diff --git a/README.md b/README.md
index 2afb472e..caa61e60 100644
--- a/README.md
+++ b/README.md
@@ -455,9 +455,9 @@ class ControlNetExampleForge(scripts.Script):
             'output': [0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0, 1.1, 1.2]
         }
         negative_advanced_weighting = {
-            'input': [0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0, 1.1, 1.2],
-            'middle': [1.0],
-            'output': [0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0, 1.1, 1.2]
+            'input': [0.15, 0.25, 0.35, 0.45, 0.55, 0.65, 0.75, 0.85, 0.95, 1.05, 1.15, 1.25],
+            'middle': [1.05],
+            'output': [0.15, 0.25, 0.35, 0.45, 0.55, 0.65, 0.75, 0.85, 0.95, 1.05, 1.15, 1.25]
         }
 
         # The advanced_frame_weighting is a weight applied to each image in a batch.
@@ -480,7 +480,7 @@ class ControlNetExampleForge(scripts.Script):
         advanced_frame_weighting = None
         advanced_sigma_weighting = None
 
-        unet = apply_controlnet_advanced(unet=unet, controlnet=self.model, image_bhwc=control_image,
+        unet = apply_controlnet_advanced(unet=unet, controlnet=self.model, image_bchw=control_image.movedim(-1, 1),
                                          strength=0.6, start_percent=0.0, end_percent=0.8,
                                          positive_advanced_weighting=positive_advanced_weighting,
                                          negative_advanced_weighting=negative_advanced_weighting,
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 9a41ddb5..da8a28f2 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
@@ -130,7 +130,7 @@ class ControlNetExampleForge(scripts.Script):
         advanced_frame_weighting = None
         advanced_sigma_weighting = None
 
-        unet = apply_controlnet_advanced(unet=unet, controlnet=self.model, image_bhwc=control_image,
+        unet = apply_controlnet_advanced(unet=unet, controlnet=self.model, image_bchw=control_image.movedim(-1, 1),
                                          strength=0.6, start_percent=0.0, end_percent=0.8,
                                          positive_advanced_weighting=positive_advanced_weighting,
                                          negative_advanced_weighting=negative_advanced_weighting,
diff --git a/modules_forge/controlnet.py b/modules_forge/controlnet.py
index 3d4959b6..24371de9 100644
--- a/modules_forge/controlnet.py
+++ b/modules_forge/controlnet.py
@@ -8,7 +8,7 @@ def get_at(array, index, default=None):
 def apply_controlnet_advanced(
         unet,
         controlnet,
-        image_bhwc,
+        image_bchw,
         strength,
         start_percent,
         end_percent,
@@ -55,7 +55,7 @@ def apply_controlnet_advanced(
 
     """
 
-    cnet = controlnet.copy().set_cond_hint(image_bhwc.movedim(-1, 1), strength, (start_percent, end_percent))
+    cnet = controlnet.copy().set_cond_hint(image_bchw, strength, (start_percent, end_percent))
     cnet.positive_advanced_weighting = positive_advanced_weighting
     cnet.negative_advanced_weighting = negative_advanced_weighting
     cnet.advanced_frame_weighting = advanced_frame_weighting