diff --git a/qwen3-tts-backend/api/voice_designs.py b/qwen3-tts-backend/api/voice_designs.py
index 77e2140..5d26453 100644
--- a/qwen3-tts-backend/api/voice_designs.py
+++ b/qwen3-tts-backend/api/voice_designs.py
@@ -132,7 +132,6 @@ async def prepare_and_create_voice_design(
         x_vector = tts.create_voice_clone_prompt(
             ref_audio=(ref_audio_array, ref_sr),
             ref_text=ref_text,
-            x_vector_only_mode=True
         )
 
         cache_manager = await VoiceCacheManager.get_instance()
@@ -142,7 +141,6 @@ async def prepare_and_create_voice_design(
             'duration': features['duration'],
             'sample_rate': features['sample_rate'],
             'ref_text': ref_text,
-            'x_vector_only_mode': True,
             'instruct': data.instruct
         }
         cache_id = await cache_manager.set_cache(
@@ -257,7 +255,6 @@ async def prepare_voice_clone_prompt(
         x_vector = tts.create_voice_clone_prompt(
             ref_audio=(ref_audio_array, ref_sr),
             ref_text=ref_text,
-            x_vector_only_mode=True
         )
 
         cache_manager = await VoiceCacheManager.get_instance()
@@ -268,7 +265,6 @@ async def prepare_voice_clone_prompt(
             'duration': features['duration'],
             'sample_rate': features['sample_rate'],
             'ref_text': ref_text,
-            'x_vector_only_mode': True,
             'voice_design_id': design_id,
             'instruct': design.instruct
         }
diff --git a/qwen3-tts-backend/core/tts_service.py b/qwen3-tts-backend/core/tts_service.py
index a410858..813adcf 100644
--- a/qwen3-tts-backend/core/tts_service.py
+++ b/qwen3-tts-backend/core/tts_service.py
@@ -52,15 +52,9 @@ class LocalTTSBackend(TTSBackend):
         )
 
         import numpy as np
-        if isinstance(result, tuple):
-            audio_data = result[0]
-        else:
-            audio_data = result
-
-        if isinstance(audio_data, list):
-            audio_data = np.array(audio_data)
-
-        return self._numpy_to_bytes(audio_data), 24000
+        wavs, sample_rate = result if isinstance(result, tuple) else (result, 24000)
+        audio_data = wavs[0] if isinstance(wavs, list) else wavs
+        return self._numpy_to_bytes(audio_data), sample_rate
 
     async def generate_voice_design(self, params: dict) -> Tuple[bytes, int]:
         await self.model_manager.load_model("voice-design")
@@ -78,10 +72,9 @@ class LocalTTSBackend(TTSBackend):
         )
 
         import numpy as np
-        audio_data = result[0] if isinstance(result, tuple) else result
-        if isinstance(audio_data, list):
-            audio_data = np.array(audio_data)
-        return self._numpy_to_bytes(audio_data), 24000
+        wavs, sample_rate = result if isinstance(result, tuple) else (result, 24000)
+        audio_data = wavs[0] if isinstance(wavs, list) else wavs
+        return self._numpy_to_bytes(audio_data), sample_rate
 
     async def generate_voice_clone(self, params: dict, ref_audio_bytes: bytes = None, x_vector=None) -> Tuple[bytes, int]:
         from utils.audio import process_ref_audio