diff --git a/models/Model_SAE/Model.py b/models/Model_SAE/Model.py
index 9bf8cd5..8941a08 100644
--- a/models/Model_SAE/Model.py
+++ b/models/Model_SAE/Model.py
@@ -124,7 +124,7 @@ class SAEModel(ModelBase):
 
             default_apply_random_ct = ColorTransferMode.NONE if is_first_run else self.options.get('apply_random_ct', ColorTransferMode.NONE)
             self.options['apply_random_ct'] = io.input_int(
-                "Apply random color transfer to src faceset? (0) None, (1) LCT, (2) RCT, (3) RCT-masked ?:help skip:%s) : " % (default_apply_random_ct),
+                "Apply random color transfer to src faceset? (0) None, (1) LCT, (2) RCT, (3) RCT-c, (4) RCT-p, (5) RCT-pc, (6) mRTC, (7) mRTC-c, (8) mRTC-p, (9) mRTC-pc ?:help skip:%s) : " % (default_apply_random_ct),
                 default_apply_random_ct,
                 help_message="Increase variativity of src samples by apply LCT color transfer from random dst "
                              "samples. It is like 'face_style' learning, but more precise color transfer and without "
diff --git a/samplelib/SampleProcessor.py b/samplelib/SampleProcessor.py
index 3d0cd6d..9d0c895 100644
--- a/samplelib/SampleProcessor.py
+++ b/samplelib/SampleProcessor.py
@@ -240,7 +240,7 @@ class SampleProcessor(object):
                     if apply_ct == ColorTransferMode.LCT:
                         img_bgr = imagelib.linear_color_transfer(img_bgr, ct_sample_bgr)
 
-                    elif ColorTransferMode.RCT <= apply_ct <= ColorTransferMode.MASKED_RCT_CLIP_PAPER:
+                    elif ColorTransferMode.RCT <= apply_ct <= ColorTransferMode.MASKED_RCT_PAPER_CLIP:
                         ct_options = {
                             ColorTransferMode.RCT:                      (False, False, False),
                             ColorTransferMode.RCT_CLIP:                 (False, False, True),
@@ -257,12 +257,12 @@ class SampleProcessor(object):
                             img_bgr = imagelib.reinhard_color_transfer(img_bgr, ct_sample_bgr, clip=use_clip,
                                                                        preserve_paper=use_paper)
                         else:
-                            ct_sample_mask = ct_sample_mask or ct_sample.load_mask()
+                            if ct_sample_mask is None:
+                                ct_sample_mask = ct_sample.load_mask()
                             img_bgr = imagelib.reinhard_color_transfer(img_bgr, ct_sample_bgr, clip=use_clip,
                                                                        preserve_paper=use_paper, source_mask=img_mask,
                                                                        target_mask=ct_sample_mask)
 
-
                 if normalize_std_dev:
                     img_bgr = (img_bgr - img_bgr.mean((0, 1))) / img_bgr.std((0, 1))
                 elif normalize_vgg: