1hew-ComfyUI-1hewNodes/web/docs/1hew_ImageGridSplit/en.md

Image Grid Split - Grid-Based Image Tiling

Node Purpose: Image Grid Split divides each image into a grid of rows × columns tiles. You can output all tiles as a batch or select a specific tile per image using index.

Inputs

Name	Port	Type	Default	Range	Description
image	-	IMAGE	-	-	Input image batch.
rows	-	INT	2	1–10	Number of rows to split.
columns	-	INT	2	1–10	Number of columns to split.
index	-	INT	0	-100–100	Python-style index to select a specific tile per image (e.g., 0 for first, -1 for last). Ignored if all is True.
all	-	BOOL	False	-	If True, outputs all tiles from the split. If False, outputs only the tile selected by index.

Outputs

Name	Type	Description
image	IMAGE	Grid tiles batch or the selected tile per input image.

Features

• Deterministic tiling: computes tile sizes via integer division.
• Row-major ordering: tiles are ordered by rows, then columns.
• Python-style indexing: Use index to select tiles (0-based, negative indexing supported).
• Batch handling: Toggle all to True to stack all tiles across the batch; otherwise one tile per input is returned.

Typical Usage

• Patch processing: split large images into manageable tiles for model inference; set all=True to process all.
• Targeted tile: set all=False and specify index to retrieve a particular region from each image.

Notes & Tips

• Ensure image dimensions are divisible by rows and columns for exact tiling; otherwise the last pixels in each axis are dropped due to integer division.
• RGBA inputs are converted to RGB tiles internally to ensure consistent shape.