Update api/ltx_server_refactored_complete.py

api/ltx_server_refactored_complete.py

@@ -254,7 +254,7 @@ class VideoService:
 
         first_pass_config = self.config.get("first_pass", {}).copy()
         if kwargs.get("ltx_configs_override"):
-            self._apply_ui_overrides(first_pass_config, kwargs["ltx_configs_override"])
+            self._apply_ui_overrides(first_pass_config)
 
         pipeline_kwargs = {
             "prompt": kwargs['prompt'], "negative_prompt": kwargs['negative_prompt'],
@@ -308,7 +308,7 @@ class VideoService:
             conditioning_items.append(ConditioningItem(tensor, safe_frame, float(weight)))
         return conditioning_items
 
-    def _apply_ui_overrides(self, config_dict: Dict, overrides: Dict):
+    def _apply_ui_overrides(self, config_dict: Dict):
         """Applies advanced settings from the UI to a config dictionary."""
         # Override step counts
         for key in ["num_inference_steps", "skip_initial_inference_steps", "skip_final_inference_steps"]:
@@ -317,24 +317,6 @@ class VideoService:
                 config_dict[key] = ui_value
                 logging.info(f"Override: '{key}' set to {ui_value} by UI.")
         
-        # Override guidance settings
-        preset = overrides.get("guidance_preset", "Padrão (Recomendado)")
-        guidance_overrides = {}
-        if preset == "Agressivo":
-            guidance_overrides = {"guidance_scale": [1, 2, 8, 12, 8, 2, 1], "stg_scale": [0, 0, 5, 6, 5, 3, 2]}
-        elif preset == "Suave":
-            guidance_overrides = {"guidance_scale": [1, 1, 4, 5, 4, 1, 1], "stg_scale": [0, 0, 2, 2, 2, 1, 0]}
-        elif preset == "Customizado":
-            try:
-                guidance_overrides["guidance_scale"] = json.loads(overrides["guidance_scale_list"])
-                guidance_overrides["stg_scale"] = json.loads(overrides["stg_scale_list"])
-            except Exception as e:
-                logging.warning(f"Failed to parse custom guidance values: {e}. Using defaults.")
-        
-        if guidance_overrides:
-            config_dict.update(guidance_overrides)
-            logging.info(f"Applying '{preset}' guidance preset overrides.")
-
     def _save_and_log_video(self, pixel_tensor: torch.Tensor, base_filename: str) -> Path:
         with tempfile.TemporaryDirectory() as temp_dir:
             temp_path = os.path.join(temp_dir, f"{base_filename}.mp4")