40 lines
1.2 KiB
Python
40 lines
1.2 KiB
Python
import torch
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from PIL import Image
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class FL_ImageDimensionDisplay:
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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": ("IMAGE", {}),
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}
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}
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RETURN_TYPES = ("STRING",)
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FUNCTION = "display_dimensions"
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CATEGORY = "🏵️Fill Nodes"
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def display_dimensions(self, image):
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# Check the number of dimensions in the image tensor to correctly unpack the dimensions
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if isinstance(image, torch.Tensor):
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if image.dim() == 4: # Batch dimension is present
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_, height, width, _, = image.shape
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elif image.dim() == 3: # No batch dimension, single image
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_, height, width = image.shape
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else:
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return ("Unsupported tensor format",)
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elif isinstance(image, Image.Image):
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width, height = image.size
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else:
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return ("Unsupported image format",)
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# Correctly assign width and height
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dimensions = f"Width: {width}, Height: {height}"
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# Display dimensions in the UI. This might need to be adapted.
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print(dimensions)
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# Return the dimensions as a string.
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return (dimensions,)
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