diff --git a/src/diffusers/loaders/lora_conversion_utils.py b/src/diffusers/loaders/lora_conversion_utils.py
index 338175b75163..df1d351ca1f7 100644
--- a/src/diffusers/loaders/lora_conversion_utils.py
+++ b/src/diffusers/loaders/lora_conversion_utils.py
@@ -142,10 +142,10 @@ def _convert_non_diffusers_lora_to_diffusers(state_dict, unet_name="unet", text_
     network_alphas = {}
 
     # Check for DoRA-enabled LoRAs.
-    if any(
-        "dora_scale" in k and ("lora_unet_" in k or "lora_te_" in k or "lora_te1_" in k or "lora_te2_" in k)
-        for k in state_dict
-    ):
+    dora_present_in_unet = any("dora_scale" in k and "lora_unet_" in k for k in state_dict)
+    dora_present_in_te = any("dora_scale" in k and ("lora_te_" in k or "lora_te1_" in k) for k in state_dict)
+    dora_present_in_te2 = any("dora_scale" in k and "lora_te2_" in k for k in state_dict)
+    if dora_present_in_unet or dora_present_in_te or dora_present_in_te2:
         if is_peft_version("<", "0.9.0"):
             raise ValueError(
                 "You need `peft` 0.9.0 at least to use DoRA-enabled LoRAs. Please upgrade your installation of `peft`."
@@ -173,7 +173,7 @@ def _convert_non_diffusers_lora_to_diffusers(state_dict, unet_name="unet", text_
             unet_state_dict[diffusers_name.replace(".down.", ".up.")] = state_dict.pop(lora_name_up)
 
             # Store DoRA scale if present.
-            if "dora_scale" in state_dict:
+            if dora_present_in_unet:
                 dora_scale_key_to_replace = "_lora.down." if "_lora.down." in diffusers_name else ".lora.down."
                 unet_state_dict[
                     diffusers_name.replace(dora_scale_key_to_replace, ".lora_magnitude_vector.")
@@ -192,7 +192,7 @@ def _convert_non_diffusers_lora_to_diffusers(state_dict, unet_name="unet", text_
                 te2_state_dict[diffusers_name.replace(".down.", ".up.")] = state_dict.pop(lora_name_up)
 
             # Store DoRA scale if present.
-            if "dora_scale" in state_dict:
+            if dora_present_in_te or dora_present_in_te2:
                 dora_scale_key_to_replace_te = (
                     "_lora.down." if "_lora.down." in diffusers_name else ".lora_linear_layer."
                 )
@@ -214,7 +214,7 @@ def _convert_non_diffusers_lora_to_diffusers(state_dict, unet_name="unet", text_
     if len(state_dict) > 0:
         raise ValueError(f"The following keys have not been correctly renamed: \n\n {', '.join(state_dict.keys())}")
 
-    logger.info("Kohya-style checkpoint detected.")
+    logger.info("Non-diffusers checkpoint detected.")
 
     # Construct final state dict.
     unet_state_dict = {f"{unet_name}.{module_name}": params for module_name, params in unet_state_dict.items()}