diff --git a/README.md b/README.md
index 77671f9..47be1c3 100644
--- a/README.md
+++ b/README.md
@@ -1,4 +1,4 @@
-# Comfy UI Node Template
+# Save Uncompressed 16 Bit PNG
 This is a custom node for the Comfy UI stable diffusion client.
 
 ## Description
diff --git a/__init__.py b/__init__.py
index 63b01a0..9eddcdb 100644
--- a/__init__.py
+++ b/__init__.py
@@ -1,17 +1,27 @@
-import torch
-
 import os
 import sys
 import json
+import folder_paths
 
 sys.path.insert(0, os.path.join(os.path.dirname(os.path.realpath(__file__)), "comfy"))
 
-import folder_paths
 
 class SaveImageARGB16PNG:
+    """
+    A custom node for saving images in ARGB16 PNG format.
+
+    This node saves images with high-quality 16-bit precision and supports metadata embedding.
+    """
     def __init__(self):
-        import os
-        import json
+        """
+        Initializes the SaveImageARGB16PNG class.
+
+        Attempts to import the Pillow library for image handling. Sets up default parameters
+        like output directory and compression level.
+
+        Raises:
+            ImportError: If the Pillow library is not installed.
+        """
         try:
             from PIL import Image
             self.Image = Image
@@ -21,10 +31,16 @@ class SaveImageARGB16PNG:
         self.output_dir = folder_paths.get_output_directory()
         self.type = "output"
         self.prefix_append = ""
-        self.compress_level = 4
+        self.compress_level = 0
 
     @classmethod
     def INPUT_TYPES(cls):
+        """
+        Defines the input types required by the node.
+
+        Returns:
+            dict: A dictionary containing required and hidden inputs for the node.
+        """
         return {
             "required": {
                 "images": ("IMAGE",),
@@ -35,12 +51,24 @@ class SaveImageARGB16PNG:
             },
         }
 
-    RETURN_TYPES = ()
-    FUNCTION = "savepng"
-    OUTPUT_NODE = True
-    CATEGORY = "Marigold"
+    RETURN_TYPES = ()  # Specifies the return type of the node.
+    FUNCTION = "savepng"  # Defines the main function to execute.
+    OUTPUT_NODE = True  # Indicates this is an output node.
+    CATEGORY = "image"  # Specifies the category of the node.
 
     def savepng(self, images, filename_prefix="ComfyUI", prompt=None, extra_pnginfo=None):
+        """
+        Saves images in ARGB16 PNG format with optional metadata.
+
+        Args:
+            images (list): List of image tensors to be saved.
+            filename_prefix (str): Prefix for the output filenames.
+            prompt (str, optional): Metadata prompt to embed in the PNG files.
+            extra_pnginfo (dict, optional): Additional metadata as key-value pairs to embed in the PNG files.
+
+        Returns:
+            dict: A dictionary with UI-compatible information about the saved images.
+        """
         import numpy as np
         import os
         import re
@@ -53,16 +81,20 @@ class SaveImageARGB16PNG:
         results = []
 
         for batch_number, image in enumerate(images):
+            # Convert the image tensor to a numpy array and scale to 16-bit range.
             image_np = image.cpu().numpy()
-            image_np = (image_np * 65535).astype(np.uint16)  # Scale to 16-bit range
+            image_np = (image_np * 65535).astype(np.uint16)
 
+            # Determine the image mode based on the number of channels.
             if image_np.shape[-1] == 4:
                 mode = "RGBA"
             else:
                 mode = "RGB"
 
+            # Create a PIL Image object.
             image_pil = self.Image.fromarray(image_np, mode=mode)
 
+            # Add metadata to the PNG if provided.
             metadata = PngInfo()
             if prompt is not None:
                 metadata.add_text("prompt", json.dumps(prompt))
@@ -70,11 +102,14 @@ class SaveImageARGB16PNG:
                 for x in extra_pnginfo:
                     metadata.add_text(x, json.dumps(extra_pnginfo[x]))
 
+            # Generate the output filename.
             filename_with_batch_num = filename.replace("%batch_num%", str(batch_number))
             file = f"{filename_with_batch_num}_{counter:05}_.png"
 
+            # Save the image with metadata and specified compression level.
             image_pil.save(os.path.join(full_output_folder, file), format="PNG", compress_level=self.compress_level, pnginfo=metadata)
 
+            # Append file information to the results.
             results.append({
                 "filename": file,
                 "subfolder": subfolder,
@@ -84,10 +119,10 @@ class SaveImageARGB16PNG:
 
         return { "ui": { "images": results } }
 
-
 NODE_CLASS_MAPPINGS = {
     "SaveImageARGB16PNG": SaveImageARGB16PNG
 }
+
 NODE_DISPLAY_NAME_MAPPINGS = {
     "SaveImageARGB16PNG": "SaveImageARGB16PNG"
 }