From 6c6d05233c18007e9a6bfbd1cde7b0fb1dbd617f Mon Sep 17 00:00:00 2001 From: Jedrzej Kosinski Date: Thu, 20 Nov 2025 14:32:30 -0800 Subject: [PATCH] Use torch.nn.functional.pad --- nodes.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/nodes.py b/nodes.py index 2c067b803..030371633 100644 --- a/nodes.py +++ b/nodes.py @@ -1854,9 +1854,9 @@ class ImageBatch: def batch(self, image1, image2): if image1.shape[-1] != image2.shape[-1]: if image1.shape[-1] > image2.shape[-1]: - image2 = torch.cat((image2, torch.ones((image2.shape[0], image2.shape[1], image2.shape[2], 1))), dim=-1) + image2 = torch.nn.functional.pad(image2, (0,1), mode='constant', value=1.0) else: - image1 = torch.cat((image1, torch.ones((image1.shape[0], image1.shape[1], image1.shape[2], 1))), dim=-1) + image1 = torch.nn.functional.pad(image1, (0,1), mode='constant', value=1.0) if image1.shape[1:] != image2.shape[1:]: image2 = comfy.utils.common_upscale(image2.movedim(-1,1), image1.shape[2], image1.shape[1], "bilinear", "center").movedim(1,-1) s = torch.cat((image1, image2), dim=0)