diff --git a/networks/extract_lora_from_dylora.py b/networks/extract_lora_from_dylora.py
index 5aa9403a..0abee983 100644
--- a/networks/extract_lora_from_dylora.py
+++ b/networks/extract_lora_from_dylora.py
@@ -94,7 +94,7 @@ def split(args):
         filename, ext = os.path.splitext(args.save_to)
         model_file_name = filename + f"-{new_rank:04d}{ext}"
 
-        print(f"\nsaving model to: {model_file_name}")
+        print(f"saving model to: {model_file_name}")
         save_to_file(model_file_name, state_dict, new_metadata)
 
 
diff --git a/networks/merge_lora.py b/networks/merge_lora.py
index a7a0d83d..2fa8861b 100644
--- a/networks/merge_lora.py
+++ b/networks/merge_lora.py
@@ -193,12 +193,12 @@ def merge(args):
 
         merge_to_sd_model(text_encoder, unet, args.models, args.ratios, merge_dtype)
 
-        print(f"\nsaving SD model to: {args.save_to}")
+        print(f"saving SD model to: {args.save_to}")
         model_util.save_stable_diffusion_checkpoint(args.v2, args.save_to, text_encoder, unet, args.sd_model, 0, 0, save_dtype, vae)
     else:
         state_dict = merge_lora_models(args.models, args.ratios, merge_dtype)
 
-        print(f"\nsaving model to: {args.save_to}")
+        print(f"saving model to: {args.save_to}")
         save_to_file(args.save_to, state_dict, state_dict, save_dtype)
 
 
diff --git a/networks/resize_lora.py b/networks/resize_lora.py
index 4f7499e8..7b740634 100644
--- a/networks/resize_lora.py
+++ b/networks/resize_lora.py
@@ -326,7 +326,7 @@ def resize(args):
   metadata["sshs_model_hash"] = model_hash
   metadata["sshs_legacy_hash"] = legacy_hash
 
-  print(f"\nsaving model to: {args.save_to}")
+  print(f"saving model to: {args.save_to}")
   save_to_file(args.save_to, state_dict, state_dict, save_dtype, metadata)
 
 
diff --git a/networks/svd_merge_lora.py b/networks/svd_merge_lora.py
index 8cd389db..9d17efba 100644
--- a/networks/svd_merge_lora.py
+++ b/networks/svd_merge_lora.py
@@ -160,7 +160,7 @@ def merge(args):
   new_conv_rank = args.new_conv_rank if args.new_conv_rank is not None else args.new_rank
   state_dict = merge_lora_models(args.models, args.ratios, args.new_rank, new_conv_rank, args.device, merge_dtype)
 
-  print(f"\nsaving model to: {args.save_to}")
+  print(f"saving model to: {args.save_to}")
   save_to_file(args.save_to, state_dict, save_dtype)