60 lines
1.6 KiB
Markdown
60 lines
1.6 KiB
Markdown
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# Documentation
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- Class name: ImageEffectsSepia
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- Category: image/effects
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- Output node: False
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ImageEffectsSepia节点用于给图像应用复古棕褐色调效果，将图像的色彩方案转换为模仿19世纪末20世纪初老照片的外观。这种效果通过调整输入图像的RGB值来实现，创造出一种温暖的褐色调，唤起怀旧和永恒的感觉。
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# Input types
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## Required
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- images
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- images参数代表将要应用复古棕褐色调效果的输入图像。它对于定义将要进行转换的视觉内容至关重要，直接影响节点的执行过程和输出图像的外观。
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- Comfy dtype: IMAGE
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- Python dtype: torch.Tensor
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# Output types
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- image
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- 输出是经过复古棕褐色调处理的输入图像的修改版本，呈现出怀旧和永恒的外观。
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- Comfy dtype: IMAGE
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- Python dtype: torch.Tensor
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## Usage tips
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- Infra type: `GPU`
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- Common nodes: unknown
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## Source code
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```python
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class ImageEffectsSepia:
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def __init__(self):
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pass
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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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"images": ("IMAGE",),
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},
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}
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RETURN_TYPES = ("IMAGE",)
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FUNCTION = "node"
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CATEGORY = "image/effects"
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def node(self, images):
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tensor = images.clone().detach()
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sepia_mask = torch.tensor([[0.393, 0.349, 0.272],
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[0.769, 0.686, 0.534],
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[0.189, 0.168, 0.131]])
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tensor[:, :, :, 0:3] = torch.stack([
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torch.matmul(tensor[i, :, :, 0:3], sepia_mask) for i in range(len(tensor))
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])
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return (tensor,)
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```
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