diff --git a/__init__.py b/__init__.py
index d444188..60acd07 100644
--- a/__init__.py
+++ b/__init__.py
@@ -101,6 +101,7 @@ NODE_CONFIG = {
     "VRAM_Debug": {"class": VRAM_Debug, "name": "VRAM Debug"},
     "SomethingToString": {"class": SomethingToString, "name": "Something To String"},
     "EmptyLatentImagePresets": {"class": EmptyLatentImagePresets, "name": "Empty Latent Image Presets"},
+    "EmptyLatentImageCustomPresets": {"class": EmptyLatentImageCustomPresets, "name": "Empty Latent Image Custom Presets"},
     "ModelPassThrough": {"class": ModelPassThrough, "name": "ModelPass"},
     #audioscheduler stuff
     "NormalizedAmplitudeToMask": {"class": NormalizedAmplitudeToMask},
diff --git a/custom_dimensions.json b/custom_dimensions.json
new file mode 100644
index 0000000..f06408d
--- /dev/null
+++ b/custom_dimensions.json
@@ -0,0 +1,12 @@
+[
+    "512x512",
+    "768x512",
+    "960x512",
+    "1024x512",
+    "1024x576",
+    "1536x640",
+    "1344x768",
+    "1216x832",
+    "1152x896",
+    "1024x1024"
+]
\ No newline at end of file
diff --git a/nodes/nodes.py b/nodes/nodes.py
index abdde3f..f5c92ee 100644
--- a/nodes/nodes.py
+++ b/nodes/nodes.py
@@ -708,7 +708,52 @@ class EmptyLatentImagePresets:
 
         return (latent, int(width), int(height),)
 
+class EmptyLatentImageCustomPresets:
+    @classmethod
+    def INPUT_TYPES(cls):
+        with open(os.path.join(script_directory, 'custom_dimensions.json')) as f:
+            dimensions = json.load(f)  
+        return {
+        "required": {
+            "dimensions": (
+                dimensions,
+            ),
+           
+            "invert": ("BOOLEAN", {"default": False}),
+            "batch_size": ("INT", {
+            "default": 1,
+            "min": 1,
+            "max": 4096
+            }),
+        },
+        }
 
+    RETURN_TYPES = ("LATENT", "INT", "INT")
+    RETURN_NAMES = ("Latent", "Width", "Height")
+    FUNCTION = "generate"
+    CATEGORY = "KJNodes"
+    DESCRIPTION = """
+Generates an empty latent image with the specified dimensions.  
+The choices are loaded from 'custom_dimensions.json' in the nodes folder.
+"""
+
+    def generate(self, dimensions, invert, batch_size):
+        from nodes import EmptyLatentImage
+        result = [x.strip() for x in dimensions.split('x')]
+
+        # Remove the aspect ratio part
+        result[0] = result[0].split('(')[0].strip()
+        result[1] = result[1].split('(')[0].strip()
+        
+        if invert:
+            width = int(result[1].split(' ')[0])
+            height = int(result[0])
+        else:
+            width = int(result[0])
+            height = int(result[1].split(' ')[0])
+        latent = EmptyLatentImage().generate(width, height, batch_size)[0]
+
+        return (latent, int(width), int(height),)
 
 class WidgetToString:
     @classmethod