diff --git a/extensions-builtin/Lora/network_hada.py b/extensions-builtin/Lora/network_hada.py
index 15e7ffd8..799bb3bc 100644
--- a/extensions-builtin/Lora/network_hada.py
+++ b/extensions-builtin/Lora/network_hada.py
@@ -27,9 +27,6 @@ class NetworkModuleHada(network_lyco.NetworkModuleLyco):
         self.t1 = weights.w.get("hada_t1")
         self.t2 = weights.w.get("hada_t2")
 
-        self.alpha = weights.w["alpha"].item() if "alpha" in weights.w else None
-        self.scale = weights.w["scale"].item() if "scale" in weights.w else None
-
     def calc_updown(self, orig_weight):
         w1a = self.w1a.to(orig_weight.device, dtype=orig_weight.dtype)
         w1b = self.w1b.to(orig_weight.device, dtype=orig_weight.dtype)
diff --git a/extensions-builtin/Lora/networks.py b/extensions-builtin/Lora/networks.py
index 5b0ddfb6..90374faa 100644
--- a/extensions-builtin/Lora/networks.py
+++ b/extensions-builtin/Lora/networks.py
@@ -271,6 +271,7 @@ def network_apply_weights(self: Union[torch.nn.Conv2d, torch.nn.Linear, torch.nn
                         updown = torch.nn.functional.pad(updown, (0, 0, 0, 0, 0, 5))
 
                     self.weight += updown
+                    continue
 
             module_q = net.modules.get(network_layer_name + "_q_proj", None)
             module_k = net.modules.get(network_layer_name + "_k_proj", None)