diff --git a/classes/DataSet_SaveImagePro.py b/classes/DataSet_SaveImagePro.py
new file mode 100644
index 0000000..f655f47
--- /dev/null
+++ b/classes/DataSet_SaveImagePro.py
@@ -0,0 +1,83 @@
+import os
+import json
+import numpy as np
+from PIL import Image
+from PIL.PngImagePlugin import PngInfo
+from comfy.cli_args import args
+
+def save_images_with_metadata(image_tensors, names, destination, img_format='png', quality=95, disable_metadata=True, extra_pnginfo=None, prompt=None, compression=4):
+
+    if not os.path.exists(destination):
+        os.makedirs(destination)
+
+    for i, tensor in enumerate(image_tensors):
+        image = tensor.cpu().numpy()
+        if image.ndim == 4:
+            image = image[0]
+        if image.ndim == 3 and image.shape[0] == 1:
+            image = image[0]
+        image = (image * 255).astype(np.uint8)
+        img = Image.fromarray(image)
+        metadata = None
+        if not disable_metadata and img_format.lower() == 'png':
+            metadata = PngInfo()
+            if prompt is not None:
+                metadata.add_text("prompt", json.dumps(prompt))
+            if extra_pnginfo is not None and isinstance(extra_pnginfo, dict):
+                for key, value in extra_pnginfo.items():
+                    metadata.add_text(key, json.dumps(value))
+
+        img_name = f"{names[i]}.{img_format}"
+        img_path = os.path.join(destination, img_name)
+
+        if img_format.lower() in ['jpeg', 'jpg']:
+            img.save(img_path, format='jpeg', quality=quality)
+        elif img_format.lower() == 'png':
+            img.save(img_path, pnginfo=metadata, compress_level=compression)
+        else:
+            img.save(img_path, format=img_format.upper())
+
+
+class DataSet_SaveImagePro:
+
+    def __init__(self):
+        self.compression = 4
+
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "images": ("IMAGE",),
+                "names": ("STRING",),
+                "destination": ("STRING", {}),
+                "image_format": (['png', 'jpg'],),
+                "image_quality": ("INT", {"default": 100, "min": 1, "max": 100}),
+            },
+            "hidden": {"prompt": "PROMPT", "extra_pnginfo": "EXTRA_PNGINFO"},
+        }
+
+    INPUT_IS_LIST = True
+    RETURN_TYPES = ()
+    FUNCTION = "BatchSave"
+    OUTPUT_NODE = True
+    CATEGORY = "🔶DATASET🔶"
+
+    def BatchSave(self, images, names, destination, image_format, image_quality, prompt=None, extra_pnginfo=None):
+
+        try:
+            
+            save_images_with_metadata(images,names,destination[0],image_format[0],image_quality[0],False,extra_pnginfo,prompt,self.compression)
+
+        except Exception as e:
+            print(f"Error saving image: {e}")
+
+        return ()
+
+
+N_CLASS_MAPPINGS = {
+    "DataSet_SaveImagePro": DataSet_SaveImagePro,
+}
+
+N_DISPLAY_NAME_MAPPINGS = {
+    "DataSet_SaveImagePro": "DataSet_SaveImagePro",
+}