diff --git a/extensions-builtin/sd_forge_controlnet_example/scripts/sd_forge_controlnet_example.py b/extensions-builtin/sd_forge_controlnet_example/scripts/sd_forge_controlnet_example.py
index 1ebbad54..2975380c 100644
--- a/extensions-builtin/sd_forge_controlnet_example/scripts/sd_forge_controlnet_example.py
+++ b/extensions-builtin/sd_forge_controlnet_example/scripts/sd_forge_controlnet_example.py
@@ -88,7 +88,8 @@ class ControlNetExampleForge(scripts.Script):
 
         unet = apply_controlnet_advanced(unet=unet, controlnet=self.model, image_bhwc=control_image,
                                          strength=0.6, start_percent=0.0, end_percent=0.8,
-                                         positive_advanced_weighting=None, negative_advanced_weighting=None)
+                                         positive_advanced_weighting=None, negative_advanced_weighting=None,
+                                         only_apply_to_one_frame_in_a_batch=None)
 
         p.sd_model.forge_objects.unet = unet
 
diff --git a/modules_forge/controlnet.py b/modules_forge/controlnet.py
index 9754e901..84da62ce 100644
--- a/modules_forge/controlnet.py
+++ b/modules_forge/controlnet.py
@@ -6,11 +6,14 @@ def apply_controlnet_advanced(
         start_percent,
         end_percent,
         positive_advanced_weighting=None,
-        negative_advanced_weighting=None):
+        negative_advanced_weighting=None,
+        only_apply_to_one_frame_in_a_batch=None,
+):
 
     cnet = controlnet.copy().set_cond_hint(image_bhwc.movedim(-1, 1), strength, (start_percent, end_percent))
     cnet.positive_advanced_weighting = positive_advanced_weighting
     cnet.negative_advanced_weighting = negative_advanced_weighting
+    cnet.only_apply_to_one_frame_in_a_batch = only_apply_to_one_frame_in_a_batch
 
     m = unet.clone()
     m.add_patched_controlnet(cnet)