diff --git a/readme.md b/readme.md
index 7803a15..89d259e 100644
--- a/readme.md
+++ b/readme.md
@@ -1,13 +1,25 @@
 
 ```
-python train.py --train_datasets DIV2K_pillow_bicubic --val_datasets Set5,Set14 --scale 4 --total_iter 10000 --model SRNetRot90
-python transfer_to_lut.py --model_path /wd/luts/models/SRNet_DIV2K_pillow_bicubic/checkpoints/SRNet_10000.pth
-python train.py --model_path /wd/lut_reproduce/models/RCNetx2_DIV2K_pillow_bicubic/checkpoints/RCLutx2_0.pth --train_datasets DIV2K_pillow_bicubic --total_iter 10000
+python train.py --model SRNetRot90
 
-python image_demo.py -n /wd/lut_reproduce/models/RCNetx2_DIV2K_pillow_bicubic/checkpoints/RCNetCentered_3x3_10000.pth -l /wd/lut_reproduce/models/RCLutCentered_3x3_DIV2K_pillow_bicubic/checkpoints/RCLutCentered_3x3_10000.pth
+python validate.py --val_datasets Set5,Set14,B100,Urban100,Manga109 --model_path /wd/lut_reproduce/models/last_trained_net.pth
 
-python validate.py --val_datasets Set5,Set14,B100,Urban100,Manga109 --model_path /wd/luts/models/SRNet_DIV2K_pillow_bicubic/checkpoints/SRNet_10000.pth
+python transfer_to_lut.py --model_path /wd/lut_reproduce/models/last_trained_net.pth
+
+python train.py --model_path /wd/lut_reproduce/models/last_transfered_lut.pth --total_iter 2000
+
+python validate.py --val_datasets Set5,Set14,B100,Urban1[00,Manga109 --model_path /wd/lut_reproduce/models/last_trained_lut.pth
+
+python image_demo.py 
+```
+
+Help
+```
+python train.py --help
+python validate.py --help
+python transfer_to_lut.py --help
+python image_demo.py --help
 ```
 
-Requierements:
+Requirements:
 - [shedulefree](https://github.com/facebookresearch/schedule_free)
\ No newline at end of file
diff --git a/src/scripts/image_demo.py b/src/scripts/image_demo.py
index 2d5abff..4c091b9 100644
--- a/src/scripts/image_demo.py
+++ b/src/scripts/image_demo.py
@@ -28,18 +28,18 @@ class ImageDemoOptions():
         args.lut_model_path = Path(args.lut_model_path).resolve()         
         return args
 
-    def print_options(self, opt):
+    def __repr__(self):
+        config = self.parser.parse_args() 
         message = ''
         message += '----------------- Options ---------------\n'
-        for k, v in sorted(vars(opt).items()):
+        for k, v in sorted(vars(config).items()):
             comment = ''
             default = self.parser.get_default(k)
             if v != default:
                 comment = '\t[default: %s]' % str(default)
             message += '{:>25}: {:<30}{}\n'.format(str(k), str(v), comment)
         message += '----------------- End -------------------'
-        print(message)
-        print()
+        return message
 
 config_inst = ImageDemoOptions()
 config = config_inst.parse_args()
diff --git a/src/scripts/train.py b/src/scripts/train.py
index 28e709a..2981631 100644
--- a/src/scripts/train.py
+++ b/src/scripts/train.py
@@ -55,18 +55,18 @@ class TrainOptions:
         args.val_datasets = args.val_datasets.split(',')        
         return args
 
-    def print_options(self, opt):
+    def __repr__(self):
+        config = self.parser.parse_args()
         message = ''
         message += '----------------- Options ---------------\n'
-        for k, v in sorted(vars(opt).items()):
+        for k, v in sorted(vars(config).items()):
             comment = ''
             default = self.parser.get_default(k)
             if v != default:
                 comment = '\t[default: %s]' % str(default)
             message += '{:>25}: {:<30}{}\n'.format(str(k), str(v), comment)
         message += '----------------- End -------------------'
-        print(message)
-        print()
+        return message
 
 def prepare_experiment_folder(config):
     assert all([name in os.listdir(config.datasets_dir) for name in config.train_datasets]), f"On of the {config.train_datasets} was not found in {config.datasets_dir}."
@@ -114,8 +114,8 @@ if __name__ == "__main__":
     config.writer = writer
     config.logger = logger
 
-    config.logger.info(config_inst.print_options(config))
-    print(model)
+    config.logger.info(config_inst)
+    config.logger.info(model)
 
     # Training dataset
     train_datasets = []
diff --git a/src/scripts/transfer_to_lut.py b/src/scripts/transfer_to_lut.py
index 1e425a2..8b5e3ed 100644
--- a/src/scripts/transfer_to_lut.py
+++ b/src/scripts/transfer_to_lut.py
@@ -30,18 +30,18 @@ class TransferToLutOptions():
         args.checkpoint_dir = Path(args.model_path).resolve().parent
         return args
 
-    def print_options(self, opt):
+    def __repr__(self):
+        config = self.parser.parse_args() 
         message = ''
         message += '----------------- Options ---------------\n'
-        for k, v in sorted(vars(opt).items()):
+        for k, v in sorted(vars(config).items()):
             comment = ''
             default = self.parser.get_default(k)
             if v != default:
                 comment = '\t[default: %s]' % str(default)
             message += '{:>25}: {:<30}{}\n'.format(str(k), str(v), comment)
         message += '----------------- End -------------------'
-        print(message)
-        print()
+        return message
 
 
 if __name__ == "__main__":
@@ -50,7 +50,7 @@ if __name__ == "__main__":
     config_inst = TransferToLutOptions()
     config = config_inst.parse_args()
     
-    config_inst.print_options(config)
+    print(config_inst)
    
     model = models.LoadCheckpoint(config.model_path).cuda()
     if getattr(model, 'get_lut_model', None) is None: