diff --git a/mainscripts/Trainer.py b/mainscripts/Trainer.py
index 839f374..ce9c1df 100644
--- a/mainscripts/Trainer.py
+++ b/mainscripts/Trainer.py
@@ -28,6 +28,7 @@ def trainerThread (s2c, c2s, e, args, device_args):
             save_interval_min = 15
             debug = args.get('debug', '')
             execute_programs = args.get('execute_programs', [])
+            no_preview = args.get('no_preview', False)
 
             if not training_data_src_path.exists():
                 io.log_err('Training data src directory does not exist.')
@@ -47,6 +48,7 @@ def trainerThread (s2c, c2s, e, args, device_args):
                         pretraining_data_path=pretraining_data_path,
                         is_training=True,
                         debug=debug,
+                        no_preview=no_preview,
                         device_args=device_args)
 
             is_reached_goal = model.is_reached_iter_goal()
diff --git a/models/ModelBase.py b/models/ModelBase.py
index c714e81..c7027d1 100644
--- a/models/ModelBase.py
+++ b/models/ModelBase.py
@@ -23,7 +23,7 @@ You can implement your own model. Check examples.
 class ModelBase(object):
 
 
-    def __init__(self, model_path, training_data_src_path=None, training_data_dst_path=None, pretraining_data_path=None, is_training=False, debug = False, device_args = None,
+    def __init__(self, model_path, training_data_src_path=None, training_data_dst_path=None, pretraining_data_path=None, is_training=False, debug = False, no_preview=False, device_args = None,
                  ask_enable_autobackup=True,
                  ask_write_preview_history=True,
                  ask_target_iter=True,
@@ -55,6 +55,7 @@ class ModelBase(object):
         self.pretraining_data_path = pretraining_data_path
 
         self.debug = debug
+        self.no_preview = no_preview
         self.is_training_mode = is_training
 
         self.iter = 0