diff --git a/nodes.py b/nodes.py
index 9fea98b..47e9448 100644
--- a/nodes.py
+++ b/nodes.py
@@ -137,7 +137,7 @@ class CreateFadeMask:
                  "height": ("INT", {"default": 256,"min": 16, "max": 4096, "step": 1}),
                  "interpolation": (["linear", "ease_in", "ease_out", "ease_in_out"],),
                  "start_level": ("FLOAT", {"default": 1.0,"min": 0.0, "max": 1.0, "step": 0.01}),
-                 "midpoint_level": ("FLOAT", {"default": 1.0,"min": 0.0, "max": 1.0, "step": 0.01}),
+                 "midpoint_level": ("FLOAT", {"default": 0.5,"min": 0.0, "max": 1.0, "step": 0.01}),
                  "end_level": ("FLOAT", {"default": 0.0,"min": 0.0, "max": 1.0, "step": 0.01}),
         },
     } 
@@ -291,7 +291,6 @@ class GrowMaskWithBlur:
             else:
                 expand += abs(incremental_expandrate)  # Use abs(growrate) to ensure positive change
             output = torch.from_numpy(output)
-            print(output.shape)
             out.append(output)
         
         blurred = torch.stack(out, dim=0).reshape((-1, 1, mask.shape[-2], mask.shape[-1])).movedim(1, -1).expand(-1, -1, -1, 3)
@@ -456,13 +455,93 @@ class ConditioningSetMaskAndCombine:
             n[1]['mask_strength'] = strength
             c2.append(n)
         return (c, c2)
-    
+
+class ConditioningSetMaskAndCombine3:
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "positive_1": ("CONDITIONING", ),
+                "negative_1": ("CONDITIONING", ),
+                "positive_2": ("CONDITIONING", ),
+                "negative_2": ("CONDITIONING", ),
+                "positive_3": ("CONDITIONING", ),
+                "negative_3": ("CONDITIONING", ),
+                "mask_1": ("MASK", ),
+                "mask_2": ("MASK", ),
+                "mask_3": ("MASK", ),
+                "strength": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.01}),
+                "set_cond_area": (["default", "mask bounds"],),
+            }
+        }
+
+    RETURN_TYPES = ("CONDITIONING","CONDITIONING",)
+    RETURN_NAMES = ("combined_positive", "combined_negative",)
+    FUNCTION = "append"
+    CATEGORY = "KJNodes"
+
+    def append(self, positive_1, negative_1, positive_2, positive_3, negative_2, negative_3, mask_1, mask_2, mask_3, set_cond_area, strength):
+        c = []
+        c2 = []
+        set_area_to_bounds = False
+        if set_cond_area != "default":
+            set_area_to_bounds = True
+        if len(mask_1.shape) < 3:
+            mask_1 = mask_1.unsqueeze(0)
+        if len(mask_2.shape) < 3:
+            mask_2 = mask_2.unsqueeze(0)
+        if len(mask_3.shape) < 3:
+            mask_3 = mask_3.unsqueeze(0)
+        for t in positive_1:
+            n = [t[0], t[1].copy()]
+            _, h, w = mask_1.shape
+            n[1]['mask'] = mask_1
+            n[1]['set_area_to_bounds'] = set_area_to_bounds
+            n[1]['mask_strength'] = strength
+            c.append(n)
+        for t in positive_2:
+            n = [t[0], t[1].copy()]
+            _, h, w = mask_2.shape
+            n[1]['mask'] = mask_2
+            n[1]['set_area_to_bounds'] = set_area_to_bounds
+            n[1]['mask_strength'] = strength
+            c.append(n)
+        for t in positive_3:
+            n = [t[0], t[1].copy()]
+            _, h, w = mask_3.shape
+            n[1]['mask'] = mask_3
+            n[1]['set_area_to_bounds'] = set_area_to_bounds
+            n[1]['mask_strength'] = strength
+            c.append(n)
+        for t in negative_1:
+            n = [t[0], t[1].copy()]
+            _, h, w = mask_1.shape
+            n[1]['mask'] = mask_1
+            n[1]['set_area_to_bounds'] = set_area_to_bounds
+            n[1]['mask_strength'] = strength
+            c2.append(n)
+        for t in negative_2:
+            n = [t[0], t[1].copy()]
+            _, h, w = mask_2.shape
+            n[1]['mask'] = mask_2
+            n[1]['set_area_to_bounds'] = set_area_to_bounds
+            n[1]['mask_strength'] = strength
+            c2.append(n)
+        for t in negative_3:
+            n = [t[0], t[1].copy()]
+            _, h, w = mask_3.shape
+            n[1]['mask'] = mask_3
+            n[1]['set_area_to_bounds'] = set_area_to_bounds
+            n[1]['mask_strength'] = strength
+            c2.append(n)
+        return (c, c2)   
 
   
 NODE_CLASS_MAPPINGS = {
     "INTConstant": INTConstant,
     "ConditioningMultiCombine": ConditioningMultiCombine,
     "ConditioningSetMaskAndCombine": ConditioningSetMaskAndCombine,
+    "ConditioningSetMaskAndCombine3": ConditioningSetMaskAndCombine3,
     "GrowMaskWithBlur": GrowMaskWithBlur,
     "ColorToMask": ColorToMask,
     "CreateGradientMask": CreateGradientMask,
@@ -474,6 +553,7 @@ NODE_DISPLAY_NAME_MAPPINGS = {
     "INTConstant": "INT Constant",
     "ConditioningMultiCombine": "Conditioning Multi Combine",
     "ConditioningSetMaskAndCombine": "ConditioningSetMaskAndCombine",
+    "ConditioningSetMaskAndCombine3": "ConditioningSetMaskAndCombine3",
     "GrowMaskWithBlur": "GrowMaskWithBlur",
     "ColorToMask": "ColorToMask",
     "CreateGradientMask": "CreateGradientMask",