diff --git a/nodes.py b/nodes.py
index 5c919ba..eaaf54c 100644
--- a/nodes.py
+++ b/nodes.py
@@ -279,6 +279,7 @@ class CrossFadeImages:
                  "images_1": ("IMAGE",),
                  "images_2": ("IMAGE",),
                  "interpolation": (["linear", "ease_in", "ease_out", "ease_in_out", "bounce", "elastic", "glitchy", "exponential_ease_out"],),
+                 "batch_size": ("INT", {"default": 1,"min": 0, "max": 4096, "step": 1}),
                  "transition_start_index": ("INT", {"default": 1,"min": 0, "max": 4096, "step": 1}),
                  "transitioning_frames": ("INT", {"default": 1,"min": 0, "max": 4096, "step": 1}),
                  "start_level": ("FLOAT", {"default": 1.0,"min": 0.0, "max": 1.0, "step": 0.01}),
@@ -286,7 +287,7 @@ class CrossFadeImages:
         },
     } 
     
-    def crossfadeimages(self, images_1, images_2, transition_start_index, transitioning_frames, interpolation, start_level, end_level):
+    def crossfadeimages(self, images_1, images_2, transition_start_index, transitioning_frames, interpolation, batch_size, start_level, end_level):
 
         def crossfade(images_1, images_2, alpha):
             crossfade = (1 - alpha) * images_1 + alpha * images_2
@@ -320,10 +321,8 @@ class CrossFadeImages:
             "exponential_ease_out": exponential_ease_out,
         }
 
-        
-        batch_size = images_1.size(0)
+        #batch_size = images_1.size(0)
         crossfade_images = []
-        #transition_frame_length = int(batch_size / transitioning_frames)
         
         alphas = torch.linspace(start_level, end_level, batch_size)
         for i in range(batch_size):