fix: model-specific instructions support and set cfg-scale 4 for breeze automaticallyHEADmain

1 files changed, 17 insertions, 1 deletions

diff --git a/app/converter/clients/qwen.py b/app/converter/clients/qwen.py
index dd1c8ba..3f4025c 100644
--- a/app/converter/clients/qwen.py
+++ b/app/converter/clients/qwen.py
@@ -268,7 +268,16 @@ class QwenTTSClient(BaseTTSClient):
     # ------------------------------------------------------------------
 
     def _generate_custom_voice(self, text: str) -> Tuple:
-        """Generate audio using CustomVoice mode with the run's speaker."""
+        """Generate audio using CustomVoice mode with the run's speaker.
+
+        When the endpoint exposes an instruction parameter and the run
+        carries one, it is sent as a delivery/style control (the demo's
+        run_instruct accepts an ``instruct`` argument alongside the
+        speaker; the model voices the text with that delivery instead of
+        the speaker's default). With no instruction the request is
+        unchanged.
+        """
+        instructions = getattr(self, "instructions", "") or ""
         custom_api = self._resolve_api_name("/run_instruct", "/run_custom_voice", "/generate_custom_voice")
         if custom_api == "/run_instruct":
             payload = dict(
@@ -276,6 +285,9 @@ class QwenTTSClient(BaseTTSClient):
                 lang_disp=self.language,
                 spk_disp=speaker_display_name_for(self.speaker),
             )
+            if instructions \
+                    and self._endpoint_accepts_param(custom_api, "instruct"):
+                payload["instruct"] = instructions
         else:
             payload = dict(
                 text=text,
@@ -290,6 +302,10 @@ class QwenTTSClient(BaseTTSClient):
             if self._endpoint_accepts_param(custom_api, "seed"):
                 payload["seed"] = self._seed
 
+            if instructions \
+                    and self._endpoint_accepts_param(custom_api, "instruct"):
+                payload["instruct"] = instructions
+
         return self.client.predict(**payload, api_name=custom_api)
 
     def _generate_voice_design(self, text: str) -> Tuple: