Update api/ltx/ltx_aduc_manager.py

api/ltx/ltx_aduc_manager.py

@@ -66,7 +66,7 @@ class LTXMainWorker(BaseWorker):
     """Worker especialista para o pipeline principal do LTX."""
     def __init__(self, worker_id: int, device: torch.device, pipeline: LTXVideoPipeline):
         super().__init__(worker_id, device, pipeline)
-        self.pipeline = self.model # Alias para clareza
+        self.pipeline = self.model
         self.autocast_dtype: torch.dtype = torch.float32
 
     def _post_load_hook(self):
@@ -99,7 +99,7 @@ class VAEWorker(BaseWorker):
     """Worker especialista para o modelo VAE."""
     def __init__(self, worker_id: int, device: torch.device, vae: CausalVideoAutoencoder):
         super().__init__(worker_id, device, vae)
-        self.vae = self.model # Alias
+        self.vae = self.model
 
     def _post_load_hook(self):
         self.vae.eval()
@@ -143,7 +143,6 @@ class LTXAducManager:
         
         self._initialize_workers()
         
-        # Inicia threads consumidores para processar as filas
         self.ltx_dispatcher = threading.Thread(target=self._dispatch_jobs, args=(self.ltx_job_queue, self.ltx_workers), daemon=True)
         self.vae_dispatcher = threading.Thread(target=self._dispatch_jobs, args=(self.vae_job_queue, self.vae_workers), daemon=True)
         self.health_monitor = threading.Thread(target=self._health_check_loop, daemon=True)