diff --git a/scripts/kohyas/sdxl_model_util.py b/scripts/kohyas/sdxl_model_util.py
index d5254b9..33c179a 100644
--- a/scripts/kohyas/sdxl_model_util.py
+++ b/scripts/kohyas/sdxl_model_util.py
@@ -134,6 +134,9 @@ def convert_key(key):
 
     return new_sd, logit_scale
 
+delkeys =[
+'text_model.embeddings.position_ids'
+]
 
 # load state_dict without allocating new tensors
 def _load_state_dict_on_device(model, state_dict, device, dtype=None):
@@ -141,12 +144,14 @@ def _load_state_dict_on_device(model, state_dict, device, dtype=None):
     missing_keys = list(model.state_dict().keys() - state_dict.keys())
     unexpected_keys = list(state_dict.keys() - model.state_dict().keys())
 
+    unexpected_keys = list(set(unexpected_keys) - set(delkeys))
+
     # similar to model.load_state_dict()
     if not missing_keys and not unexpected_keys:
         for k in list(state_dict.keys()):
             set_module_tensor_to_device(model, k, device, value=state_dict.pop(k), dtype=dtype)
         return "<All keys matched successfully>"
-
+    
     # error_msgs
     error_msgs: List[str] = []
     if missing_keys:
diff --git a/scripts/mergers/pluslora.py b/scripts/mergers/pluslora.py
index 0bc42b5..db580da 100644
--- a/scripts/mergers/pluslora.py
+++ b/scripts/mergers/pluslora.py
@@ -287,16 +287,22 @@ def makelora(model_a,model_b,dim,saveto,settings,alpha,beta,save_precision,calc_
       return "ERROR: No model Selected"
     gc.collect()
 
-    currentinfo = shared.sd_model.sd_checkpoint_info
+    try:
+        currentinfo = shared.sd_model.sd_checkpoint_info
+    except:
+        currentinfo = None
 
     checkpoint_info = sd_models.get_closet_checkpoint_match(model_a)
     load_model(checkpoint_info)
 
     model = shared.sd_model
+    print(type(model).__name__)
+    print("XL" in type(model).__name__)
 
-    is_sdxl = hasattr(model, 'conditioner')
-    is_sd2 = not model.is_sdxl and hasattr(model.cond_stage_model, 'model')
-    is_sd1 = not model.is_sdxl and not model.is_sd2
+    is_sdxl = type(model).__name__ == "StableDiffusionXL" or getattr(model,'is_sdxl', False)
+    is_sd2 = type(model).__name__ == "StableDiffusion2" or getattr(model,'is_sd2', False)
+    is_sd1 = type(model).__name__ == "StableDiffusion" or getattr(model,'is_sd1', False)
+    is_flux = type(model).__name__ == "Flux" or getattr(model,'is_flux', False)
 
     print(f"Detected model type: SDXL: {is_sdxl}, SD2.X: {is_sd2}, SD1.X: {is_sd1}")
 
@@ -333,7 +339,8 @@ def makelora(model_a,model_b,dim,saveto,settings,alpha,beta,save_precision,calc_
 
     result = ext.svd(args)
 
-    load_model(currentinfo)
+    if currentinfo:
+        load_model(currentinfo)
     return result
 
 ##############################################################