28 lines
691 B
Python
28 lines
691 B
Python
import torch
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class GetImageSize_Custom:
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@classmethod
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def INPUT_TYPES(s):
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return {"required": {"image": ("IMAGE",)}}
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RETURN_TYPES = ("INT", "INT")
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RETURN_NAMES = ("width", "height")
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FUNCTION = "get_size"
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CATEGORY = "SmartSize"
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def get_size(self, image):
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# image is [Batch, Height, Width, Channels]
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_, h, w, _ = image.shape
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# Ensure multiple of 16 for Flux/SDXL to avoid shape errors
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w = (w // 16) * 16
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h = (h // 16) * 16
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return (w, h)
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NODE_CLASS_MAPPINGS = {
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"GetImageSize_Custom": GetImageSize_Custom
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}
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NODE_DISPLAY_NAME_MAPPINGS = {
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"GetImageSize_Custom": "Smart Image Size (Flux/SDXL)"
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}
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