63 lines
1.8 KiB
Python
63 lines
1.8 KiB
Python
from .imagefunc import *
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class ImageOpacity:
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def __init__(self):
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pass
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@classmethod
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def INPUT_TYPES(self):
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return {
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"required": {
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"image": ("IMAGE", ), #
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"opacity": ("INT", {"default": 100, "min": 0, "max": 100, "step": 1}), # 透明度
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"invert_mask": ("BOOLEAN", {"default": True}), # 反转mask
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},
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"optional": {
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"mask": ("MASK",), #
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}
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}
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log('ImageOpacity Processing...')
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RETURN_TYPES = ("IMAGE", "MASK",)
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RETURN_NAMES = ("image", "mask",)
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FUNCTION = 'image_opacity'
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CATEGORY = '😺dzNodes'
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OUTPUT_NODE = True
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def image_opacity(self, image, opacity, invert_mask,
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mask=None,
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):
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_image = tensor2pil(image).convert('RGB')
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_mask = tensor2pil(image).convert('RGBA').split()[-1]
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if mask is not None:
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_mask = mask2image(mask).convert('L')
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if invert_mask:
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_color = Image.new("L", _image.size, color=(255))
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else:
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_color = Image.new("L", _image.size, color=(0))
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ret_mask = _mask
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if opacity == 0:
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ret_mask = _color
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elif opacity < 100:
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alpha = 1.0 - float(opacity) / 100
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ret_mask = Image.blend(_mask, _color, alpha)
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R, G, B, = _image.split()
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if invert_mask:
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ret_image = Image.merge('RGBA', (R, G, B, ImageChops.invert(ret_mask)))
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else:
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ret_image = Image.merge('RGBA', (R, G, B, ret_mask))
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return (pil2tensor(ret_image), image2mask(ret_mask),)
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NODE_CLASS_MAPPINGS = {
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"LayerStyle_ImageOpacity": ImageOpacity
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}
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NODE_DISPLAY_NAME_MAPPINGS = {
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"LayerStyle_ImageOpacity": "LayerStyle: ImageOpacity"
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} |