diff --git a/extensions-builtin/Lora/lora_convert.py b/extensions-builtin/Lora/lora_convert.py
index 0c8497f85..04eb7bf84 100644
--- a/extensions-builtin/Lora/lora_convert.py
+++ b/extensions-builtin/Lora/lora_convert.py
@@ -161,7 +161,7 @@ class KeyConvert:
                     sd_module.append(expert_module)
                     i += 1
         # SegMoe end
-        return key, sd_module
+        return [key], [sd_module]
 
     def diffusers(self, key):
         if self.is_sdxl:
@@ -173,6 +173,27 @@ class KeyConvert:
             if search_key.startswith(map_key):
                 key = key.replace(map_key, self.UNET_CONVERSION_MAP[map_key]).replace("oft", "lora") # pylint: disable=unsubscriptable-object
         sd_module = shared.sd_model.network_layer_mapping.get(key, None)
+        # SegMoE begin
+        expert_key = key + "_experts_0"
+        expert_module = shared.sd_model.network_layer_mapping.get(expert_key, None)
+        if expert_module is not None:
+            sd_module = expert_module
+            key = expert_key
+        if sd_module is None:
+            key = key.replace("_net_", "_experts_0_net_")
+            sd_module = shared.sd_model.network_layer_mapping.get(key, None)
+        key = key if isinstance(key, list) else [key]
+        sd_module = sd_module if isinstance(sd_module, list) else [sd_module]
+        if "_experts_0" in key[0]:
+            i = expert_module = 1
+            while expert_module is not None:
+                expert_key = key[0].replace("_experts_0", f"_experts_{i}")
+                expert_module = shared.sd_model.network_layer_mapping.get(expert_key, None)
+                if expert_module is not None:
+                    key.append(expert_key)
+                    sd_module.append(expert_module)
+                    i += 1
+        # SegMoe end
         if debug and sd_module is None:
             raise RuntimeError(f"LoRA key not found in network_layer_mapping: key={key} mapping={shared.sd_model.network_layer_mapping.keys()}")
         return key, sd_module