diff --git a/__init__.py b/__init__.py
index 4b1f849..f47c110 100644
--- a/__init__.py
+++ b/__init__.py
@@ -101,6 +101,7 @@ NODE_CONFIG = {
     "ImageTransformByNormalizedAmplitude": {"class": ImageTransformByNormalizedAmplitude},
     #curve nodes
     "SplineEditor": {"class": SplineEditor, "name": "Spline Editor"},
+    "CreateShapeImageOnPath": {"class": CreateShapeImageOnPath, "name": "Create Shape Image On Path"},
     "CreateShapeMaskOnPath": {"class": CreateShapeMaskOnPath, "name": "Create Shape Mask On Path"},
     "CreateTextOnPath": {"class": CreateTextOnPath, "name": "Create Text On Path"},
     "CreateGradientFromCoords": {"class": CreateGradientFromCoords, "name": "Create Gradient From Coords"},
diff --git a/nodes/curve_nodes.py b/nodes/curve_nodes.py
index dea5c03..93112d6 100644
--- a/nodes/curve_nodes.py
+++ b/nodes/curve_nodes.py
@@ -1,7 +1,7 @@
 import torch
 from torchvision import transforms
 import json
-from PIL import Image, ImageDraw, ImageFont, ImageColor
+from PIL import Image, ImageDraw, ImageFont, ImageColor, ImageFilter
 import numpy as np
 from ..utility.utility import pil2tensor
 import folder_paths
@@ -302,6 +302,93 @@ Locations are center locations.
             out.append(mask)
         outstack = torch.cat(out, dim=0)
         return (outstack, 1.0 - outstack,)
+
+class CreateShapeImageOnPath:
+    
+    RETURN_TYPES = ("IMAGE", )
+    RETURN_NAMES = ("image", )
+    FUNCTION = "createshapemask"
+    CATEGORY = "KJNodes/image"
+    DESCRIPTION = """
+Creates an image or batch of images with the specified shape.  
+Locations are center locations.  
+"""
+
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "shape": (
+            [   'circle',
+                'square',
+                'triangle',
+            ],
+            {
+            "default": 'circle'
+             }),
+                "coordinates": ("STRING", {"forceInput": True}),
+                "frame_width": ("INT", {"default": 512,"min": 16, "max": 4096, "step": 1}),
+                "frame_height": ("INT", {"default": 512,"min": 16, "max": 4096, "step": 1}),
+                "shape_width": ("INT", {"default": 128,"min": 8, "max": 4096, "step": 1}),
+                "shape_height": ("INT", {"default": 128,"min": 8, "max": 4096, "step": 1}),
+                "shape_color": ("STRING", {"default": 'white'}),
+                "bg_color": ("STRING", {"default": 'black'}),
+                "blur_radius": ("FLOAT", {"default": 0.0, "min": 0.0, "max": 100, "step": 0.1}),
+                "intensity": ("FLOAT", {"default": 1.0, "min": 0.01, "max": 100.0, "step": 0.01}),
+        },
+        "optional": {
+            "size_multiplier": ("FLOAT", {"default": [1.0], "forceInput": True}),
+        }
+    } 
+
+    def createshapemask(self, coordinates, frame_width, frame_height, shape_width, shape_height, shape_color, 
+                        bg_color, blur_radius, shape, intensity, size_multiplier=[1.0]):
+        # Define the number of images in the batch
+        coordinates = coordinates.replace("'", '"')
+        coordinates = json.loads(coordinates)
+
+        batch_size = len(coordinates)
+        out = []
+
+        if len(size_multiplier) != batch_size:
+            size_multiplier = size_multiplier * (batch_size // len(size_multiplier)) + size_multiplier[:batch_size % len(size_multiplier)]
+        for i, coord in enumerate(coordinates):
+            image = Image.new("RGB", (frame_width, frame_height), bg_color)
+            draw = ImageDraw.Draw(image)
+
+            # Calculate the size for this frame and ensure it's not less than 0
+            current_width = max(0, shape_width + i * size_multiplier[i])
+            current_height = max(0, shape_height + i * size_multiplier[i])
+
+            location_x = coord['x']
+            location_y = coord['y']
+
+            if shape == 'circle' or shape == 'square':
+                # Define the bounding box for the shape
+                left_up_point = (location_x - current_width // 2, location_y - current_height // 2)
+                right_down_point = (location_x + current_width // 2, location_y + current_height // 2)
+                two_points = [left_up_point, right_down_point]
+
+                if shape == 'circle':
+                    draw.ellipse(two_points, fill=shape_color)
+                elif shape == 'square':
+                    draw.rectangle(two_points, fill=shape_color)
+                    
+            elif shape == 'triangle':
+                # Define the points for the triangle
+                left_up_point = (location_x - current_width // 2, location_y + current_height // 2) # bottom left
+                right_down_point = (location_x + current_width // 2, location_y + current_height // 2) # bottom right
+                top_point = (location_x, location_y - current_height // 2) # top point
+                draw.polygon([top_point, left_up_point, right_down_point], fill=shape_color)
+
+            if blur_radius != 0:
+                    image = image.filter(ImageFilter.GaussianBlur(blur_radius))
+
+            image = pil2tensor(image)
+            image = image * intensity
+            out.append(image)
+        outstack = torch.cat(out, dim=0)
+        return (outstack,)
     
 class CreateTextOnPath: