> ## Documentation Index
> Fetch the complete documentation index at: https://docs.comfy.org/llms.txt
> Use this file to discover all available pages before exploring further.

# SplitImageToTileList - ComfyUI Built-in Node Documentation

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

> 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/SplitImageToTileList/en.md)

The Split Image into List of Tiles node divides a single input image into a series of smaller, overlapping rectangular sections called tiles. It creates a batched list of these tiles, which can be processed individually by other nodes. The size of each tile and the amount of overlap between them can be specified.

## Inputs

| Parameter     | Data Type | Required | Range         | Description                                                           |
| ------------- | --------- | -------- | ------------- | --------------------------------------------------------------------- |
| `image`       | IMAGE     | Yes      | -             | The input image to be split into tiles.                               |
| `tile_width`  | INT       | Yes      | 64 to 1048576 | The width of each output tile in pixels (default: 1024).              |
| `tile_height` | INT       | Yes      | 64 to 1048576 | The height of each output tile in pixels (default: 1024).             |
| `overlap`     | INT       | Yes      | 0 to 4096     | The number of pixels that adjacent tiles will overlap (default: 128). |

## Outputs

| Output Name | Data Type | Description                                               |
| ----------- | --------- | --------------------------------------------------------- |
| `image`     | IMAGE     | A batched list containing all the individual image tiles. |

***

**Source fingerprint (SHA-256):** `4a04e7042446c2368091ffd051c781f9f0ec8496ab681ee9e0741bb269bb54af`