diff --git a/adv_control/nodes.py b/adv_control/nodes.py
index d335d42..30a58f0 100644
--- a/adv_control/nodes.py
+++ b/adv_control/nodes.py
@@ -7,15 +7,16 @@ from comfy.model_patcher import ModelPatcher
 
 from .control import load_controlnet, convert_to_advanced, is_advanced_controlnet, is_sd3_advanced_controlnet
 from .utils import ControlWeights, LatentKeyframeGroup, TimestepKeyframeGroup, AbstractPreprocWrapper, BIGMAX
-from .nodes_weight import (DefaultWeights, ScaledSoftMaskedUniversalWeights, ScaledSoftUniversalWeightsDeprecated, SoftControlNetWeightsDeprecated, CustomControlNetWeightsDeprecated,
-    SoftT2IAdapterWeightsDeprecated, CustomT2IAdapterWeightsDeprecated)
+from .nodes_weight import (DefaultWeights, ScaledSoftMaskedUniversalWeights, ScaledSoftUniversalWeightsDeprecated,
+                           SoftControlNetWeightsSD15, CustomControlNetWeightsSD15, SoftT2IAdapterWeights, CustomT2IAdapterWeights)
 from .nodes_keyframes import (LatentKeyframeGroupNode, LatentKeyframeInterpolationNode, LatentKeyframeBatchedGroupNode, LatentKeyframeNode,
                               TimestepKeyframeNode, TimestepKeyframeInterpolationNode, TimestepKeyframeFromStrengthListNode)
 from .nodes_sparsectrl import SparseCtrlMergedLoaderAdvanced, SparseCtrlLoaderAdvanced, SparseIndexMethodNode, SparseSpreadMethodNode, RgbSparseCtrlPreprocessor, SparseWeightExtras
 from .nodes_reference import ReferenceControlNetNode, ReferenceControlFinetune, ReferencePreprocessorNode
 from .nodes_plusplus import PlusPlusLoaderAdvanced, PlusPlusLoaderSingle, PlusPlusInputNode
 from .nodes_loosecontrol import ControlNetLoaderWithLoraAdvanced
-from .nodes_deprecated import LoadImagesFromDirectory
+from .nodes_deprecated import (LoadImagesFromDirectory, SoftControlNetWeightsDeprecated, CustomControlNetWeightsDeprecated, 
+                               SoftT2IAdapterWeightsDeprecated, CustomT2IAdapterWeightsDeprecated)
 from .logger import logger
 
 from .sampling import acn_sample_factory
@@ -245,10 +246,10 @@ NODE_CLASS_MAPPINGS = {
     # Weights
     "ScaledSoftControlNetWeights": ScaledSoftUniversalWeightsDeprecated,
     "ScaledSoftMaskedUniversalWeights": ScaledSoftMaskedUniversalWeights,
-    "SoftControlNetWeights": SoftControlNetWeightsDeprecated,
-    "CustomControlNetWeights": CustomControlNetWeightsDeprecated,
-    "SoftT2IAdapterWeights": SoftT2IAdapterWeightsDeprecated,
-    "CustomT2IAdapterWeights": CustomT2IAdapterWeightsDeprecated,
+    "ACN_SoftControlNetWeightsSD15": SoftControlNetWeightsSD15,
+    "ACN_CustomControlNetWeightsSD15": CustomControlNetWeightsSD15,
+    "ACN_SoftT2IAdapterWeights": SoftT2IAdapterWeights,
+    "ACN_CustomT2IAdapterWeights": CustomT2IAdapterWeights,
     "ACN_DefaultUniversalWeights": DefaultWeights,
     # SparseCtrl
     "ACN_SparseCtrlRGBPreprocessor": RgbSparseCtrlPreprocessor,
@@ -269,6 +270,10 @@ NODE_CLASS_MAPPINGS = {
     #"ACN_ControlNetLoaderWithLoraAdvanced": ControlNetLoaderWithLoraAdvanced,
     # Deprecated
     "LoadImagesFromDirectory": LoadImagesFromDirectory,
+    "SoftControlNetWeights": SoftControlNetWeightsDeprecated,
+    "CustomControlNetWeights": CustomControlNetWeightsDeprecated,
+    "SoftT2IAdapterWeights": SoftT2IAdapterWeightsDeprecated,
+    "CustomT2IAdapterWeights": CustomT2IAdapterWeightsDeprecated,
 }
 
 NODE_DISPLAY_NAME_MAPPINGS = {
@@ -289,10 +294,10 @@ NODE_DISPLAY_NAME_MAPPINGS = {
     # Weights
     "ScaledSoftControlNetWeights": "Scaled Soft Weights 🛂🅐🅒🅝",
     "ScaledSoftMaskedUniversalWeights": "Scaled Soft Masked Weights 🛂🅐🅒🅝",
-    "SoftControlNetWeights": "ControlNet Soft Weights 🛂🅐🅒🅝",
-    "CustomControlNetWeights": "ControlNet Custom Weights 🛂🅐🅒🅝",
-    "SoftT2IAdapterWeights": "T2IAdapter Soft Weights 🛂🅐🅒🅝",
-    "CustomT2IAdapterWeights": "T2IAdapter Custom Weights 🛂🅐🅒🅝",
+    "ACN_SoftControlNetWeightsSD15": "ControlNet Soft Weights [SD1.5] 🛂🅐🅒🅝",
+    "ACN_CustomControlNetWeightsSD15": "ControlNet Custom Weights [SD1.5] 🛂🅐🅒🅝",
+    "ACN_SoftT2IAdapterWeights": "T2IAdapter Soft Weights 🛂🅐🅒🅝",
+    "ACN_CustomT2IAdapterWeights": "T2IAdapter Custom Weights 🛂🅐🅒🅝",
     "ACN_DefaultUniversalWeights": "Default Weights 🛂🅐🅒🅝",
     # SparseCtrl
     "ACN_SparseCtrlRGBPreprocessor": "RGB SparseCtrl 🛂🅐🅒🅝",
@@ -313,4 +318,8 @@ NODE_DISPLAY_NAME_MAPPINGS = {
     #"ACN_ControlNetLoaderWithLoraAdvanced": "Load Adv. ControlNet Model w/ LoRA 🛂🅐🅒🅝",
     # Deprecated
     "LoadImagesFromDirectory": "🚫Load Images [DEPRECATED] 🛂🅐🅒🅝",
+    "SoftControlNetWeights": "ControlNet Soft Weights 🛂🅐🅒🅝",
+    "CustomControlNetWeights": "ControlNet Custom Weights 🛂🅐🅒🅝",
+    "SoftT2IAdapterWeights": "T2IAdapter Soft Weights 🛂🅐🅒🅝",
+    "CustomT2IAdapterWeights": "T2IAdapter Custom Weights 🛂🅐🅒🅝",
 }
diff --git a/adv_control/nodes_deprecated.py b/adv_control/nodes_deprecated.py
index bd98607..64b7675 100644
--- a/adv_control/nodes_deprecated.py
+++ b/adv_control/nodes_deprecated.py
@@ -4,7 +4,7 @@ import torch
 
 import numpy as np
 from PIL import Image, ImageOps
-from .utils import BIGMAX
+from .utils import BIGMAX, ControlWeights, TimestepKeyframeGroup, TimestepKeyframe, get_properly_arranged_t2i_weights
 from .logger import logger
 
 
@@ -69,3 +69,158 @@ class LoadImagesFromDirectory:
             raise FileNotFoundError(f"No images could be loaded from directory '{directory}'.")
 
         return (torch.cat(images, dim=0), torch.stack(masks, dim=0), image_count)
+
+
+class SoftControlNetWeightsDeprecated:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "weight_00": ("FLOAT", {"default": 0.09941396206337118, "min": 0.0, "max": 10.0, "step": 0.001}, ),
+                "weight_01": ("FLOAT", {"default": 0.12050177219802567, "min": 0.0, "max": 10.0, "step": 0.001}, ),
+                "weight_02": ("FLOAT", {"default": 0.14606275417942507, "min": 0.0, "max": 10.0, "step": 0.001}, ),
+                "weight_03": ("FLOAT", {"default": 0.17704576264172736, "min": 0.0, "max": 10.0, "step": 0.001}, ),
+                "weight_04": ("FLOAT", {"default": 0.214600924414215, "min": 0.0, "max": 10.0, "step": 0.001}, ),
+                "weight_05": ("FLOAT", {"default": 0.26012233262329093, "min": 0.0, "max": 10.0, "step": 0.001}, ),
+                "weight_06": ("FLOAT", {"default": 0.3152997971191405, "min": 0.0, "max": 10.0, "step": 0.001}, ),
+                "weight_07": ("FLOAT", {"default": 0.3821815722656249, "min": 0.0, "max": 10.0, "step": 0.001}, ),
+                "weight_08": ("FLOAT", {"default": 0.4632503906249999, "min": 0.0, "max": 10.0, "step": 0.001}, ),
+                "weight_09": ("FLOAT", {"default": 0.561515625, "min": 0.0, "max": 10.0, "step": 0.001}, ),
+                "weight_10": ("FLOAT", {"default": 0.6806249999999999, "min": 0.0, "max": 10.0, "step": 0.001}, ),
+                "weight_11": ("FLOAT", {"default": 0.825, "min": 0.0, "max": 10.0, "step": 0.001}, ),
+                "weight_12": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.001}, ),
+                "flip_weights": ("BOOLEAN", {"default": False}),
+            },
+            "optional": {
+                "uncond_multiplier": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01}, ),
+                "cn_extras": ("CN_WEIGHTS_EXTRAS",),
+                "autosize": ("ACNAUTOSIZE", {"padding": 0}),
+            }
+        }
+    
+    DEPRECATED = True
+    RETURN_TYPES = ("CONTROL_NET_WEIGHTS", "TIMESTEP_KEYFRAME",)
+    RETURN_NAMES = ("CN_WEIGHTS", "TK_SHORTCUT")
+    FUNCTION = "load_weights"
+
+    CATEGORY = "Adv-ControlNet 🛂🅐🅒🅝/weights/ControlNet"
+
+    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, cn_extras: dict[str]={}):
+        weights_output = [weight_00, weight_01, weight_02, weight_03, weight_04, weight_05, weight_06, 
+                   weight_07, weight_08, weight_09, weight_10, weight_11]
+        weights_middle = [weight_12]
+        weights = ControlWeights.controlnet(weights_output=weights_output, weights_middle=weights_middle, uncond_multiplier=uncond_multiplier, extras=cn_extras)
+        return (weights, TimestepKeyframeGroup.default(TimestepKeyframe(control_weights=weights)))
+
+
+class CustomControlNetWeightsDeprecated:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "weight_00": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.001}, ),
+                "weight_01": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.001}, ),
+                "weight_02": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.001}, ),
+                "weight_03": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.001}, ),
+                "weight_04": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.001}, ),
+                "weight_05": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.001}, ),
+                "weight_06": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.001}, ),
+                "weight_07": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.001}, ),
+                "weight_08": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.001}, ),
+                "weight_09": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.001}, ),
+                "weight_10": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.001}, ),
+                "weight_11": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.001}, ),
+                "weight_12": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.001}, ),
+                "flip_weights": ("BOOLEAN", {"default": False}),
+            },
+            "optional": {
+                "uncond_multiplier": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01}, ),
+                "cn_extras": ("CN_WEIGHTS_EXTRAS",),
+                "autosize": ("ACNAUTOSIZE", {"padding": 0}),
+            }
+        }
+    
+    DEPRECATED = True
+    RETURN_TYPES = ("CONTROL_NET_WEIGHTS", "TIMESTEP_KEYFRAME",)
+    RETURN_NAMES = ("CN_WEIGHTS", "TK_SHORTCUT")
+    FUNCTION = "load_weights"
+
+    CATEGORY = "Adv-ControlNet 🛂🅐🅒🅝/weights/ControlNet"
+
+    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, cn_extras: dict[str]={}):
+        weights_output = [weight_00, weight_01, weight_02, weight_03, weight_04, weight_05, weight_06, 
+                   weight_07, weight_08, weight_09, weight_10, weight_11]
+        weights_middle = [weight_12]
+        weights = ControlWeights.controlnet(weights_output=weights_output, weights_middle=weights_middle, uncond_multiplier=uncond_multiplier, extras=cn_extras)
+        return (weights, TimestepKeyframeGroup.default(TimestepKeyframe(control_weights=weights)))
+
+
+
+class SoftT2IAdapterWeightsDeprecated:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "weight_00": ("FLOAT", {"default": 0.25, "min": 0.0, "max": 10.0, "step": 0.001}, ),
+                "weight_01": ("FLOAT", {"default": 0.62, "min": 0.0, "max": 10.0, "step": 0.001}, ),
+                "weight_02": ("FLOAT", {"default": 0.825, "min": 0.0, "max": 10.0, "step": 0.001}, ),
+                "weight_03": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.001}, ),
+                "flip_weights": ("BOOLEAN", {"default": False}),
+            },
+            "optional": {
+                "uncond_multiplier": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01}, ),
+                "cn_extras": ("CN_WEIGHTS_EXTRAS",),
+                "autosize": ("ACNAUTOSIZE", {"padding": 0}),
+            }
+        }
+    
+    DEPRECATED = True
+    RETURN_TYPES = ("CONTROL_NET_WEIGHTS", "TIMESTEP_KEYFRAME",)
+    RETURN_NAMES = ("CN_WEIGHTS", "TK_SHORTCUT")
+    FUNCTION = "load_weights"
+
+    CATEGORY = "Adv-ControlNet 🛂🅐🅒🅝/weights/T2IAdapter"
+
+    def load_weights(self, weight_00, weight_01, weight_02, weight_03, flip_weights,
+                     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_input=weights, uncond_multiplier=uncond_multiplier, extras=cn_extras)
+        return (weights, TimestepKeyframeGroup.default(TimestepKeyframe(control_weights=weights)))
+
+
+class CustomT2IAdapterWeightsDeprecated:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "weight_00": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.001}, ),
+                "weight_01": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.001}, ),
+                "weight_02": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.001}, ),
+                "weight_03": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.001}, ),
+                "flip_weights": ("BOOLEAN", {"default": False}),
+            },
+            "optional": {
+                "uncond_multiplier": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01}, ),
+                "cn_extras": ("CN_WEIGHTS_EXTRAS",),
+                "autosize": ("ACNAUTOSIZE", {"padding": 0}),
+            }
+        }
+    
+    DEPRECATED = True
+    RETURN_TYPES = ("CONTROL_NET_WEIGHTS", "TIMESTEP_KEYFRAME",)
+    RETURN_NAMES = ("CN_WEIGHTS", "TK_SHORTCUT")
+    FUNCTION = "load_weights"
+
+    CATEGORY = "Adv-ControlNet 🛂🅐🅒🅝/weights/T2IAdapter"
+
+    def load_weights(self, weight_00, weight_01, weight_02, weight_03, flip_weights,
+                     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_input=weights, uncond_multiplier=uncond_multiplier, extras=cn_extras)
+        return (weights, TimestepKeyframeGroup.default(TimestepKeyframe(control_weights=weights)))
diff --git a/adv_control/nodes_weight.py b/adv_control/nodes_weight.py
index 85f2af7..1f74cdc 100644
--- a/adv_control/nodes_weight.py
+++ b/adv_control/nodes_weight.py
@@ -92,25 +92,24 @@ class ScaledSoftUniversalWeightsDeprecated:
         return (weights, TimestepKeyframeGroup.default(TimestepKeyframe(control_weights=weights)))
 
 
-class SoftControlNetWeightsDeprecated:
+class SoftControlNetWeightsSD15:
     @classmethod
     def INPUT_TYPES(s):
         return {
             "required": {
-                "weight_00": ("FLOAT", {"default": 0.09941396206337118, "min": 0.0, "max": 10.0, "step": 0.001}, ),
-                "weight_01": ("FLOAT", {"default": 0.12050177219802567, "min": 0.0, "max": 10.0, "step": 0.001}, ),
-                "weight_02": ("FLOAT", {"default": 0.14606275417942507, "min": 0.0, "max": 10.0, "step": 0.001}, ),
-                "weight_03": ("FLOAT", {"default": 0.17704576264172736, "min": 0.0, "max": 10.0, "step": 0.001}, ),
-                "weight_04": ("FLOAT", {"default": 0.214600924414215, "min": 0.0, "max": 10.0, "step": 0.001}, ),
-                "weight_05": ("FLOAT", {"default": 0.26012233262329093, "min": 0.0, "max": 10.0, "step": 0.001}, ),
-                "weight_06": ("FLOAT", {"default": 0.3152997971191405, "min": 0.0, "max": 10.0, "step": 0.001}, ),
-                "weight_07": ("FLOAT", {"default": 0.3821815722656249, "min": 0.0, "max": 10.0, "step": 0.001}, ),
-                "weight_08": ("FLOAT", {"default": 0.4632503906249999, "min": 0.0, "max": 10.0, "step": 0.001}, ),
-                "weight_09": ("FLOAT", {"default": 0.561515625, "min": 0.0, "max": 10.0, "step": 0.001}, ),
-                "weight_10": ("FLOAT", {"default": 0.6806249999999999, "min": 0.0, "max": 10.0, "step": 0.001}, ),
-                "weight_11": ("FLOAT", {"default": 0.825, "min": 0.0, "max": 10.0, "step": 0.001}, ),
-                "weight_12": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.001}, ),
-                "flip_weights": ("BOOLEAN", {"default": False}),
+                "output_0": ("FLOAT", {"default": 0.09941396206337118, "min": 0.0, "max": 10.0, "step": 0.001}, ),
+                "output_1": ("FLOAT", {"default": 0.12050177219802567, "min": 0.0, "max": 10.0, "step": 0.001}, ),
+                "output_2": ("FLOAT", {"default": 0.14606275417942507, "min": 0.0, "max": 10.0, "step": 0.001}, ),
+                "output_3": ("FLOAT", {"default": 0.17704576264172736, "min": 0.0, "max": 10.0, "step": 0.001}, ),
+                "output_4": ("FLOAT", {"default": 0.214600924414215, "min": 0.0, "max": 10.0, "step": 0.001}, ),
+                "output_5": ("FLOAT", {"default": 0.26012233262329093, "min": 0.0, "max": 10.0, "step": 0.001}, ),
+                "output_6": ("FLOAT", {"default": 0.3152997971191405, "min": 0.0, "max": 10.0, "step": 0.001}, ),
+                "output_7": ("FLOAT", {"default": 0.3821815722656249, "min": 0.0, "max": 10.0, "step": 0.001}, ),
+                "output_8": ("FLOAT", {"default": 0.4632503906249999, "min": 0.0, "max": 10.0, "step": 0.001}, ),
+                "output_9": ("FLOAT", {"default": 0.561515625, "min": 0.0, "max": 10.0, "step": 0.001}, ),
+                "output_10": ("FLOAT", {"default": 0.6806249999999999, "min": 0.0, "max": 10.0, "step": 0.001}, ),
+                "output_11": ("FLOAT", {"default": 0.825, "min": 0.0, "max": 10.0, "step": 0.001}, ),
+                "middle_0": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.001}, ),
             },
             "optional": {
                 "uncond_multiplier": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01}, ),
@@ -125,35 +124,34 @@ class SoftControlNetWeightsDeprecated:
 
     CATEGORY = "Adv-ControlNet 🛂🅐🅒🅝/weights/ControlNet"
 
-    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,
+    def load_weights(self, output_0, output_1, output_2, output_3, output_4, output_5, output_6, 
+                     output_7, output_8, output_9, output_10, output_11, middle_0,
                      uncond_multiplier: float=1.0, cn_extras: dict[str]={}):
-        weights_output = [weight_00, weight_01, weight_02, weight_03, weight_04, weight_05, weight_06, 
-                   weight_07, weight_08, weight_09, weight_10, weight_11]
-        weights_middle = [weight_12]
+        weights_output = [output_0, output_1, output_2, output_3, output_4, output_5, output_6,
+                          output_7, output_8, output_9, output_10, output_11]
+        weights_middle = [middle_0]
         weights = ControlWeights.controlnet(weights_output=weights_output, weights_middle=weights_middle, uncond_multiplier=uncond_multiplier, extras=cn_extras)
         return (weights, TimestepKeyframeGroup.default(TimestepKeyframe(control_weights=weights)))
 
 
-class CustomControlNetWeightsDeprecated:
+class CustomControlNetWeightsSD15:
     @classmethod
     def INPUT_TYPES(s):
         return {
             "required": {
-                "weight_00": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.001}, ),
-                "weight_01": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.001}, ),
-                "weight_02": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.001}, ),
-                "weight_03": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.001}, ),
-                "weight_04": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.001}, ),
-                "weight_05": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.001}, ),
-                "weight_06": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.001}, ),
-                "weight_07": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.001}, ),
-                "weight_08": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.001}, ),
-                "weight_09": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.001}, ),
-                "weight_10": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.001}, ),
-                "weight_11": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.001}, ),
-                "weight_12": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.001}, ),
-                "flip_weights": ("BOOLEAN", {"default": False}),
+                "output_0": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.001}, ),
+                "output_1": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.001}, ),
+                "output_2": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.001}, ),
+                "output_3": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.001}, ),
+                "output_4": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.001}, ),
+                "output_5": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.001}, ),
+                "output_6": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.001}, ),
+                "output_7": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.001}, ),
+                "output_8": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.001}, ),
+                "output_9": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.001}, ),
+                "output_10": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.001}, ),
+                "output_11": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.001}, ),
+                "middle_0": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.001}, ),
             },
             "optional": {
                 "uncond_multiplier": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01}, ),
@@ -168,26 +166,25 @@ class CustomControlNetWeightsDeprecated:
 
     CATEGORY = "Adv-ControlNet 🛂🅐🅒🅝/weights/ControlNet"
 
-    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,
+    def load_weights(self, output_0, output_1, output_2, output_3, output_4, output_5, output_6, 
+                     output_7, output_8, output_9, output_10, output_11, middle_0,
                      uncond_multiplier: float=1.0, cn_extras: dict[str]={}):
-        weights_output = [weight_00, weight_01, weight_02, weight_03, weight_04, weight_05, weight_06, 
-                   weight_07, weight_08, weight_09, weight_10, weight_11]
-        weights_middle = [weight_12]
+        weights_output = [output_0, output_1, output_2, output_3, output_4, output_5, output_6,
+                          output_7, output_8, output_9, output_10, output_11]
+        weights_middle = [middle_0]
         weights = ControlWeights.controlnet(weights_output=weights_output, weights_middle=weights_middle, uncond_multiplier=uncond_multiplier, extras=cn_extras)
         return (weights, TimestepKeyframeGroup.default(TimestepKeyframe(control_weights=weights)))
 
 
-class SoftT2IAdapterWeightsDeprecated:
+class SoftT2IAdapterWeights:
     @classmethod
     def INPUT_TYPES(s):
         return {
             "required": {
-                "weight_00": ("FLOAT", {"default": 0.25, "min": 0.0, "max": 10.0, "step": 0.001}, ),
-                "weight_01": ("FLOAT", {"default": 0.62, "min": 0.0, "max": 10.0, "step": 0.001}, ),
-                "weight_02": ("FLOAT", {"default": 0.825, "min": 0.0, "max": 10.0, "step": 0.001}, ),
-                "weight_03": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.001}, ),
-                "flip_weights": ("BOOLEAN", {"default": False}),
+                "input_0": ("FLOAT", {"default": 0.25, "min": 0.0, "max": 10.0, "step": 0.001}, ),
+                "input_1": ("FLOAT", {"default": 0.62, "min": 0.0, "max": 10.0, "step": 0.001}, ),
+                "input_2": ("FLOAT", {"default": 0.825, "min": 0.0, "max": 10.0, "step": 0.001}, ),
+                "input_3": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.001}, ),
             },
             "optional": {
                 "uncond_multiplier": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01}, ),
@@ -202,25 +199,23 @@ class SoftT2IAdapterWeightsDeprecated:
 
     CATEGORY = "Adv-ControlNet 🛂🅐🅒🅝/weights/T2IAdapter"
 
-    def load_weights(self, weight_00, weight_01, weight_02, weight_03, flip_weights,
+    def load_weights(self, input_0, input_1, input_2, input_3,
                      uncond_multiplier: float=1.0, cn_extras: dict[str]={}):
-        weights = [weight_00, weight_01, weight_02, weight_03]
+        weights = [input_0, input_1, input_2, input_3]
         weights = get_properly_arranged_t2i_weights(weights)
-        weights.reverse()  # to account for recent ComfyUI changes
         weights = ControlWeights.t2iadapter(weights_input=weights, uncond_multiplier=uncond_multiplier, extras=cn_extras)
         return (weights, TimestepKeyframeGroup.default(TimestepKeyframe(control_weights=weights)))
 
 
-class CustomT2IAdapterWeightsDeprecated:
+class CustomT2IAdapterWeights:
     @classmethod
     def INPUT_TYPES(s):
         return {
             "required": {
-                "weight_00": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.001}, ),
-                "weight_01": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.001}, ),
-                "weight_02": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.001}, ),
-                "weight_03": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.001}, ),
-                "flip_weights": ("BOOLEAN", {"default": False}),
+                "input_0": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.001}, ),
+                "input_1": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.001}, ),
+                "input_2": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.001}, ),
+                "input_3": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.001}, ),
             },
             "optional": {
                 "uncond_multiplier": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01}, ),
@@ -235,10 +230,9 @@ class CustomT2IAdapterWeightsDeprecated:
 
     CATEGORY = "Adv-ControlNet 🛂🅐🅒🅝/weights/T2IAdapter"
 
-    def load_weights(self, weight_00, weight_01, weight_02, weight_03, flip_weights,
+    def load_weights(self, input_0, input_1, input_2, input_3,
                      uncond_multiplier: float=1.0, cn_extras: dict[str]={}):
-        weights = [weight_00, weight_01, weight_02, weight_03]
+        weights = [input_0, input_1, input_2, input_3]
         weights = get_properly_arranged_t2i_weights(weights)
-        weights.reverse()  # to account for recent ComfyUI changes
         weights = ControlWeights.t2iadapter(weights_input=weights, uncond_multiplier=uncond_multiplier, extras=cn_extras)
         return (weights, TimestepKeyframeGroup.default(TimestepKeyframe(control_weights=weights)))
diff --git a/adv_control/utils.py b/adv_control/utils.py
index 300df73..6d252ce 100644
--- a/adv_control/utils.py
+++ b/adv_control/utils.py
@@ -184,7 +184,7 @@ class ControlWeights:
         if key == "middle":
             relevant_weights = self.weights_middle
         elif key == "input":
-            relevant_weights = self.weights_input
+            relevant_weights = list(reversed(self.weights_input))
         else:
             relevant_weights = self.weights_output
         if relevant_weights is None: