62 lines
1.6 KiB
Python
62 lines
1.6 KiB
Python
# image_auto_disable_node.py
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import torch
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import numpy as np
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from PIL import Image
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import folder_paths
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class ImageAutoDisableNode:
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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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"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 = ("output_image",)
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FUNCTION = "process_image"
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CATEGORY = "image/utils"
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def process_image(self, image=None):
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# 如果图像无效，返回None
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if not self.is_valid_image(image):
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return (None,)
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return (image,)
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def is_valid_image(self, image):
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"""检查图像是否有效"""
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if image is None:
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return False
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if not isinstance(image, torch.Tensor):
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return False
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if image.nelement() == 0:
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return False
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if len(image.shape) < 3:
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return False
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if image.shape[1] == 0 or image.shape[2] == 0:
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return False
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return True
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@classmethod
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def IS_CHANGED(cls, image=None, **kwargs):
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"""这个方法控制节点是否重新执行"""
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# 创建实例来调用检查方法
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instance = cls()
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if instance.is_valid_image(image):
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# 图像有效，节点正常执行
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return float("inf")
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else:
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# 图像无效，节点禁用
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return None
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NODE_CLASS_MAPPINGS = {
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"ImageAutoDisableNode": ImageAutoDisableNode,
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}
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NODE_DISPLAY_NAME_MAPPINGS = {
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"ImageAutoDisableNode": "Image Auto Disable Node",
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} |