From 5f54614e7fa8a7ae493c7ac8a8c0677970cac908 Mon Sep 17 00:00:00 2001
From: comfyanonymous <comfyanonymous@protonmail.com>
Date: Wed, 20 Dec 2023 16:22:18 -0500
Subject: [PATCH] Add a RebatchImages node.

---
 comfy_extras/nodes_rebatch.py | 32 +++++++++++++++++++++++++++++++-
 1 file changed, 31 insertions(+), 1 deletion(-)

diff --git a/comfy_extras/nodes_rebatch.py b/comfy_extras/nodes_rebatch.py
index 88a4ebe29f6..3010fbd4b69 100644
--- a/comfy_extras/nodes_rebatch.py
+++ b/comfy_extras/nodes_rebatch.py
@@ -99,10 +99,40 @@ def rebatch(self, latents, batch_size):
 
         return (output_list,)
 
+class ImageRebatch:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": { "images": ("IMAGE",),
+                              "batch_size": ("INT", {"default": 1, "min": 1, "max": 4096}),
+                              }}
+    RETURN_TYPES = ("IMAGE",)
+    INPUT_IS_LIST = True
+    OUTPUT_IS_LIST = (True, )
+
+    FUNCTION = "rebatch"
+
+    CATEGORY = "image/batch"
+
+    def rebatch(self, images, batch_size):
+        batch_size = batch_size[0]
+
+        output_list = []
+        all_images = []
+        for img in images:
+            for i in range(img.shape[0]):
+                all_images.append(img[i:i+1])
+
+        for i in range(0, len(all_images), batch_size):
+            output_list.append(torch.cat(all_images[i:i+batch_size], dim=0))
+
+        return (output_list,)
+
 NODE_CLASS_MAPPINGS = {
     "RebatchLatents": LatentRebatch,
+    "RebatchImages": ImageRebatch,
 }
 
 NODE_DISPLAY_NAME_MAPPINGS = {
     "RebatchLatents": "Rebatch Latents",
-}
\ No newline at end of file
+    "RebatchImages": "Rebatch Images",
+}