86 lines
2.3 KiB
Python
86 lines
2.3 KiB
Python
import torch
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from .imagefunc import log, tensor2pil, pil2tensor, gaussian_blur
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class GaussianBlur:
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def __init__(self):
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self.NODE_NAME = 'GaussianBlur'
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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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"blur": ("INT", {"default": 20, "min": 1, "max": 999, "step": 1}), # 模糊
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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 = 'gaussian_blur'
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CATEGORY = '😺dzNodes/LayerFilter'
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def gaussian_blur(self, image, blur):
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ret_images = []
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for i in image:
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_canvas = tensor2pil(torch.unsqueeze(i, 0)).convert('RGB')
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ret_images.append(pil2tensor(gaussian_blur(_canvas, blur)))
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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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class LS_GaussianBlurV2:
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def __init__(self):
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self.NODE_NAME = 'GaussianBlurV2'
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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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"blur": ("FLOAT", {"default": 20, "min": 0, "max": 1000, "step": 0.05}), # 模糊
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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 = 'gaussian_blur_v2'
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CATEGORY = '😺dzNodes/LayerFilter'
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def gaussian_blur_v2(self, image, blur):
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ret_images = []
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if blur:
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for i in image:
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_canvas = tensor2pil(torch.unsqueeze(i, 0)).convert('RGB')
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ret_images.append(pil2tensor(gaussian_blur(_canvas, blur)))
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else:
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return (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: GaussianBlur": GaussianBlur,
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"LayerFilter: GaussianBlurV2": LS_GaussianBlurV2
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}
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NODE_DISPLAY_NAME_MAPPINGS = {
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"LayerFilter: GaussianBlur": "LayerFilter: GaussianBlur",
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"LayerFilter: GaussianBlurV2": "LayerFilter: Gaussian Blur V2"
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} |