diff --git a/extensions-builtin/sd_forge_controlnet/scripts/controlnet.py b/extensions-builtin/sd_forge_controlnet/scripts/controlnet.py
index be4c8bf9..c37d3d63 100644
--- a/extensions-builtin/sd_forge_controlnet/scripts/controlnet.py
+++ b/extensions-builtin/sd_forge_controlnet/scripts/controlnet.py
@@ -352,6 +352,9 @@ class ControlNetForForgeOfficial(scripts.Script):
             params.model.negative_advanced_weighting = soft_weighting.copy()
 
         cond, mask = params.preprocessor.process_before_every_sampling(p, cond, mask, *args, **kwargs)
+
+        params.model.advanced_mask_weighting = mask
+
         params.model.process_before_every_sampling(p, cond, mask, *args, **kwargs)
 
         logger.info(f"ControlNet Method {params.preprocessor.name} patched.")
diff --git a/modules_forge/supported_controlnet.py b/modules_forge/supported_controlnet.py
index 17e39040..1490259e 100644
--- a/modules_forge/supported_controlnet.py
+++ b/modules_forge/supported_controlnet.py
@@ -22,6 +22,7 @@ class ControlModelPatcher:
         self.negative_advanced_weighting = None
         self.advanced_frame_weighting = None
         self.advanced_sigma_weighting = None
+        self.advanced_mask_weighting = None
 
     def process_after_running_preprocessors(self, process, params, *args, **kwargs):
         return
@@ -155,7 +156,9 @@ class ControlNetPatcher(ControlModelPatcher):
             positive_advanced_weighting=self.positive_advanced_weighting,
             negative_advanced_weighting=self.negative_advanced_weighting,
             advanced_frame_weighting=self.advanced_frame_weighting,
-            advanced_sigma_weighting=self.advanced_sigma_weighting)
+            advanced_sigma_weighting=self.advanced_sigma_weighting,
+            advanced_mask_weighting=self.advanced_mask_weighting
+        )
 
         process.sd_model.forge_objects.unet = unet
         return