diff --git a/examples/openai_server.py b/examples/openai_server.py
index 61047ea..2f95bbd 100644
--- a/examples/openai_server.py
+++ b/examples/openai_server.py
@@ -169,6 +169,16 @@ def resolve_voice(voice_name: str) -> dict:
 # ---------------------------------------------------------------------------
 
 
+def _load_voice_clone_prompt(voice_cfg: dict):
+    spk_emb_path = voice_cfg.get("speaker_embeddings") or voice_cfg.get("speaker embeddings")
+    if spk_emb_path and os.path.isfile(spk_emb_path):
+        try:
+            return torch.load(spk_emb_path, map_location="cpu", weights_only=False)
+        except Exception as e:
+            logger.error("Failed to load speaker embeddings from %s: %s", spk_emb_path, e)
+    return None
+
+
 async def _stream_chunks(voice_cfg: dict, text: str) -> AsyncGenerator[bytes, None]:
     """
     Run generate_voice_clone_streaming in a background thread and yield
@@ -183,11 +193,15 @@ async def _stream_chunks(voice_cfg: dict, text: str) -> AsyncGenerator[bytes, No
                 for chunk, _sr, _timing in tts_model.generate_voice_clone_streaming(
                     text=text,
                     language=voice_cfg.get("language", "Auto"),
-                    ref_audio=voice_cfg["ref_audio"],
+                    ref_audio=voice_cfg.get("ref_audio"),
                     ref_text=voice_cfg.get("ref_text", ""),
                     chunk_size=voice_cfg.get("chunk_size", 12),
                     instruct=voice_cfg.get("instruct"),
-                    non_streaming_mode=False,
+                    voice_clone_prompt=_load_voice_clone_prompt(voice_cfg),
+                    non_streaming_mode=True,
+                    temperature=voice_cfg.get("temperature", 0.8),
+                    top_k=voice_cfg.get("top_k", 50),
+                    top_p=voice_cfg.get("top_p", 0.9),
                 ):
                     q.put(chunk)
         except Exception as exc:
@@ -249,9 +263,14 @@ async def create_speech(req: SpeechRequest):
                 return tts_model.generate_voice_clone(
                     text=req.input,
                     language=voice_cfg.get("language", "Auto"),
-                    ref_audio=voice_cfg["ref_audio"],
+                    ref_audio=voice_cfg.get("ref_audio"),
                     ref_text=voice_cfg.get("ref_text", ""),
                     instruct=voice_cfg.get("instruct"),
+                    voice_clone_prompt=_load_voice_clone_prompt(voice_cfg),
+                    non_streaming_mode=True,
+                    temperature=voice_cfg.get("temperature", 0.8),
+                    top_k=voice_cfg.get("top_k", 50),
+                    top_p=voice_cfg.get("top_p", 0.9),
                 )
 
         audio_arrays, sr = await loop.run_in_executor(None, _generate)