diff --git a/__init__.py b/__init__.py
new file mode 100644
index 0000000..3ff7b94
--- /dev/null
+++ b/__init__.py
@@ -0,0 +1,3 @@
+from .snake_oil import NODE_CLASS_MAPPINGS, NODE_DISPLAY_NAME_MAPPINGS
+
+__all__ = ['NODE_CLASS_MAPPINGS', 'NODE_DISPLAY_NAME_MAPPINGS']
\ No newline at end of file
diff --git a/snake_oil.py b/snake_oil.py
new file mode 100644
index 0000000..3af40b6
--- /dev/null
+++ b/snake_oil.py
@@ -0,0 +1,80 @@
+import os
+import torch
+import comfy.model_management
+import comfy.utils
+from comfy.sd import load_lora_for_models
+from safetensors.torch import load_file
+
+class SnakeOil:
+    def __init__(self):
+        self.loaded_lora = None
+
+    @classmethod
+    def INPUT_TYPES(cls):
+        # Define the directory where LoRA models are stored using a relative path
+        lora_directory = os.path.join(os.path.dirname(__file__), "..", "..", "models", "nloras")
+        file_list = [f for f in os.listdir(lora_directory) if os.path.isfile(os.path.join(lora_directory, f))]
+        file_list.insert(0, "None")
+        return {
+            "required": {
+                "model": ("MODEL",),
+                "nlora": (file_list, {"label": "nLoRA Model", "description": "Select the nLoRA model to apply"}),
+                "snake_oil_amount": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 2.0, "step": 0.01, "display": "slider", "label": "Snake Oil Amount", "description": "Adjust the amount of Snake Oil to apply (0.0 to 2.0)"}),
+            },
+        }
+
+    RETURN_TYPES = ("MODEL",)
+    FUNCTION = "apply_snake_oil"
+    CATEGORY = "🐍🛢️ Snake Oil"
+
+    def apply_snake_oil(self, model, nlora, snake_oil_amount):
+        if snake_oil_amount == 0:
+            print("snake_oil_amount is 0, returning the original model.")
+            return (model,)
+
+        # Invert the snake_oil_amount value to its negative equivalent
+        snake_oil_amount = -snake_oil_amount
+        print(f"Inverted snake_oil_amount: {snake_oil_amount}")
+
+        # Define the directory where LoRA models are stored using a relative path
+        lora_directory = os.path.join(os.path.dirname(__file__), "..", "..", "models", "nloras")
+        lora_path = os.path.join(lora_directory, nlora)
+
+        print(f"Loading LoRA from: {lora_path}")
+
+        lora = None
+        if self.loaded_lora is not None:
+            if self.loaded_lora[0] == lora_path:
+                lora = self.loaded_lora[1]
+            else:
+                temp = self.loaded_lora
+                self.loaded_lora = None
+                del temp
+
+        if lora is None:
+            try:
+                lora = load_file(lora_path)
+                self.loaded_lora = (lora_path, lora)
+                print(f"Successfully loaded LoRA model from: {lora_path}")
+            except Exception as e:
+                print(f"Error loading LoRA model: {e}")
+                return (model,)
+
+        try:
+            model_lora, _ = load_lora_for_models(model, None, lora, snake_oil_amount, 0)
+            print(f"Successfully applied LoRA model with snake_oil_amount: {snake_oil_amount}")
+        except Exception as e:
+            print(f"Error applying LoRA model: {e}")
+            return (model,)
+
+        return (model_lora,)
+
+# A dictionary that contains all nodes you want to export with their names
+NODE_CLASS_MAPPINGS = {
+    "SnakeOil": SnakeOil
+}
+
+# A dictionary that contains the friendly/humanly readable titles for the nodes
+NODE_DISPLAY_NAME_MAPPINGS = {
+    "SnakeOil": "🐍🛢️ Snake Oil"
+}