diff --git a/nodes/curve_nodes.py b/nodes/curve_nodes.py
index 0c81100..5ed3d9b 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, ImageFilter
+from PIL import Image, ImageDraw, ImageFont, ImageColor, ImageFilter, ImageChops
 import numpy as np
 from ..utility.utility import pil2tensor
 import folder_paths
@@ -364,16 +364,23 @@ Locations are center locations.
         },
         "optional": {
             "size_multiplier": ("FLOAT", {"default": [1.0], "forceInput": True}),
+            "trailing": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.01}),
         }
     } 
 
     def createshapemask(self, coordinates, frame_width, frame_height, shape_width, shape_height, shape_color, 
-                        bg_color, blur_radius, shape, intensity, size_multiplier=[1.0]):
+                        bg_color, blur_radius, shape, intensity, size_multiplier=[1.0], accumulate=False, trailing=1.0):
         # Define the number of images in the batch
-        coordinates = coordinates.replace("'", '"')
-        coordinates = json.loads(coordinates)
+        if len(coordinates) < 10:
+            coords_list = []
+            for coords in coordinates:
+                coords = json.loads(coords.replace("'", '"'))
+                coords_list.append(coords)
+        else:
+            coords = json.loads(coordinates.replace("'", '"'))
+            coords_list = [coords]
 
-        batch_size = len(coordinates)
+        batch_size = len(coords_list[0])
         images_list = []
         masks_list = []
 
@@ -381,39 +388,49 @@ Locations are center locations.
             size_multiplier = [0] * batch_size
         else:
             size_multiplier = size_multiplier * (batch_size // len(size_multiplier)) + size_multiplier[:batch_size % len(size_multiplier)]
-        for i, coord in enumerate(coordinates):
+
+        previous_output = None
+
+        for i in range(batch_size):
             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])
+            
+            for coords in coords_list:
+                location_x = coords[i]['x']
+                location_y = coords[i]['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]
 
-            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 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))
-
+            # Blend the current image with the accumulated image
+            
             image = pil2tensor(image)
+            if trailing != 1.0 and previous_output is not None:
+                # Add the decayed previous output to the current frame
+                image += trailing * previous_output
+                image = image / image.max()
+            previous_output = image
             image = image * intensity
             mask = image[:, :, :, 0]
             masks_list.append(mask)
diff --git a/nodes/nodes.py b/nodes/nodes.py
index 5e44635..65d449e 100644
--- a/nodes/nodes.py
+++ b/nodes/nodes.py
@@ -233,7 +233,12 @@ class AppendStringsToList:
     CATEGORY = "KJNodes/constants"
 
     def joinstring(self, string1, string2):
-        joined_string = [string1, string2]
+        if not isinstance(string1, list):
+            string1 = [string1]
+        if not isinstance(string2, list):
+            string2 = [string2]
+        
+        joined_string = string1 + string2
         return (joined_string, )
     
 class JoinStrings: