diff --git a/models/Model_RecycleGAN/Model.py b/models/Model_RecycleGAN/Model.py
index 0bb6ee8..8e14d71 100644
--- a/models/Model_RecycleGAN/Model.py
+++ b/models/Model_RecycleGAN/Model.py
@@ -185,17 +185,17 @@ class RecycleGANModel(ModelBase):
         
         if self.is_training_mode:
             t = SampleProcessor.Types
-            output_sample_types=[ { 'types': (t.IMG_SOURCE, t.MODE_BGR), 'resolution':resolution} ]
+            output_sample_types=[ { 'types': (t.IMG_SOURCE, t.MODE_BGR), 'resolution':resolution, 'normalize_tanh' : True} ]
                                   
             self.set_training_data_generators ([            
                     SampleGeneratorImageTemporal(self.training_data_src_path, debug=self.is_debug(), batch_size=self.batch_size, 
                         temporal_image_count=3,
-                        sample_process_options=SampleProcessor.Options(random_flip = False, normalize_tanh = True), 
+                        sample_process_options=SampleProcessor.Options(random_flip = False), 
                         output_sample_types=output_sample_types ),
                         
                     SampleGeneratorImageTemporal(self.training_data_dst_path, debug=self.is_debug(), batch_size=self.batch_size, 
                         temporal_image_count=3,
-                        sample_process_options=SampleProcessor.Options(random_flip = False, normalize_tanh = True), 
+                        sample_process_options=SampleProcessor.Options(random_flip = False), 
                         output_sample_types=output_sample_types ),
                    ])
         else:
diff --git a/samplelib/SampleProcessor.py b/samplelib/SampleProcessor.py
index 63dc9ed..6d8ecf9 100644
--- a/samplelib/SampleProcessor.py
+++ b/samplelib/SampleProcessor.py
@@ -36,10 +36,9 @@ opts:
             'MODE_BGR_SHUFFLE' #BGR shuffle
 
     'resolution' : N
-
     'motion_blur' : (chance_int, range) - chance 0..100 to apply to face (not mask), and range [1..3] where 3 is highest power of motion blur
-
     'apply_ct' : bool
+    'normalize_tanh' : bool
 
 """
 
@@ -74,9 +73,8 @@ class SampleProcessor(object):
 
     class Options(object):
 
-        def __init__(self, random_flip = True, normalize_tanh = False, rotation_range=[-10,10], scale_range=[-0.05, 0.05], tx_range=[-0.05, 0.05], ty_range=[-0.05, 0.05] ):
+        def __init__(self, random_flip = True, rotation_range=[-10,10], scale_range=[-0.05, 0.05], tx_range=[-0.05, 0.05], ty_range=[-0.05, 0.05] ):
             self.random_flip = random_flip
-            self.normalize_tanh = normalize_tanh
             self.rotation_range = rotation_range
             self.scale_range = scale_range
             self.tx_range = tx_range
@@ -118,6 +116,7 @@ class SampleProcessor(object):
             normalize_vgg = opts.get('normalize_vgg', False)
             motion_blur = opts.get('motion_blur', None)
             apply_ct = opts.get('apply_ct', False)
+            normalize_tanh = opts.get('normalize_tanh', False)
 
             img_type = SPTF.NONE
             target_face_type = SPTF.NONE
@@ -246,7 +245,7 @@ class SampleProcessor(object):
                     img = img_mask
 
                 if not debug:
-                    if sample_process_options.normalize_tanh:
+                    if normalize_tanh:
                         img = np.clip (img * 2.0 - 1.0, -1.0, 1.0)
                     else:
                         img = np.clip (img, 0.0, 1.0)