64 lines
2.0 KiB
Python
64 lines
2.0 KiB
Python
import random
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class AD_ImageIndexer:
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def __init__(self):
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self.current_index = 0
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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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"images": ("IMAGE",),
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"increment": ("INT", {"default": 1, "min": 0, "max": 1000, "step": 1}),
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"seed": ("INT", {"default": 0, "min": 0, "max": 0xffffffffffffffff}),
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},
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}
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RETURN_TYPES = ("IMAGE", "INT", "INT")
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RETURN_NAMES = ("image", "current_index", "total_images")
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FUNCTION = "index_image"
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CATEGORY = "🌻 葵花宝典/Image"
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INPUT_IS_LIST = True
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def index_image(self, images, increment, seed):
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if not isinstance(images, list):
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images = [images]
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# Ensure increment is an integer, even if it's passed as a list
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increment = int(increment[0] if isinstance(increment, list) else increment)
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# Ensure seed is an integer, even if it's passed as a list
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seed = int(seed[0] if isinstance(seed, list) else seed)
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total_images = len(images)
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if self.current_index is None:
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if increment == 0:
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# Random starting point
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random.seed(seed)
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self.current_index = random.randint(0, total_images - 1)
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else:
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# Start from the beginning
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self.current_index = 0
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if increment == 0:
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# Random selection using seed
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random.seed(seed)
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selected_index = random.randint(0, total_images - 1)
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else:
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# Sequential selection based on increment
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selected_index = self.current_index
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self.current_index = (self.current_index + increment) % total_images
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selected_image = images[selected_index]
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return (selected_image, selected_index, total_images)
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NODE_CLASS_MAPPINGS = {
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"AD_ImageIndexer": AD_ImageIndexer,
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}
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NODE_DISPLAY_NAME_MAPPINGS = {
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"AD_ImageIndexer": "🌻 Image Indexer",
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}
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