diff --git a/pytorch3d/implicitron/models/visualization/render_flyaround.py b/pytorch3d/implicitron/models/visualization/render_flyaround.py
index a1634616..4d7c23fe 100644
--- a/pytorch3d/implicitron/models/visualization/render_flyaround.py
+++ b/pytorch3d/implicitron/models/visualization/render_flyaround.py
@@ -190,6 +190,7 @@ def render_flyaround(
                     sequence_name=batch.sequence_name[0],
                     viz=viz,
                     viz_env=visdom_environment,
+                    predicted_keys=visualize_preds_keys,
                 )
 
     logger.info(f"Exporting videos for sequence {sequence_name} ...")
@@ -202,6 +203,7 @@ def render_flyaround(
         video_path=output_video_path,
         resize=video_resize,
         video_frames_dir=output_video_frames_dir,
+        predicted_keys=visualize_preds_keys,
     )
 
 
@@ -338,10 +340,15 @@ def _generate_prediction_videos(
     # init a video writer for each predicted key
     vws = {}
     for k in predicted_keys:
+        cache_dir = (
+            None
+            if video_frames_dir is None
+            else os.path.join(video_frames_dir, f"{sequence_name}_{k}")
+        )
         vws[k] = VideoWriter(
             fps=fps,
             out_path=f"{video_path}_{sequence_name}_{k}.mp4",
-            cache_dir=os.path.join(video_frames_dir, f"{sequence_name}_{k}"),
+            cache_dir=cache_dir,
         )
 
     for rendered_pred in tqdm(preds):
diff --git a/tests/implicitron/test_model_visualize.py b/tests/implicitron/test_model_visualize.py
index 1815d678..2c9b1f9a 100644
--- a/tests/implicitron/test_model_visualize.py
+++ b/tests/implicitron/test_model_visualize.py
@@ -80,35 +80,36 @@ class TestModelVisualize(unittest.TestCase):
 
             os.makedirs(output_dir, exist_ok=True)
 
-            render_flyaround(
-                train_dataset,
-                show_sequence_name,
-                model,
-                video_path,
-                n_flyaround_poses=40,
-                fps=20,
-                max_angle=2 * math.pi,
-                trajectory_type="circular_lsq_fit",
-                trajectory_scale=1.1,
-                scene_center=(0.0, 0.0, 0.0),
-                up=(0.0, 1.0, 0.0),
-                traj_offset=1.0,
-                n_source_views=1,
-                visdom_show_preds=visdom_show_preds,
-                visdom_environment="test_model_visalize",
-                visdom_server="http://127.0.0.1",
-                visdom_port=8097,
-                num_workers=10,
-                seed=None,
-                video_resize=None,
-                visualize_preds_keys=[
-                    "images_render",
-                    "depths_render",
-                    "masks_render",
-                    "_all_source_images",
-                ],
-                output_video_frames_dir=video_path,
-            )
+            for output_video_frames_dir in [None, video_path]:
+                render_flyaround(
+                    train_dataset,
+                    show_sequence_name,
+                    model,
+                    video_path,
+                    n_flyaround_poses=10,
+                    fps=5,
+                    max_angle=2 * math.pi,
+                    trajectory_type="circular_lsq_fit",
+                    trajectory_scale=1.1,
+                    scene_center=(0.0, 0.0, 0.0),
+                    up=(0.0, 1.0, 0.0),
+                    traj_offset=1.0,
+                    n_source_views=1,
+                    visdom_show_preds=visdom_show_preds,
+                    visdom_environment="test_model_visalize",
+                    visdom_server="http://127.0.0.1",
+                    visdom_port=8097,
+                    num_workers=10,
+                    seed=None,
+                    video_resize=None,
+                    visualize_preds_keys=[
+                        "images_render",
+                        "depths_render",
+                        "masks_render",
+                        "_all_source_images",
+                    ],
+                    output_video_frames_dir=output_video_frames_dir,
+                )
 
 
 class _PointcloudRenderingModel(torch.nn.Module):