76 lines
2.9 KiB
Python
76 lines
2.9 KiB
Python
from .imagefunc import *
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class Stroke:
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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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"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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"stroke_grow": ("INT", {"default": 0, "min": -999, "max": 999, "step": 1}), # 收缩值
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"stroke_width": ("INT", {"default": 8, "min": 0, "max": 999, "step": 1}), # 扩张值
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"blur": ("INT", {"default": 0, "min": 0, "max": 100, "step": 1}), # 模糊
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"stroke_color": ("STRING", {"default": "#FF0000"}), # 描边颜色
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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",)
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RETURN_NAMES = ("image",)
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FUNCTION = 'stroke'
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CATEGORY = '😺dzNodes/LayerStyle'
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OUTPUT_NODE = True
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def stroke(self, background_image, layer_image,
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invert_mask, blend_mode, opacity,
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stroke_grow, stroke_width, blur, stroke_color,
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layer_mask=None
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):
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# preprocess
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_canvas = tensor2pil(background_image).convert('RGB')
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_layer = tensor2pil(layer_image)
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if _layer.mode == 'RGBA':
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_mask = tensor2pil(layer_image).convert('RGBA').split()[-1]
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else:
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_mask = Image.new('L', _layer.size, 'white')
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_layer = _layer.convert('RGB')
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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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if _mask.size != _layer.size:
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_mask = Image.new('L', _layer.size, 'white')
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log('Warning: mask mismatch, droped!')
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grow_offset = int(stroke_width / 2)
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inner_stroke = stroke_grow - grow_offset
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outer_stroke = inner_stroke + stroke_width
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inner_mask = expand_mask(image2mask(_mask), inner_stroke, blur)
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outer_mask = expand_mask(image2mask(_mask), outer_stroke, blur)
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stroke_mask = subtract_mask(outer_mask, inner_mask)
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color_image = Image.new('RGB', size=_layer.size, color=stroke_color)
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blend_image = chop_image(_layer, color_image, blend_mode, opacity)
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_canvas.paste(_layer, mask=_mask)
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_canvas.paste(blend_image, mask=tensor2pil(stroke_mask))
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ret_image = _canvas
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log('Stroke Processed.')
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return (pil2tensor(ret_image),)
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NODE_CLASS_MAPPINGS = {
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"LayerStyle: Stroke": Stroke
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}
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NODE_DISPLAY_NAME_MAPPINGS = {
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"LayerStyle: Stroke": "LayerStyle: Stroke"
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} |