diff --git a/example_workflows/LLM Example.json b/example_workflows/LLM Example.json
index fb44e75..b7be3e4 100644
--- a/example_workflows/LLM Example.json	
+++ b/example_workflows/LLM Example.json	
@@ -1 +1 @@
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diff --git a/example_workflows/Pony to Wan Video Example.json b/example_workflows/Pony to Wan Video Example.json
index fdfa4df..d487683 100644
--- a/example_workflows/Pony to Wan Video Example.json	
+++ b/example_workflows/Pony to Wan Video Example.json	
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diff --git a/nodes/lora.py b/nodes/lora.py
index e0a6c31..b0feb87 100644
--- a/nodes/lora.py
+++ b/nodes/lora.py
@@ -14,7 +14,7 @@ from ..utils import (
     pull_metadata, get_recently_used_models, clean_keywords,
     get_civitai_model_json, get_latest_model_version, loaders
 )
-from ..utils.common import unwrap_tuple, get_model_types, load_model_component, load_lora_stack_with_keywords, load_lora_and_apply_shifts
+from ..utils.common import unwrap_tuple, get_model_types, load_model_component, load_lora_stack_with_keywords
 
 from ..utils import model_info as mi
 class Sage_LoraStack(ComfyNodeABC):
@@ -188,6 +188,7 @@ class Sage_LoraStackLoader(ComfyNodeABC):
     DESCRIPTION = "Accept a lora_stack with Model and Clip, and apply all the loras in the stack at once."
 
     def apply_model_shifts(self, model, model_shifts):
+        print(f"The model is {model}")
         if model_shifts is not None:
             if model_shifts["shift_type"] != "None":
                 multiplier = 0.0
@@ -208,14 +209,28 @@ class Sage_LoraStackLoader(ComfyNodeABC):
             
             if model_shifts["freeu_v2"] == True:
                 print("FreeU v2 is enabled, applying to model.")
-                model = nodes_freelunch.FreeU_V2.patch(None, model, model_shifts["b1"], model_shifts["b2"], model_shifts["s1"], model_shifts["s2"])[0]
+                print(f"model: {model}")
+                freeu = nodes_freelunch.FreeU_V2()
+                model = freeu.patch(model, model_shifts["b1"], model_shifts["b2"], model_shifts["s1"], model_shifts["s2"])[0]
         return model
 
     def load_lora_stack(self, model, clip, pbar, lora_stack):
         return load_lora_stack_with_keywords(model, clip, pbar, lora_stack)
 
     def load_lora_and_shift(self, model, clip, lora_stack=None, model_shifts=None) -> tuple:
-        return load_lora_and_apply_shifts(model, clip, lora_stack, model_shifts, self.apply_model_shifts)
+        keywords = ""
+        print(f"Model: {model}, Clip: {clip}, Lora Stack: {lora_stack}, Model Shifts: {model_shifts}")
+        stack_length = len(lora_stack) if lora_stack else 1
+        pbar = comfy.utils.ProgressBar(stack_length + 1)
+        print("Loading lora stack and applying shifts...")
+
+        model, clip, lora_stack_data, keywords = load_lora_stack_with_keywords(model, clip, pbar, lora_stack_data)
+        pbar.update(1)
+
+        if model_shifts is not None:
+            print(f"Applying model shifts: {model_shifts}")
+            model = self.apply_model_shifts(model, model_shifts)
+        return (model, clip, lora_stack_data, keywords)
 
 class Sage_ModelShifts(ComfyNodeABC):
     def __init__(self):
@@ -375,25 +390,34 @@ class Sage_ModelLoraStackLoader(Sage_LoraStackLoader):
         stack_length = len(lora_stack) if lora_stack else 1
         
         # Determine which model types are present
+        print(f"Model info: {model_info}")
         model_types = get_model_types(model_info)
-        total_operations = stack_length + sum(model_types.values())
+        print(f"Model types: {model_types}")
+        total_operations = stack_length + len(model_types)
         pbar = ProgressBar(total_operations)
         
         # Load checkpoint if present (provides model, clip, vae)
-        if model_types["CKPT"]:
-            ckpt_result = load_model_component(model_info, "CKPT", pbar)
+        if "CKPT" in model_types:
+            print("Loading checkpoint...")
+            ckpt_result = None
+            model, clip, vae = load_model_component(model_info, "CKPT", pbar)
             if ckpt_result:
                 model, clip, vae = ckpt_result
+            else:
+                print("No checkpoint found in model_info, skipping CKPT load.")
         
         # Load individual components (override checkpoint components if present)
-        if model_types["CLIP"]:
-            clip = load_model_component(model_info, "CLIP", pbar)
-        
-        if model_types["VAE"]:
-            vae = load_model_component(model_info, "VAE", pbar)
+        if "CLIP" in model_types:
+            print("Loading CLIP model...")
+            clip = unwrap_tuple(load_model_component(model_info, "CLIP", pbar))
 
-        if model_types["UNET"]:
-            model = load_model_component(model_info, "UNET", pbar)
+        if "VAE" in model_types:
+            print("Loading VAE model...")
+            vae = unwrap_tuple(load_model_component(model_info, "VAE", pbar))
+
+        if "UNET" in model_types:
+            print("Loading UNET model...")
+            model = unwrap_tuple(load_model_component(model_info, "UNET", pbar))
         
         # Apply LoRA stack
         print("Loading lora stack...")
@@ -407,9 +431,9 @@ class Sage_ModelLoraStackLoader(Sage_LoraStackLoader):
 
         # Unwrap any single-item tuples
         return (
-            unwrap_tuple(model),
-            unwrap_tuple(clip), 
-            unwrap_tuple(vae),
+            model,
+            clip,
+            vae,
             lora_stack, 
             keywords
         )
diff --git a/utils/common.py b/utils/common.py
index f064980..ddeb887 100644
--- a/utils/common.py
+++ b/utils/common.py
@@ -58,18 +58,22 @@ from .lora_stack import (
 )
 
 # Model loading utilities
-from .loaders import load_model_component, load_lora_stack_with_keywords, load_lora_and_apply_shifts
+from .loaders import load_model_component, load_lora_stack_with_keywords
 
 # Model info utilities - import function directly to avoid circular dependency
 def get_model_types(model_info):
     """Determine which model types are present in model_info."""
-    return {
-        model_type: any(
-            isinstance(info, dict) and info.get("type") == model_type 
-            for info in model_info
-        )
-        for model_type in ["CKPT", "UNET", "CLIP", "VAE"]
-    }
+    model_types = []
+
+    if not isinstance(model_info, tuple):
+        model_info = (model_info,)
+
+    for info in model_info:
+        print(f"Checking model info: {info}")
+        if isinstance(info, dict) and "type" in info:
+            print(f"Model type found: {info['type']}")
+            model_types.append(info["type"])
+    return model_types
 
 # Path and file management
 from .path_manager import path_manager, file_manager
@@ -123,7 +127,7 @@ __all__ = [
     'get_lora_keywords', 'get_lora_stack_keywords', 'add_lora_to_stack',
     
     # Model loading utilities
-    'load_model_component', 'get_model_types', 'load_lora_stack_with_keywords', 'load_lora_and_apply_shifts',
+    'load_model_component', 'get_model_types', 'load_lora_stack_with_keywords',
     
     # Core objects
     'path_manager', 'file_manager', 'cache', 'config_manager', 'llm',
diff --git a/utils/loaders.py b/utils/loaders.py
index 3d54cae..3b03b40 100644
--- a/utils/loaders.py
+++ b/utils/loaders.py
@@ -154,21 +154,6 @@ def load_lora_stack_with_keywords(model, clip, pbar, lora_stack_data):
         model, clip, lora_stack_data, keywords = lora_stack(model, clip, pbar, lora_stack_data)
     return (model, clip, lora_stack_data, keywords)
 
-def load_lora_and_apply_shifts(model, clip, lora_stack_data=None, model_shifts=None, apply_shifts_func=None):
-    """Load lora stack and apply model shifts."""
-    keywords = ""
-    stack_length = len(lora_stack_data) if lora_stack_data else 1
-    pbar = comfy.utils.ProgressBar(stack_length + 1)
-    
-    model, clip, lora_stack_data, keywords = load_lora_stack_with_keywords(model, clip, pbar, lora_stack_data)
-    pbar.update(1)
-    
-    if model_shifts is not None and apply_shifts_func is not None:
-        print(f"Applying model shifts: {model_shifts}")
-        model = apply_shifts_func(model, model_shifts)
-    
-    return (model, clip, lora_stack_data, keywords)
-
 def load_model_component(model_info, component_type, pbar = None):
     """Load a specific model component if present."""
     from . import model_info as mi  # Import here to avoid circular import