diff --git a/networks/resize_lora.py b/networks/resize_lora.py
index c7418a5b..60c86f25 100644
--- a/networks/resize_lora.py
+++ b/networks/resize_lora.py
@@ -6,6 +6,7 @@ import argparse
 import os
 import torch
 from safetensors.torch import load_file, save_file
+from tqdm import tqdm
 
 def load_state_dict(file_name, dtype):
   if os.path.splitext(file_name)[1] == '.safetensors':
@@ -65,7 +66,7 @@ def resize_lora_model(model, new_rank, merge_dtype, save_dtype):
 
     print("resizing lora...")
     with torch.no_grad():
-        for key, value in lora_sd.items():
+        for key, value in tqdm(lora_sd.items()):
             if 'lora_down' in key:
                 block_down_name = key.split(".")[0]
                 lora_down_weight = value
@@ -83,6 +84,11 @@ def resize_lora_model(model, new_rank, merge_dtype, save_dtype):
                     lora_down_weight = lora_down_weight.squeeze()
                     lora_up_weight = lora_up_weight.squeeze()
 
+                if args.device:
+                    org_device = lora_up_weight.device
+                    lora_up_weight = lora_up_weight.to(args.device)
+                    lora_down_weight = lora_down_weight.to(args.device)
+
                 full_weight_matrix = torch.matmul(lora_up_weight, lora_down_weight)
 
                 U, S, Vh = torch.linalg.svd(full_weight_matrix)
@@ -103,6 +109,10 @@ def resize_lora_model(model, new_rank, merge_dtype, save_dtype):
                 if conv2d:
                     U = U.unsqueeze(2).unsqueeze(3)
                     Vh = Vh.unsqueeze(2).unsqueeze(3)
+                
+                if args.device:
+                   U = U.to(org_device)
+                   Vh = Vh.to(org_device)
 
                 o_lora_sd[block_down_name + "." + "lora_down.weight"] = Vh.to(save_dtype).contiguous()
                 o_lora_sd[block_up_name + "." + "lora_up.weight"] =  U.to(save_dtype).contiguous()
@@ -143,13 +153,14 @@ if __name__ == '__main__':
   parser = argparse.ArgumentParser()
 
   parser.add_argument("--save_precision", type=str, default=None,
-                      choices=[None, "float", "fp16", "bf16"], help="precision in saving, float if ommitted")
+                      choices=[None, "float", "fp16", "bf16"], help="precision in saving, float if ommitted / 保存時の精度、未指定時はfloat")
   parser.add_argument("--new_rank", type=int, default=4,
-                      help="Specify rank of output LoRA")
+                      help="Specify rank of output LoRA / 出力するLoRAのrank (dim)")
   parser.add_argument("--save_to", type=str, default=None,
                       help="destination file name: ckpt or safetensors file / 保存先のファイル名、ckptまたはsafetensors")
   parser.add_argument("--model", type=str, default=None,
-                      help="LoRA model to resize at to new rank: ckpt or safetensors file")
+                      help="LoRA model to resize at to new rank: ckpt or safetensors file / 読み込むLoRAモデル、ckptまたはsafetensors")
+  parser.add_argument("--device", type=str, default=None, help="device to use, cuda for GPU / 計算を行うデバイス、cuda でGPUを使う")
 
   args = parser.parse_args()
   resize(args)