From d7111e426a48127a97922227b03d31391eb4eba2 Mon Sep 17 00:00:00 2001
From: Tavi Halperin <tavi@lightricks.com>
Date: Tue, 30 Dec 2025 03:07:29 +0200
Subject: [PATCH 1/3] ResizeByLongerSide: support video (#11555)

(cherry picked from commit 98c6840aa4e5fd5407ba9ab113d209011e474bf6)
---
 comfy_extras/nodes_dataset.py | 23 +++++++++++++----------
 1 file changed, 13 insertions(+), 10 deletions(-)

diff --git a/comfy_extras/nodes_dataset.py b/comfy_extras/nodes_dataset.py
index 513aecf3a..5ef851bd0 100644
--- a/comfy_extras/nodes_dataset.py
+++ b/comfy_extras/nodes_dataset.py
@@ -667,16 +667,19 @@ class ResizeImagesByLongerEdgeNode(ImageProcessingNode):
 
     @classmethod
     def _process(cls, image, longer_edge):
-        img = tensor_to_pil(image)
-        w, h = img.size
-        if w > h:
-            new_w = longer_edge
-            new_h = int(h * (longer_edge / w))
-        else:
-            new_h = longer_edge
-            new_w = int(w * (longer_edge / h))
-        img = img.resize((new_w, new_h), Image.Resampling.LANCZOS)
-        return pil_to_tensor(img)
+        resized_images = []
+        for image_i in image:
+            img = tensor_to_pil(image_i)
+            w, h = img.size
+            if w > h:
+                new_w = longer_edge
+                new_h = int(h * (longer_edge / w))
+            else:
+                new_h = longer_edge
+                new_w = int(w * (longer_edge / h))
+            img = img.resize((new_w, new_h), Image.Resampling.LANCZOS)
+            resized_images.append(pil_to_tensor(img))
+        return torch.cat(resized_images, dim=0)
 
 
 class CenterCropImagesNode(ImageProcessingNode):

From 25a1bfab4e19b541c2bd6f253a3b83886fb660a1 Mon Sep 17 00:00:00 2001
From: Alexander Piskun <13381981+bigcat88@users.noreply.github.com>
Date: Tue, 30 Dec 2025 18:33:34 +0200
Subject: [PATCH 2/3] chore(api-nodes-bytedance): mark "seededit" as
 deprecated, adjust display name of Seedream (#11490)

---
 comfy_api_nodes/nodes_bytedance.py | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/comfy_api_nodes/nodes_bytedance.py b/comfy_api_nodes/nodes_bytedance.py
index 636cc1265..d4a2cfae6 100644
--- a/comfy_api_nodes/nodes_bytedance.py
+++ b/comfy_api_nodes/nodes_bytedance.py
@@ -229,6 +229,7 @@ class ByteDanceImageEditNode(IO.ComfyNode):
                 IO.Hidden.unique_id,
             ],
             is_api_node=True,
+            is_deprecated=True,
         )
 
     @classmethod
@@ -269,7 +270,7 @@ class ByteDanceSeedreamNode(IO.ComfyNode):
     def define_schema(cls):
         return IO.Schema(
             node_id="ByteDanceSeedreamNode",
-            display_name="ByteDance Seedream 4",
+            display_name="ByteDance Seedream 4.5",
             category="api node/image/ByteDance",
             description="Unified text-to-image generation and precise single-sentence editing at up to 4K resolution.",
             inputs=[

From 178bdc5e14ec0a55e401c509719e33773cc9b565 Mon Sep 17 00:00:00 2001
From: drozbay <17261091+drozbay@users.noreply.github.com>
Date: Tue, 30 Dec 2025 15:40:42 -0700
Subject: [PATCH 3/3] Add handling for vace_context in context windows (#11386)

Co-authored-by: ozbayb <17261091+ozbayb@users.noreply.github.com>
---
 comfy/context_windows.py | 6 ++++++
 1 file changed, 6 insertions(+)

diff --git a/comfy/context_windows.py b/comfy/context_windows.py
index 1e0f86026..2f82d51da 100644
--- a/comfy/context_windows.py
+++ b/comfy/context_windows.py
@@ -188,6 +188,12 @@ class IndexListContextHandler(ContextHandlerABC):
                                 audio_cond = cond_value.cond
                                 if audio_cond.ndim > 1 and audio_cond.size(1) == x_in.size(self.dim):
                                     new_cond_item[cond_key] = cond_value._copy_with(window.get_tensor(audio_cond, device, dim=1))
+                            # Handle vace_context (temporal dim is 3)
+                            elif cond_key == "vace_context" and hasattr(cond_value, "cond") and isinstance(cond_value.cond, torch.Tensor):
+                                vace_cond = cond_value.cond
+                                if vace_cond.ndim >= 4 and vace_cond.size(3) == x_in.size(self.dim):
+                                    sliced_vace = window.get_tensor(vace_cond, device, dim=3, retain_index_list=self.cond_retain_index_list)
+                                    new_cond_item[cond_key] = cond_value._copy_with(sliced_vace)
                             # if has cond that is a Tensor, check if needs to be subset
                             elif hasattr(cond_value, "cond") and isinstance(cond_value.cond, torch.Tensor):
                                 if  (self.dim < cond_value.cond.ndim and cond_value.cond.size(self.dim) == x_in.size(self.dim)) or \