40 lines
991 B
Python
40 lines
991 B
Python
from rembg import remove
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from PIL import Image
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import torch
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import numpy as np
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# Tensor to PIL
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def tensor2pil(image):
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return Image.fromarray(np.clip(255. * image.cpu().numpy().squeeze(), 0, 255).astype(np.uint8))
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# Convert PIL to Tensor
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def pil2tensor(image):
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return torch.from_numpy(np.array(image).astype(np.float32) / 255.0).unsqueeze(0)
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class ImageRemoveBackgroundRembg:
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def __init__(self):
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pass
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@classmethod
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def INPUT_TYPES(s):
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return {
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"required": {
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"image": ("IMAGE",),
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},
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}
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RETURN_TYPES = ("IMAGE",)
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FUNCTION = "remove_background"
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CATEGORY = "image"
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def remove_background(self, image):
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image = pil2tensor(remove(tensor2pil(image)))
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return (image,)
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# A dictionary that contains all nodes you want to export with their names
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# NOTE: names should be globally unique
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NODE_CLASS_MAPPINGS = {
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"Image Remove Background (rembg)": ImageRemoveBackgroundRembg
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}
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