52 lines
1.4 KiB
Python
52 lines
1.4 KiB
Python
import torch
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from PIL import Image
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from .imagefunc import log, tensor2pil, pil2tensor, image_watercolor, chop_image
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class WaterColor:
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def __init__(self):
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self.NODE_NAME = 'WaterColor'
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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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"image": ("IMAGE", ),
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"line_density": ("INT", {"default": 50, "min": 1, "max": 100, "step": 1}), # 透明度
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"opacity": ("INT", {"default": 100, "min": 0, "max": 100, "step": 1}), # 透明度
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},
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"optional": {
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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 = 'water_color'
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CATEGORY = '😺dzNodes/LayerFilter'
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def water_color(self, image, line_density, opacity
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):
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ret_images = []
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for i in image:
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i = torch.unsqueeze(i, 0)
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_canvas = tensor2pil(i).convert('RGB')
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_image = image_watercolor(_canvas, level=101-line_density)
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ret_image = chop_image(_canvas, _image, 'normal', opacity)
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ret_images.append(pil2tensor(ret_image))
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log(f"{self.NODE_NAME} Processed {len(ret_images)} image(s).", message_type='finish')
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return (torch.cat(ret_images, dim=0),)
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NODE_CLASS_MAPPINGS = {
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"LayerFilter: WaterColor": WaterColor
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}
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NODE_DISPLAY_NAME_MAPPINGS = {
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"LayerFilter: WaterColor": "LayerFilter: WaterColor"
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} |