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

## Outputs

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

> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/ImageDeduplication/en.md)

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**Source fingerprint (SHA-256):** `d0c40694853c3dd0952d58b920bf735a4626cb2921928bb982ba479dc58fbe53`