diff --git a/huggingface/HF/NN/CInterpolantVisualization.py b/huggingface/HF/NN/CInterpolantVisualization.py
index 1a0cac1..6b872e2 100644
--- a/huggingface/HF/NN/CInterpolantVisualization.py
+++ b/huggingface/HF/NN/CInterpolantVisualization.py
@@ -1,4 +1,5 @@
 import hashlib, json, os, time, glob, sys
+import tensorflow as tf
 import numpy as np
 import math
 import imageio
@@ -358,10 +359,11 @@ def _process(self,
   def _blurred(self,
     VT_fps, VT_seed, VT_initialValues, VT_resolution,
     VT_maxBlurRadius, VT_blurSteps,
+    targetResolution, # replace the target resolution with the VT_resolution
     **kwargs
   ):
     VT_resolution = int(VT_resolution)
-    assert 64 <= VT_resolution <= 512, 'Unexpected resolution'
+    assert 128 <= VT_resolution <= 512, 'Unexpected resolution'
     videoFileName = self._generateFilename(
       VT_fps=VT_fps, VT_seed=VT_seed, VT_initialValues=VT_initialValues, 
       VT_resolution=VT_resolution, VT_maxBlurRadius=VT_maxBlurRadius, VT_blurSteps=VT_blurSteps,
@@ -369,6 +371,7 @@ def _blurred(self,
     )
 
     blurRadius = np.linspace(0.0, float(VT_maxBlurRadius), int(VT_blurSteps))[::-1]
+    blurRadius = blurRadius.astype(np.float32)
     initialValues = self._initialValuesFor(
       initialValues=VT_initialValues, seed=VT_seed, N=VT_resolution ** 2
     )
@@ -421,7 +424,7 @@ def __call__(self,
     if VT_kind is None: return self._model(**kwargs)
     VT_seed = None if VT_seed < 0 else int(VT_seed)
     VT_fps = int(VT_fps)
-    assert VT_kind in ['trajectories', 'process'], f'Unexpected VT_kind: {VT_kind}'
+    assert VT_kind in ['trajectories', 'process', 'blurred'], f'Unexpected VT_kind: {VT_kind}'
     
     if VT_kind == 'trajectories':
       return self._trajectories(
diff --git a/huggingface/HF/UI/areas/visualizeArea.py b/huggingface/HF/UI/areas/visualizeArea.py
index 31dbb80..3f1ab0c 100644
--- a/huggingface/HF/UI/areas/visualizeArea.py
+++ b/huggingface/HF/UI/areas/visualizeArea.py
@@ -33,7 +33,7 @@ def imageArea(submit, parameters):
     Here you can visualize the image restoration process step by step.
     ''')
     VT_resolution = gr.Slider(
-      label='Resolution', value=64, minimum=8, maximum=512, step=1
+      label='Resolution', value=128, minimum=128, maximum=512, step=1
     )
     # Radio buttons for the displayed values. 'value' or 'x0
     VT_show = gr.Radio(
@@ -53,6 +53,34 @@ def imageArea(submit, parameters):
       **parameters,
       outputs={'video': video}
     )
+  return
+
+def blurVideoArea(submit, parameters):
+  with gr.Tab(label='Blurred'):
+    VT_resolution = gr.Slider(
+      label='Resolution', value=128, minimum=128, maximum=512, step=1
+    )
+    VT_maxBlurRadius = gr.Slider(
+      label='Max Blur Radius', value=8, minimum=1, maximum=100, step=1
+    )
+    VT_blurSteps = gr.Slider(
+      label='Blur Steps', value=10, minimum=1, maximum=100, step=1
+    )
+    button = gr.Button(value='Visualize')
+    video = gr.Video(label='Video', interactive=False)
+    # Hidden kind parameter
+    kind = gr.Textbox(label='Kind', value='blurred', visible=False)
+    # bind button
+    submit(
+      btn=button,
+      VT_kind=kind,
+      VT_resolution=VT_resolution,
+      VT_maxBlurRadius=VT_maxBlurRadius,
+      VT_blurSteps=VT_blurSteps,
+      **parameters,
+      outputs={'video': video}
+    )
+  return
 
 def visualizeArea(submit):
   with gr.Accordion('Visualize Area', open=False):
@@ -73,5 +101,6 @@ def visualizeArea(submit):
     )
     trajectoriesArea(submit, parameters)
     imageArea(submit, parameters)
+    blurVideoArea(submit, parameters)
     pass
   return
\ No newline at end of file