Fix size check for conditioning mask

The wrong dimensions were being checked, [1] and [2] are the image size.
not [2] and [3]. This results in an out-of-bounds error if one of them
actually matches.

comfy/samplers.py

@@ -375,7 +375,7 @@ def resolve_cond_masks(conditions, h, w, device):
             modified = c[1].copy()
             if len(mask.shape) == 2:
                 mask = mask.unsqueeze(0)
-            if mask.shape[2] != h or mask.shape[3] != w:
+            if mask.shape[1] != h or mask.shape[2] != w:
                 mask = torch.nn.functional.interpolate(mask.unsqueeze(1), size=(h, w), mode='bilinear', align_corners=False).squeeze(1)
 
             if modified.get("set_area_to_bounds", False):