72 lines
2.5 KiB
Python
72 lines
2.5 KiB
Python
from .imagefunc import *
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class OuterGlow:
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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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chop_mode = ['normal','multply','screen','add','subtract','difference','darker','lighter']
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return {
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"required": {
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"background_image": ("IMAGE", ), #
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"layer_image": ("IMAGE",), #
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"invert_mask": ("BOOLEAN", {"default": True}), # 反转mask
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"blend_mode": (chop_mode,), # 混合模式
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"opacity": ("INT", {"default": 100, "min": 0, "max": 100, "step": 1}), # 透明度
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"grow": ("INT", {"default": 16, "min": -9999, "max": 9999, "step": 1}), # 扩张
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"blur": ("INT", {"default": 20, "min": 0, "max": 100, "step": 1}), # 模糊
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"glow_color": ("STRING", {"default": "#FFFFFF"}), # 背景颜色
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},
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"optional": {
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"layer_mask": ("MASK",), #
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}
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}
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# RETURN_TYPES = ("IMAGE", "MASK",)
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# RETURN_NAMES = ("image", "glow_mask",)
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RETURN_TYPES = ("IMAGE",)
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RETURN_NAMES = ("image",)
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FUNCTION = 'outer_glow'
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CATEGORY = '😺dzNodes'
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OUTPUT_NODE = True
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def outer_glow(self, background_image, layer_image,
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invert_mask, blend_mode, opacity,
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grow, blur, glow_color,
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layer_mask=None,
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):
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_canvas = tensor2pil(background_image).convert('RGB')
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_layer = tensor2pil(layer_image).convert('RGB')
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_mask = tensor2pil(layer_image).convert('RGBA').split()[-1]
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# 处理mask
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if layer_mask is not None:
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if invert_mask:
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layer_mask = 1 - layer_mask
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_mask = mask2image(layer_mask).convert('L')
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glow_mask = expand_mask(image2mask(_mask), grow, blur, 0) #扩张，模糊
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# 合成glow
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glow_color = Image.new("RGB", _layer.size, color=glow_color)
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alpha = tensor2pil(glow_mask).convert('L')
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_glow = chop_image(tensor2pil(background_image), glow_color, blend_mode, opacity)
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_canvas.paste(_glow, mask=alpha)
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# 合成layer
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_canvas.paste(_layer, mask=_mask)
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ret_image = _canvas
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# ret_mask = glow_mask
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# return (pil2tensor(ret_image), ret_mask,)
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return (pil2tensor(ret_image),)
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NODE_CLASS_MAPPINGS = {
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"LayerStyle_OuterGlow": OuterGlow
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}
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NODE_DISPLAY_NAME_MAPPINGS = {
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"LayerStyle_OuterGlow": "LayerStyle: OuterGlow"
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} |