ImageDeduplication - ComfyUI Built-in Node Documentation

Complete documentation for the ImageDeduplication node in ComfyUI. Learn its inputs, outputs, parameters and usage.

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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

Parameter	Data Type	Required	Range	Description
images	IMAGE	Yes	-	The batch of images to process for deduplication.
similarity_threshold	FLOAT	No	0.0 - 1.0	Similarity threshold (0-1). Higher means more similar. Images above this threshold are considered duplicates. (default: 0.95)

Outputs

Output Name	Data Type	Description
images	IMAGE	The filtered list of images with duplicates removed.