reset hydra

app.py

@@ -306,6 +306,7 @@ if __name__ == "__main__":
     args.vqgan_config_name = "vqgan_pretrain"
 
     logger.info("Loading Llama model...")
+    hydra.core.global_hydra.GlobalHydra.instance().clear()
     llama_queue = launch_thread_safe_queue(
         config_name=args.llama_config_name,
         checkpoint_path=args.llama_checkpoint_path,
@@ -317,6 +318,7 @@ if __name__ == "__main__":
     llama_tokenizer = AutoTokenizer.from_pretrained(args.tokenizer)
     logger.info("Llama model loaded, loading VQ-GAN model...")
 
+    hydra.core.global_hydra.GlobalHydra.instance().clear()
     vqgan_model = load_vqgan_model(
         config_name=args.vqgan_config_name,
         checkpoint_path=args.vqgan_checkpoint_path,