diff --git a/nodes/curve_nodes.py b/nodes/curve_nodes.py
index b1568a8..c48e672 100644
--- a/nodes/curve_nodes.py
+++ b/nodes/curve_nodes.py
@@ -554,7 +554,7 @@ bounding boxes.
 
             for i in range(batch_size):
                 x_position, y_position = coordinates[i]
-                position_param = (cond_pooled, int((height // 8) * size_multiplier[i]), int((width // 8) * size_multiplier[i]), y_position // 8, x_position // 8)
+                position_param = (cond_pooled, int((height // 8) * size_multiplier[i]), int((width // 8) * size_multiplier[i]), (y_position - height / 2) // 8, (x_position - width / 2) // 8)
                 position_params_batch[i].append(position_param)  # Append position_param to the correct sublist
 
             prev = []
@@ -570,11 +570,11 @@ bounding boxes.
 
         image_height = latents['samples'].shape[-2] * 8
         image_width = latents['samples'].shape[-1] * 8
-        plot_image_tensor = self.plot_coordinates_to_tensor(coordinates, image_height, image_width, height, size_multiplier, text)
+        plot_image_tensor = self.plot_coordinates_to_tensor(coordinates, image_height, image_width, height, width, size_multiplier, text)
         
         return (c, plot_image_tensor,)
     
-    def plot_coordinates_to_tensor(self, coordinates, height, width, bbox_height, size_multiplier, prompt):
+    def plot_coordinates_to_tensor(self, coordinates, height, width, bbox_height, bbox_width, size_multiplier, prompt):
         import matplotlib
         matplotlib.use('Agg')
         from matplotlib.backends.backend_agg import FigureCanvasAgg as FigureCanvas
@@ -606,8 +606,9 @@ bounding boxes.
         for i, ((x, y), size) in enumerate(zip(coordinates, size_multiplier)):
             color_index = i / (len(coordinates) - 1)
             color = cmap(color_index)
-            box_size = bbox_height * size
-            rect = matplotlib.patches.Rectangle((x - box_size/2, y - box_size/2), box_size, box_size,
+            draw_height = bbox_height * size
+            draw_width = bbox_width * size
+            rect = matplotlib.patches.Rectangle((x - draw_width/2, y - draw_height/2), draw_width, draw_height,
                                             linewidth=1, edgecolor=color, facecolor='none', alpha=0.5)
             ax.add_patch(rect)
 
@@ -620,7 +621,7 @@ bounding boxes.
                                             linestyle="-",
                                             lw=1,
                                             color=color,
-                                            mutation_scale=10))
+                                            mutation_scale=20))
             canvas.draw()
             image_np = np.frombuffer(canvas.tostring_rgb(), dtype='uint8').reshape(int(height), int(width), 3).copy()
             image_tensor = torch.from_numpy(image_np).float() / 255.0