from .imagefunc import * class Stroke: def __init__(self): pass @classmethod def INPUT_TYPES(self): chop_mode = ['normal','multply','screen','add','subtract','difference','darker','lighter'] return { "required": { "background_image": ("IMAGE", ), # "layer_image": ("IMAGE",), # "invert_mask": ("BOOLEAN", {"default": True}), # 反转mask "blend_mode": (chop_mode,), # 混合模式 "opacity": ("INT", {"default": 100, "min": 0, "max": 100, "step": 1}), # 透明度 "shrink": ("INT", {"default": 2, "min": 0, "max": 9999, "step": 1}), # 收缩值 "expansion": ("INT", {"default": 2, "min": 0, "max": 9999, "step": 1}), # 扩张值 "blur": ("INT", {"default": 0, "min": 0, "max": 100, "step": 1}), # 模糊 "stroke_color": ("STRING", {"default": "#FF0000"}), # 描边颜色 }, "optional": { "layer_mask": ("MASK",), # } } RETURN_TYPES = ("IMAGE",) RETURN_NAMES = ("image",) FUNCTION = 'stroke' CATEGORY = '😺dzNodes' OUTPUT_NODE = True def stroke(self, background_image, layer_image, invert_mask, blend_mode, opacity, shrink, expansion, blur, stroke_color, layer_mask=None, ): _canvas = tensor2pil(background_image).convert('RGB') _layer = tensor2pil(layer_image).convert('RGB') _mask = tensor2pil(layer_image).convert('RGBA').split()[-1] if layer_mask is not None: if invert_mask: layer_mask = 1 - layer_mask _mask = mask2image(layer_mask).convert('L') shink_mask = expand_mask(image2mask(_mask), -shrink, blur) expansion_mask = expand_mask(image2mask(_mask), expansion, blur) strock_mask = subtract_mask(expansion_mask, shink_mask) color_image = Image.new('RGB', size=_layer.size, color=stroke_color) blend_image = chop_image(_layer, color_image, blend_mode, opacity) _canvas.paste(_layer, mask=_mask) _canvas.paste(blend_image, mask=tensor2pil(strock_mask)) ret_image = _canvas return (pil2tensor(ret_image),) NODE_CLASS_MAPPINGS = { "LayerStyle_Stroke": Stroke } NODE_DISPLAY_NAME_MAPPINGS = { "LayerStyle_Stroke": "LayerStyle: Stroke" }