[pull] master from comfyanonymous:master

comfy_extras/nodes_images.py

@@ -505,8 +505,8 @@ def INPUT_TYPES(s):
             }
         }
 
-    RETURN_TYPES = (IO.INT, IO.INT)
-    RETURN_NAMES = ("width", "height")
+    RETURN_TYPES = (IO.INT, IO.INT, IO.INT)
+    RETURN_NAMES = ("width", "height", "batch_size")
     FUNCTION = "get_size"
 
     CATEGORY = "image"
@@ -515,12 +515,13 @@ def INPUT_TYPES(s):
     def get_size(self, image, unique_id=None) -> tuple[int, int]:
         height = image.shape[1]
         width = image.shape[2]
+        batch_size = image.shape[0]
 
         # Send progress text to display size on the node
         if unique_id:
-            PromptServer.instance.send_progress_text(f"width: {width}, height: {height}", unique_id)
+            PromptServer.instance.send_progress_text(f"width: {width}, height: {height}\n batch size: {batch_size}", unique_id)
 
-        return width, height
+        return width, height, batch_size
 
 NODE_CLASS_MAPPINGS = {
     "ImageCrop": ImageCrop,

requirements.txt

@@ -1,4 +1,4 @@
-comfyui-frontend-package==1.21.6
+comfyui-frontend-package==1.21.7
 comfyui-workflow-templates==0.1.25
 comfyui-embedded-docs==0.2.0
 torch

server.py

@@ -788,7 +788,7 @@ async def send_image(self, image_data, sid=None):
             if hasattr(Image, 'Resampling'):
                 resampling = Image.Resampling.BILINEAR
             else:
-                resampling = Image.ANTIALIAS
+                resampling = Image.Resampling.LANCZOS
 
             image = ImageOps.contain(image, (max_size, max_size), resampling)
         type_num = 1