diff --git a/adv_control/nodes_sparsectrl.py b/adv_control/nodes_sparsectrl.py
index 70eadc5..9fde905 100644
--- a/adv_control/nodes_sparsectrl.py
+++ b/adv_control/nodes_sparsectrl.py
@@ -175,7 +175,7 @@ class SparseWeightExtras:
     def INPUT_TYPES(s):
         return {
             "optional": {
-                "extras": ("CN_WEIGHTS_EXTRAS",),
+                "cn_extras": ("CN_WEIGHTS_EXTRAS",),
                 "sparse_hint_mult": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.001}, ),
                 "sparse_nonhint_mult": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.001}, ),
                 "sparse_mask_mult": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.001}, ),
@@ -183,14 +183,14 @@ class SparseWeightExtras:
         }
     
     RETURN_TYPES = ("CN_WEIGHTS_EXTRAS", )
-    RETURN_NAMES = ("extras", )
+    RETURN_NAMES = ("cn_extras", )
     FUNCTION = "create_weight_extras"
 
     CATEGORY = "Adv-ControlNet 🛂🅐🅒🅝/SparseCtrl/extras"
 
-    def create_weight_extras(self, extras: dict[str]={}, sparse_hint_mult=1.0, sparse_nonhint_mult=1.0, sparse_mask_mult=1.0):
-        extras = extras.copy()
-        extras[SparseConst.HINT_MULT] = sparse_hint_mult
-        extras[SparseConst.NONHINT_MULT] = sparse_nonhint_mult
-        extras[SparseConst.MASK_MULT] = sparse_mask_mult
-        return (extras, )
+    def create_weight_extras(self, cn_extras: dict[str]={}, sparse_hint_mult=1.0, sparse_nonhint_mult=1.0, sparse_mask_mult=1.0):
+        cn_extras = cn_extras.copy()
+        cn_extras[SparseConst.HINT_MULT] = sparse_hint_mult
+        cn_extras[SparseConst.NONHINT_MULT] = sparse_nonhint_mult
+        cn_extras[SparseConst.MASK_MULT] = sparse_mask_mult
+        return (cn_extras, )
diff --git a/adv_control/nodes_weight.py b/adv_control/nodes_weight.py
index ddd7ef0..c7767db 100644
--- a/adv_control/nodes_weight.py
+++ b/adv_control/nodes_weight.py
@@ -12,7 +12,7 @@ class DefaultWeights:
     def INPUT_TYPES(s):
         return {
             "optional": {
-                "extras": ("CN_WEIGHTS_EXTRAS",),
+                "cn_extras": ("CN_WEIGHTS_EXTRAS",),
             }
         }
     
@@ -22,8 +22,8 @@ class DefaultWeights:
 
     CATEGORY = "Adv-ControlNet 🛂🅐🅒🅝/weights"
 
-    def load_weights(self, extras: dict[str]={}):
-        weights = ControlWeights.default(extras=extras)
+    def load_weights(self, cn_extras: dict[str]={}):
+        weights = ControlWeights.default(extras=cn_extras)
         return (weights, TimestepKeyframeGroup.default(TimestepKeyframe(control_weights=weights))) 
 
 
@@ -40,7 +40,7 @@ class ScaledSoftMaskedUniversalWeights:
             },
             "optional": {
                 "uncond_multiplier": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01}, ),
-                "extras": ("CN_WEIGHTS_EXTRAS",),
+                "cn_extras": ("CN_WEIGHTS_EXTRAS",),
             }
         }
     
@@ -51,7 +51,7 @@ class ScaledSoftMaskedUniversalWeights:
     CATEGORY = "Adv-ControlNet 🛂🅐🅒🅝/weights"
 
     def load_weights(self, mask: Tensor, min_base_multiplier: float, max_base_multiplier: float, lock_min=False, lock_max=False,
-                     uncond_multiplier: float=1.0, extras: dict[str]={}):
+                     uncond_multiplier: float=1.0, cn_extras: dict[str]={}):
         # normalize mask
         mask = mask.clone()
         x_min = 0.0 if lock_min else mask.min()
@@ -60,7 +60,7 @@ class ScaledSoftMaskedUniversalWeights:
             mask = torch.ones_like(mask) * max_base_multiplier
         else:
             mask = linear_conversion(mask, x_min, x_max, min_base_multiplier, max_base_multiplier)
-        weights = ControlWeights.universal_mask(weight_mask=mask, uncond_multiplier=uncond_multiplier, extras=extras)
+        weights = ControlWeights.universal_mask(weight_mask=mask, uncond_multiplier=uncond_multiplier, extras=cn_extras)
         return (weights, TimestepKeyframeGroup.default(TimestepKeyframe(control_weights=weights)))
 
 
@@ -74,7 +74,7 @@ class ScaledSoftUniversalWeights:
             },
             "optional": {
                 "uncond_multiplier": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01}, ),
-                "extras": ("CN_WEIGHTS_EXTRAS",),
+                "cn_extras": ("CN_WEIGHTS_EXTRAS",),
             }
         }
     
@@ -84,8 +84,8 @@ class ScaledSoftUniversalWeights:
 
     CATEGORY = "Adv-ControlNet 🛂🅐🅒🅝/weights"
 
-    def load_weights(self, base_multiplier, flip_weights, uncond_multiplier: float=1.0, extras: dict[str]={}):
-        weights = ControlWeights.universal(base_multiplier=base_multiplier, flip_weights=flip_weights, uncond_multiplier=uncond_multiplier, extras=extras)
+    def load_weights(self, base_multiplier, flip_weights, uncond_multiplier: float=1.0, cn_extras: dict[str]={}):
+        weights = ControlWeights.universal(base_multiplier=base_multiplier, flip_weights=flip_weights, uncond_multiplier=uncond_multiplier, extras=cn_extras)
         return (weights, TimestepKeyframeGroup.default(TimestepKeyframe(control_weights=weights))) 
 
 
@@ -111,7 +111,7 @@ class SoftControlNetWeights:
             },
             "optional": {
                 "uncond_multiplier": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01}, ),
-                "extras": ("CN_WEIGHTS_EXTRAS",),
+                "cn_extras": ("CN_WEIGHTS_EXTRAS",),
             }
         }
     
@@ -123,10 +123,10 @@ class SoftControlNetWeights:
 
     def load_weights(self, weight_00, weight_01, weight_02, weight_03, weight_04, weight_05, weight_06, 
                      weight_07, weight_08, weight_09, weight_10, weight_11, weight_12, flip_weights,
-                     uncond_multiplier: float=1.0, extras: dict[str]={}):
+                     uncond_multiplier: float=1.0, cn_extras: dict[str]={}):
         weights = [weight_00, weight_01, weight_02, weight_03, weight_04, weight_05, weight_06, 
                    weight_07, weight_08, weight_09, weight_10, weight_11, weight_12]
-        weights = ControlWeights.controlnet(weights, flip_weights=flip_weights, uncond_multiplier=uncond_multiplier, extras=extras)
+        weights = ControlWeights.controlnet(weights, flip_weights=flip_weights, uncond_multiplier=uncond_multiplier, extras=cn_extras)
         return (weights, TimestepKeyframeGroup.default(TimestepKeyframe(control_weights=weights)))
 
 
@@ -152,7 +152,7 @@ class CustomControlNetWeights:
             },
             "optional": {
                 "uncond_multiplier": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01}, ),
-                "extras": ("CN_WEIGHTS_EXTRAS",),
+                "cn_extras": ("CN_WEIGHTS_EXTRAS",),
             }
         }
     
@@ -164,10 +164,10 @@ class CustomControlNetWeights:
 
     def load_weights(self, weight_00, weight_01, weight_02, weight_03, weight_04, weight_05, weight_06, 
                      weight_07, weight_08, weight_09, weight_10, weight_11, weight_12, flip_weights,
-                     uncond_multiplier: float=1.0, extras: dict[str]={}):
+                     uncond_multiplier: float=1.0, cn_extras: dict[str]={}):
         weights = [weight_00, weight_01, weight_02, weight_03, weight_04, weight_05, weight_06, 
                    weight_07, weight_08, weight_09, weight_10, weight_11, weight_12]
-        weights = ControlWeights.controlnet(weights, flip_weights=flip_weights, uncond_multiplier=uncond_multiplier, extras=extras)
+        weights = ControlWeights.controlnet(weights, flip_weights=flip_weights, uncond_multiplier=uncond_multiplier, extras=cn_extras)
         return (weights, TimestepKeyframeGroup.default(TimestepKeyframe(control_weights=weights)))
 
 
@@ -184,7 +184,7 @@ class SoftT2IAdapterWeights:
             },
             "optional": {
                 "uncond_multiplier": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01}, ),
-                "extras": ("CN_WEIGHTS_EXTRAS",),
+                "cn_extras": ("CN_WEIGHTS_EXTRAS",),
             }
         }
     
@@ -195,10 +195,10 @@ class SoftT2IAdapterWeights:
     CATEGORY = "Adv-ControlNet 🛂🅐🅒🅝/weights/T2IAdapter"
 
     def load_weights(self, weight_00, weight_01, weight_02, weight_03, flip_weights,
-                     uncond_multiplier: float=1.0, extras: dict[str]={}):
+                     uncond_multiplier: float=1.0, cn_extras: dict[str]={}):
         weights = [weight_00, weight_01, weight_02, weight_03]
         weights = get_properly_arranged_t2i_weights(weights)
-        weights = ControlWeights.t2iadapter(weights, flip_weights=flip_weights, uncond_multiplier=uncond_multiplier, extras=extras)
+        weights = ControlWeights.t2iadapter(weights, flip_weights=flip_weights, uncond_multiplier=uncond_multiplier, extras=cn_extras)
         return (weights, TimestepKeyframeGroup.default(TimestepKeyframe(control_weights=weights)))
 
 
@@ -215,7 +215,7 @@ class CustomT2IAdapterWeights:
             },
             "optional": {
                 "uncond_multiplier": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01}, ),
-                "extras": ("CN_WEIGHTS_EXTRAS",),
+                "cn_extras": ("CN_WEIGHTS_EXTRAS",),
             }
         }
     
@@ -226,8 +226,8 @@ class CustomT2IAdapterWeights:
     CATEGORY = "Adv-ControlNet 🛂🅐🅒🅝/weights/T2IAdapter"
 
     def load_weights(self, weight_00, weight_01, weight_02, weight_03, flip_weights,
-                     uncond_multiplier: float=1.0, extras: dict[str]={}):
+                     uncond_multiplier: float=1.0, cn_extras: dict[str]={}):
         weights = [weight_00, weight_01, weight_02, weight_03]
         weights = get_properly_arranged_t2i_weights(weights)
-        weights = ControlWeights.t2iadapter(weights, flip_weights=flip_weights, uncond_multiplier=uncond_multiplier, extras=extras)
+        weights = ControlWeights.t2iadapter(weights, flip_weights=flip_weights, uncond_multiplier=uncond_multiplier, extras=cn_extras)
         return (weights, TimestepKeyframeGroup.default(TimestepKeyframe(control_weights=weights)))