diff --git a/scripts/cvae_pyramid.py b/scripts/cvae_pyramid.py
index f4ca94b..48fbdc3 100644
--- a/scripts/cvae_pyramid.py
+++ b/scripts/cvae_pyramid.py
@@ -11,7 +11,7 @@ parser.add_argument('--debug', action='store_true')
 args = vars(parser.parse_args())
 
 if args['debug']:
-    from configs.iccvw.pyr_32 import config
+    from configs.iccvw.pyr_64_cape_m import config
 else:
     config_module = importlib.import_module(args['config'])
     config = config_module.config
@@ -549,7 +549,7 @@ def plot_everything(batch: dict, type: str):
         figs_coll = { type + "/garment_" + str(i) + '_collision': plot_3d_collision(collision_gt[i], collision[i], collision_fixed[i], collision_faces[i], collision_color[i]) for i in range(4) }
 
     batch_id = batch['id']
-    batch_frame_nr = batch['frame_nr'].cpu().numpy()
+    batch_frame_nr = batch['frame_nr']
     batch_garment = batch['garment']
     batch_info = [f'batch_info: id: {batch_id[i]}, frame_nr: {batch_frame_nr[i]}, garment: {batch_garment[i]}' for i in range(len(batch_id))]
     batch_info = text_to_html(batch_info)
@@ -855,7 +855,7 @@ if __name__ == '__main__':
 
     optimizer = optim.Adam(model.parameters(), lr=config['lr'])
     _MSSSIM = MS_SSIM(data_range=2, size_average=True, channel=3)
-    ckpt_saver = CheckpointSaver('checkpoints/iccv/torch/' + config['name'], top_n=5)
+    ckpt_saver = CheckpointSaver('checkpoints/iccvw/' + config['name'], top_n=5)
     scaler = torch.cuda.amp.GradScaler(enabled=use_amp)
 
     g_balancing_coeff = config['starting_balancing_coeff']