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This node removes duplicate or very similar images from a batch. It works by creating a perceptual hash for each image—a simple numerical fingerprint based on its visual content—and then comparing them. Images whose hashes are more similar than a set threshold are considered duplicates and filtered out.

Inputs

ParameterDescriptionData TypeRequiredRange
imagesThe batch of images to process for deduplication.IMAGEYes-
similarity_thresholdSimilarity threshold (0-1). Higher means more similar. Images above this threshold are considered duplicates. (default: 0.95)FLOATNo0.0 - 1.0

Outputs

Output NameDescriptionData Type
imagesThe filtered list of images with duplicates removed.IMAGE
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