44 lines
1.1 KiB
Python
44 lines
1.1 KiB
Python
import folder_paths
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from PIL import Image, ImageOps
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import numpy as np
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import torch
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class LoadImageFromRequest:
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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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"name": (
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"STRING",
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{"multiline": False, "default": "face.png"},
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),
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},
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"optional": {
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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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RETURN_NAMES = ("image",)
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FUNCTION = "run"
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CATEGORY = "image"
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def run(self, name, image=None):
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try:
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image_path = folder_paths.get_annotated_filepath(name)
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i = Image.open(image_path)
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i = ImageOps.exif_transpose(i)
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image = i.convert("RGB")
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image = np.array(image).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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except:
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return [image]
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NODE_CLASS_MAPPINGS = {"LoadImageFromRequest": LoadImageFromRequest}
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NODE_DISPLAY_NAME_MAPPINGS = {"LoadImageFromRequest": "Load Image From Request"}
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