diff --git a/comfy_extras/nodes_remote_images.py b/comfy_extras/nodes_remote_images.py
index 32e5b3d55..8b12556b0 100644
--- a/comfy_extras/nodes_remote_images.py
+++ b/comfy_extras/nodes_remote_images.py
@@ -1,4 +1,8 @@
 import torch
+import os
+import json
+from io import BytesIO
+from base64 import b64encode
 from urllib import request
 from PIL import Image
 from PIL.PngImagePlugin import PngInfo
@@ -33,6 +37,62 @@ class LoadImageUrl:
             mask = torch.zeros((64,64), dtype=torch.float32, device="cpu")
         return (image, mask)
 
+class SaveImageUrl:
+    def __init__(self):
+        pass
+
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "images": ("IMAGE", ),
+                "url": ("STRING", { "multiline": False, }),
+                "filename_prefix": ("STRING", {"default": "ComfyUI"}),
+                "data_format": (["HTML_image", "Raw_data"],)
+            },
+            "hidden": {"prompt": "PROMPT", "extra_pnginfo": "EXTRA_PNGINFO"},
+        }
+
+    RETURN_TYPES = ()
+    OUTPUT_NODE = True
+    FUNCTION = "save_images"
+    CATEGORY = "image"
+    
+    def save_images(self, images, url, data_format, filename_prefix="ComfyUI", prompt=None, extra_pnginfo=None):
+        def compute_vars(input):
+            input = input.replace("%width%", str(images[0].shape[1]))
+            input = input.replace("%height%", str(images[0].shape[0]))
+            return input
+
+        filename = os.path.basename(os.path.normpath(filename_prefix))
+
+        counter = 1
+        files = dict()
+        for image in images:
+            i = 255. * image.cpu().numpy()
+            img = Image.fromarray(np.clip(i, 0, 255).astype(np.uint8))
+            metadata = PngInfo()
+            if prompt is not None:
+                metadata.add_text("prompt", json.dumps(prompt))
+            if extra_pnginfo is not None:
+                for x in extra_pnginfo:
+                    metadata.add_text(x, json.dumps(extra_pnginfo[x]))
+        
+            file = f"{filename}_{counter:05}.png"
+
+            buffer = BytesIO()
+            img.save(buffer, "png", pnginfo=metadata, compress_level=4)
+            buffer.seek(0)
+            encoded = b64encode(buffer.read()).decode('utf-8')
+            files[file] = f"data:image/png;base64,{encoded}" if data_format == "HTML_image" else encoded
+            counter += 1
+
+        data=bytes(json.dumps(files), encoding="utf-8")
+        r = request.Request(url, data=data, method="POST")
+        request.urlopen(r)
+        return ()
+
 NODE_CLASS_MAPPINGS = {
     "LoadImageUrl": LoadImageUrl,
+    "SaveImageUrl": SaveImageUrl,
 }