diff --git a/models/Model_AMP/Model.py b/models/Model_AMP/Model.py
index 28c0420..46d065a 100644
--- a/models/Model_AMP/Model.py
+++ b/models/Model_AMP/Model.py
@@ -125,7 +125,10 @@ class AMPModel(ModelBase):
         if ct_mode == 'none':
             ct_mode = None
 
-        use_fp16 = self.is_exporting
+        use_fp16 = False
+        if self.is_exporting:
+            use_fp16 = io.input_bool ("Export quantized?", False, help_message='Makes the exported model faster. If you have problems, disable this option.')
+            
         conv_dtype = tf.float16 if use_fp16 else tf.float32
 
         class Downscale(nn.ModelBase):
diff --git a/models/Model_SAEHD/Model.py b/models/Model_SAEHD/Model.py
index 4dcecd9..dda4a4b 100644
--- a/models/Model_SAEHD/Model.py
+++ b/models/Model_SAEHD/Model.py
@@ -219,7 +219,10 @@ Examples: df, liae, df-d, df-ud, liae-ud, ...
             self.set_iter(0)
 
         adabelief = self.options['adabelief']
-        use_fp16 = False#self.options['use_fp16']
+        
+        use_fp16 = False
+        if self.is_exporting:
+            use_fp16 = io.input_bool ("Export quantized?", False, help_message='Makes the exported model faster. If you have problems, disable this option.')
         
         self.gan_power = gan_power = 0.0 if self.pretrain else self.options['gan_power']
         random_warp = False if self.pretrain else self.options['random_warp']