Fix ImageListSampler to correctly handle list input in ComfyUI

logic_management/image_list_sampler.py

@@ -10,23 +10,24 @@ class ImageListSampler:
 
     RETURN_TYPES = ("IMAGE",)
     RETURN_NAMES = ("sampled_images",)
+    INPUT_IS_LIST = True
     OUTPUT_IS_LIST = (True,)
     FUNCTION = "sample_images"
     CATEGORY = "AnotherUtils/logic"
 
     def sample_images(self, images, count):
-        if not isinstance(images, list):
-            # If it's a batch tensor [B, H, W, C], convert to list because logic expects list input
-            # However, if it's already a list of tokens, we just use it.
-            # In ComfyUI, if INPUT is simple "IMAGE", it might be a single tensor.
-            # But if we were called with a list, 'images' is a list.
-            pass
+        # When INPUT_IS_LIST is True, all inputs arrive as lists
+        # Unwrap parameters that should be single values
+        cnt = count[0] if isinstance(count, list) else count
+        
+        if not images:
+            return ([],)
             
         total = len(images)
-        if count <= 0:
+        if cnt <= 0:
             return ([],)
         
-        if count >= total:
+        if cnt >= total:
             return (images,)
 
         # Calculate equally spaced indices
@@ -35,8 +36,8 @@ class ImageListSampler:
         # i=0 -> 0
         # i=1 -> 3
         # i=2 -> 6
-        step = total / count
-        indices = [int(i * step) for i in range(count)]
+        step = total / cnt
+        indices = [int(i * step) for i in range(cnt)]
         
         sampled = [images[i] for i in indices]