diff --git a/README.md b/README.md
index 437b1120..07e1cfda 100644
--- a/README.md
+++ b/README.md
@@ -127,6 +127,9 @@ The majority of scripts is licensed under ASL 2.0 (including codes from Diffuser
 
 ## Change History
 
+- 11 Mar. 2023, 2023/3/11:
+    - Fix `svd_merge_lora.py` causes an error about the device.
+    - `svd_merge_lora.py` でデバイス関連のエラーが発生する不具合を修正しました。
 - 10 Mar. 2023, 2023/3/10: release v0.5.1
   - Fix to LoRA modules in the model are same to the previous (before 0.5.0) if Conv2d-3x3 is disabled (no `conv_dim` arg, default).
     - Conv2D with kernel size 1x1 in ResNet modules were accidentally included in v0.5.0.
diff --git a/networks/svd_merge_lora.py b/networks/svd_merge_lora.py
index 3a03b0d5..8c0d8183 100644
--- a/networks/svd_merge_lora.py
+++ b/networks/svd_merge_lora.py
@@ -77,6 +77,12 @@ def merge_lora_models(models, ratios, new_rank, new_conv_rank, device, merge_dty
 
       # W <- W + U * D
       scale = (alpha / network_dim)
+
+      if device:                      # and isinstance(scale, torch.Tensor):
+        scale = scale.to(device)
+        up_weight = up_weight.to(device)
+        down_weight = down_weight.to(device)
+
       if not conv2d:        # linear
         weight = weight + ratio * (up_weight @ down_weight) * scale
       elif kernel_size == (1, 1):