diff --git a/kie_api/grid.py b/kie_api/grid.py
index 80afeaa..c70da37 100644
--- a/kie_api/grid.py
+++ b/kie_api/grid.py
@@ -8,6 +8,13 @@ import torch
 from .nanobanana import _log
 
 
+VALID_GRIDS = {
+    "2x2": (2, 2),
+    "3x3": (3, 3),
+    "2x3": (2, 3),
+}
+
+
 def slice_grid_tensor(
     image: torch.Tensor,
     grid: str,
@@ -21,7 +28,7 @@ def slice_grid_tensor(
 
     Args:
         image: Input batch tensor with shape [B, H, W, 3].
-        grid: "2x2" or "3x3".
+        grid: "2x2", "3x3", or "2x3".
         outer_crop_px: Pixels trimmed from each side before slicing.
         gutter_px: Pixels removed between tiles inside the grid.
         order: "row-major" or "column-major".
@@ -31,7 +38,10 @@ def slice_grid_tensor(
     Returns:
         Tensor of tiles stacked on batch dimension.
     """
-    rows, cols = (2, 2) if grid == "2x2" else (3, 3)
+    try:
+        rows, cols = VALID_GRIDS[grid]
+    except KeyError as exc:
+        raise RuntimeError(f"Unsupported grid '{grid}'. Choose from {', '.join(VALID_GRIDS)}.") from exc
 
     if image.dim() != 4 or image.shape[-1] != 3:
         raise RuntimeError("IMAGE input must have shape [B, H, W, 3].")
@@ -103,4 +113,3 @@ def slice_grid_tensor(
             _log(log, f"Processed image {idx + 1}/{len(targets)}.")
 
     return torch.stack(all_tiles, dim=0)
-
diff --git a/nodes.py b/nodes.py
index 96d3f17..ee0c3d0 100644
--- a/nodes.py
+++ b/nodes.py
@@ -330,7 +330,7 @@ Slice a single grid image into equal tiles, optionally cropping borders and remo
 
 Inputs:
 - IMAGE: Grid image batch (BHWC float32 0–1)
-- grid: 2x2 or 3x3 layout
+- grid: 2x2, 2x3, or 3x3 layout
 - outer_crop_px: Pixels to trim from each side before slicing
 - gutter_px: Pixels to remove between tiles inside the grid
 - order: Tile ordering (row-major or column-major)
@@ -338,7 +338,7 @@ Inputs:
 - log: Console logging on/off
 
 Outputs:
-- IMAGE: Tile batch (4 or 9 per processed image)
+- IMAGE: Tile batch (4, 6, or 9 per processed image)
 """
 
     @classmethod
@@ -348,7 +348,7 @@ Outputs:
                 "image": ("IMAGE",),
             },
             "optional": {
-                "grid": ("COMBO", {"options": ["2x2", "3x3"], "default": "2x2"}),
+                "grid": ("COMBO", {"options": ["2x2", "2x3", "3x3"], "default": "2x2"}),
                 "outer_crop_px": ("INT", {"default": 0, "min": 0, "max": 8192, "step": 1}),
                 "gutter_px": ("INT", {"default": 0, "min": 0, "max": 8192, "step": 1}),
                 "order": ("COMBO", {"options": ["row-major", "column-major"], "default": "row-major"}),