79 lines
3.2 KiB
Python
79 lines
3.2 KiB
Python
from .imagefunc import *
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class GradientOverlay:
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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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"start_color": ("STRING", {"default": "#FFBF30"}), # 渐变开始颜色
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"start_alpha": ("INT", {"default": 255, "min": 0, "max": 255, "step": 1}),
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"end_color": ("STRING", {"default": "#FE0000"}), # 渐变结束颜色
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"end_alpha": ("INT", {"default": 255, "min": 0, "max": 255, "step": 1}),
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"angle": ("INT", {"default": 0, "min": -180, "max": 180, "step": 1}), # 渐变角度
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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 = 'gradient_overlay'
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CATEGORY = '😺dzNodes/LayerStyle'
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OUTPUT_NODE = True
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def gradient_overlay(self, background_image, layer_image,
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invert_mask, blend_mode, opacity,
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start_color, start_alpha, end_color, end_alpha, angle,
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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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_gradient = gradient(start_color, end_color, _layer.width, _layer.height, float(angle))
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# 合成layer
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_comp = chop_image(_layer, _gradient, blend_mode, opacity)
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if start_alpha < 255 or end_alpha < 255:
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#
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start_color = RGB_to_Hex((start_alpha, start_alpha, start_alpha))
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end_color = RGB_to_Hex((end_alpha, end_alpha, end_alpha))
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comp_alpha = gradint(start_color, end_color, _layer.width, _layer.height, float(angle))
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comp_alpha = ImageChops.invert(comp_alpha).convert('L')
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_comp.paste(_layer, comp_alpha)
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_canvas.paste(_comp, mask=_mask)
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ret_image = _canvas
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log('GradientOverlay Processed.')
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return (pil2tensor(ret_image),)
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NODE_CLASS_MAPPINGS = {
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"LayerStyle: GradientOverlay": GradientOverlay
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}
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NODE_DISPLAY_NAME_MAPPINGS = {
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"LayerStyle: GradientOverlay": "LayerStyle: GradientOverlay"
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} |