == 0:
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return (image,)
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sepia_weights = torch.tensor([0.2989, 0.5870, 0.1140]).view(1, 1, 1, 3).to(image.device)
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sepia_filter = torch.tensor([1.0, 0.8, 0.6]).view(1, 1, 1, 3).to(image.device)
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grayscale = torch.sum(image * sepia_weights, dim=-1, keepdim=True)
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sepia = grayscale * sepia_filter
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result = sepia * strength + image * (1 - strength)
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return (result,)
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NODE_CLASS_MAPPINGS = {
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"Sepia": Sepia
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}
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