50 lines
1.3 KiB
Python
50 lines
1.3 KiB
Python
# load_remove_alpha.py
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import torch
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import os
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from PIL import Image
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import numpy as np
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class LoadImageRemoveAlpha:
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def __init__(self):
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pass
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@classmethod
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def INPUT_TYPES(cls):
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return {
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"required": {
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"image": ("STRING", {"default": ""}),
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},
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}
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RETURN_TYPES = ("IMAGE",)
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FUNCTION = "load_and_remove_alpha"
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CATEGORY = "image/loaders"
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TITLE = "Load Image (Remove Alpha)"
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def load_and_remove_alpha(self, image):
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if not os.path.exists(image):
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raise FileNotFoundError(f"Image not found: {image}")
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i = Image.open(image)
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i = i.convert('RGBA') # Converte para RGBA para garantir
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# Cria background branco
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background = Image.new('RGB', i.size, (255, 255, 255))
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# Combina com a imagem usando alpha
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background.paste(i, mask=i.split()[3])
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# Converte para o formato do ComfyUI
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image = np.array(background).astype(np.float32) / 255.0
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image = torch.from_numpy(image)[None,]
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return (image,)
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@classmethod
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def IS_CHANGED(cls):
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return False
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@classmethod
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def VALIDATE_INPUTS(cls, image):
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if not os.path.exists(image):
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return "Image path does not exist"
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return True |