125 lines
5.9 KiB
Python
125 lines
5.9 KiB
Python
import torch
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import copy
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from PIL import Image
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from .imagefunc import log, tensor2pil, pil2tensor, image2mask, chop_image, AnyType
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from .imagefunc import create_gradient, create_box_gradient, gaussian_blur, gamma_trans, mask_area
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any = AnyType("*")
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class CreateGradientMask:
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def __init__(self):
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self.NODE_NAME = 'CreateGradientMask'
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@classmethod
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def INPUT_TYPES(self):
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side = ['bottom', 'top', 'left', 'right', 'center']
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return {
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"required": {
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"width": ("INT", {"default": 512, "min": 4, "max": 99999, "step": 1}),
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"height": ("INT", {"default": 512, "min": 4, "max": 99999, "step": 1}),
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"gradient_side": (side,),
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"gradient_scale": ("INT", {"default": 100, "min": 1, "max": 9999, "step": 1}),
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"gradient_offset": ("INT", {"default": 0, "min": -9999, "max": 9999, "step": 1}),
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"opacity": ("INT", {"default": 100, "min": 0, "max": 100, "step": 1}),
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},
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"optional": {
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"size_as": (any, {}),
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}
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}
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RETURN_TYPES = ("MASK",)
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RETURN_NAMES = ("mask",)
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FUNCTION = 'create_gradient_mask'
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CATEGORY = '😺dzNodes/LayerMask'
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def create_gradient_mask(self, width, height, gradient_side, gradient_scale, gradient_offset, opacity, size_as=None):
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if size_as is not None:
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if size_as.shape[0] > 0:
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_asimage = tensor2pil(size_as[0])
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else:
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_asimage = tensor2pil(size_as)
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width, height = _asimage.size
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_black = Image.new('L', size=(width, height), color='black')
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_white = Image.new('L', size=(width, height), color='white')
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_canvas = copy.deepcopy(_black)
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debug_image1 = copy.deepcopy(_black).convert('RGB')
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debug_image2 = copy.deepcopy(_black).convert('RGB')
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start_color = '#FFFFFF'
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end_color = '#000000'
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if gradient_side == 'bottom':
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_gradient = create_gradient(start_color, end_color, width, height, direction='bottom')
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if gradient_scale != 100:
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_gradient = _gradient.resize((width, int(height * gradient_scale / 100)))
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_canvas.paste(_gradient.convert('L'), box=(0, gradient_offset))
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if gradient_offset > height:
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_canvas = _white
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elif gradient_offset > 0:
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_canvas.paste(_white, box=(0, gradient_offset - height))
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elif gradient_side == 'top':
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_gradient = create_gradient(start_color, end_color, width, height, direction='top')
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if gradient_scale != 100:
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_gradient = _gradient.resize((width, int(height * gradient_scale / 100)))
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_canvas.paste(_gradient.convert('L'), box=(0, height - int(height * gradient_scale / 100) + gradient_offset))
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if gradient_offset < -height:
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_canvas = _white
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elif gradient_offset < 0:
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_canvas.paste(_white, box=(0, height + gradient_offset))
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elif gradient_side == 'left':
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_gradient = create_gradient(start_color, end_color, width, height, direction='left')
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if gradient_scale != 100:
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_gradient = _gradient.resize((int(width * gradient_scale / 100), height))
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_canvas.paste(_gradient.convert('L'), box=(width - int(width * gradient_scale / 100) + gradient_offset, 0))
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if gradient_offset < -width:
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_canvas = _white
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elif gradient_offset < 0:
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_canvas.paste(_white, box=(width + gradient_offset, 0))
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elif gradient_side == 'right':
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_gradient = create_gradient(start_color, end_color, width, height, direction='right')
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if gradient_scale != 100:
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_gradient = _gradient.resize((int(width * gradient_scale / 100), height))
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_canvas.paste(_gradient.convert('L'), box=(gradient_offset, 0))
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if gradient_offset > width:
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_canvas = _white
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elif gradient_offset > 0:
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_canvas.paste(_white, box=(gradient_offset - width, 0))
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else:
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_gradient = create_box_gradient(start_color_inhex='#000000', end_color_inhex='#FFFFFF',
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width=width, height=height, scale=int(gradient_scale))
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_gradient = _gradient.convert('L')
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debug_image1 = _gradient
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_blur_mask = Image.new('L', size=(width*2, height*2), color='black')
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_blur_mask.paste(_gradient, box=(int(width/2), int(height/2)))
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_blur_mask = gaussian_blur(_blur_mask, int((width + height) * gradient_scale / 100 / 16))
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_gamma_mask = gamma_trans(_blur_mask, 0.15)
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(crop_x, crop_y, crop_width, crop_height) = mask_area(_gamma_mask)
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crop_box = (crop_x, crop_y, crop_x + crop_width, crop_y + crop_height)
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_blur_mask = _blur_mask.crop(crop_box)
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_blur_mask = _blur_mask.resize((width, height), Image.BILINEAR)
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if gradient_offset != 0:
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resize_width = int(width - gradient_offset)
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resize_height = int(height - gradient_offset)
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if resize_width < 1:
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resize_width = 1
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if resize_height < 1:
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resize_height = 1
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_blur_mask = _blur_mask.resize((resize_width, resize_height), Image.BILINEAR)
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paste_box = (int((width - resize_width) / 2), int((height - resize_height) / 2))
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else:
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paste_box = (0,0)
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_canvas.paste(_blur_mask, box=paste_box)
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# opacity
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if opacity < 100:
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_canvas = chop_image(_black, _canvas, 'normal', opacity)
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log(f"{self.NODE_NAME} Processed.", message_type='finish')
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return (image2mask(_canvas),)
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NODE_CLASS_MAPPINGS = {
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"LayerMask: CreateGradientMask": CreateGradientMask
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}
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NODE_DISPLAY_NAME_MAPPINGS = {
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"LayerMask: CreateGradientMask": "LayerMask: CreateGradientMask"
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} |