diff --git a/exps/LFNA/vis-synthetic.py b/exps/LFNA/vis-synthetic.py
index 4d5541f..5af99f6 100644
--- a/exps/LFNA/vis-synthetic.py
+++ b/exps/LFNA/vis-synthetic.py
@@ -37,7 +37,9 @@ def draw_multi_fig(save_dir, timestamp, scatter_list, wh, fig_title=None):
 
     fig = plt.figure(figsize=figsize)
     if fig_title is not None:
-        fig.suptitle(fig_title, fontsize=LegendFontsize)
+        fig.suptitle(
+            fig_title, fontsize=LegendFontsize, fontweight="bold", x=0.5, y=0.92
+        )
 
     for idx, scatter_dict in enumerate(scatter_list):
         cur_ax = fig.add_subplot(len(scatter_list), 1, idx + 1)
@@ -83,7 +85,7 @@ def compare_cl(save_dir):
     save_dir.mkdir(parents=True, exist_ok=True)
     dynamic_env, function = create_example_v1(
         # timestamp_config=dict(num=200, min_timestamp=-1, max_timestamp=1.0),
-        timestamp_config=None,
+        timestamp_config=dict(num=200),
         num_per_task=1000,
     )
 
@@ -107,16 +109,18 @@ def compare_cl(save_dir):
 
         # compute cl-min
         cl_xaxis_min = find_min(cl_xaxis_min, xaxis_all.mean() - xaxis_all.std())
-        cl_xaxis_max = (
-            find_max(cl_xaxis_max, xaxis_all.mean() + xaxis_all.std()) + idx * 0.1
-        )
+        cl_xaxis_max = find_max(cl_xaxis_max, xaxis_all.mean() + xaxis_all.std())
+        """
         cl_xaxis_all = np.arange(cl_xaxis_min, cl_xaxis_max, step=0.05)
-
         cl_yaxis_all = cl_function.noise_call(cl_xaxis_all)
         current_data["cl_xaxis_all"] = cl_xaxis_all
         current_data["cl_yaxis_all"] = cl_yaxis_all
+        """
         all_data[timestamp] = current_data
 
+    global_cl_xaxis_all = np.arange(cl_xaxis_min, cl_xaxis_max, step=0.1)
+    global_cl_yaxis_all = cl_function.noise_call(global_cl_xaxis_all)
+
     for idx, (timestamp, xdata) in enumerate(tqdm(all_data.items(), ncols=50)):
         scatter_list = []
         scatter_list.append(
@@ -124,7 +128,7 @@ def compare_cl(save_dir):
                 "xaxis": xdata["lfna_xaxis_all"],
                 "yaxis": xdata["lfna_yaxis_all"],
                 "color": "k",
-                "s": 10,
+                "s": 12,
                 "alpha": 0.99,
                 "xlim": (-6, 6),
                 "ylim": (-40, 40),
@@ -132,17 +136,21 @@ def compare_cl(save_dir):
             }
         )
 
-        cl_xaxis_all = current_data["cl_xaxis_all"]
-        cl_yaxis_all = current_data["cl_yaxis_all"]
+        cur_cl_xaxis_min = cl_xaxis_min
+        cur_cl_xaxis_max = cl_xaxis_min + (cl_xaxis_max - cl_xaxis_min) * (
+            idx + 1
+        ) / len(all_data)
+        cl_xaxis_all = np.arange(cur_cl_xaxis_min, cur_cl_xaxis_max, step=0.01)
+        cl_yaxis_all = cl_function.noise_call(cl_xaxis_all, std=0.2)
 
         scatter_list.append(
             {
                 "xaxis": cl_xaxis_all,
                 "yaxis": cl_yaxis_all,
-                "color": "r",
-                "s": 10,
-                "xlim": (round(cl_xaxis_all.min(), 1), round(cl_xaxis_all.max(), 1)),
-                "ylim": (round(cl_xaxis_all.min(), 1), round(cl_yaxis_all.max(), 1)),
+                "color": "k",
+                "s": 12,
+                "xlim": (round(cl_xaxis_min, 1), round(cl_xaxis_max, 1)),
+                "ylim": (-18, 2),
                 "alpha": 0.99,
                 "label": "Continual Learning",
             }
@@ -152,18 +160,20 @@ def compare_cl(save_dir):
             save_dir,
             idx,
             scatter_list,
-            wh=(2000, 1300),
+            wh=(2200, 1800),
             fig_title="Timestamp={:03d}".format(idx),
         )
     print("Save all figures into {:}".format(save_dir))
     save_dir = save_dir.resolve()
     base_cmd = (
-        "ffmpeg -y -i {xdir}/%04d.png -vf fps=2 -vf scale=2000:1300 -vb 5000k".format(
+        "ffmpeg -y -i {xdir}/%04d.png -vf fps=1 -vf scale=2200:1800 -vb 5000k".format(
             xdir=save_dir
         )
     )
-    os.system("{:} -pix_fmt yuv420p {xdir}/vis.mp4".format(base_cmd, xdir=save_dir))
-    os.system("{:} -c:a libvorbis {xdir}/vis.webm".format(base_cmd, xdir=save_dir))
+    video_cmd = "{:} -pix_fmt yuv420p {xdir}/vis.mp4".format(base_cmd, xdir=save_dir)
+    print(video_cmd + "\n")
+    os.system(video_cmd)
+    # os.system("{:} {xdir}/vis.webm".format(base_cmd, xdir=save_dir))
 
 
 if __name__ == "__main__":