diff --git a/launch.py b/launch.py
index b0ff7f1a..0cfde8fb 100644
--- a/launch.py
+++ b/launch.py
@@ -77,7 +77,6 @@ prepare_environment()
 build_launcher()
 args = ini_args()
 
-
 if args.gpu_device_id is not None:
     os.environ['CUDA_VISIBLE_DEVICES'] = str(args.gpu_device_id)
     print("Set device to:", args.gpu_device_id)
diff --git a/webui.py b/webui.py
index e444da86..819f69cd 100644
--- a/webui.py
+++ b/webui.py
@@ -632,15 +632,18 @@ with shared.gradio_root:
                 preset_content = modules.config.try_get_preset_content(preset) if preset != 'initial' else {}
                 preset_prepared = modules.meta_parser.parse_meta_from_preset(preset_content)
 
-                default_model = preset_prepared['base_model']
-                previous_default_models = preset_prepared['previous_default_models']
-                checkpoint_downloads = preset_prepared['checkpoint_downloads']
-                embeddings_downloads = preset_prepared['embeddings_downloads']
-                lora_downloads = preset_prepared['lora_downloads']
+                default_model = preset_prepared.get('base_model')
+                previous_default_models = preset_prepared.get('previous_default_models', [])
+                checkpoint_downloads = preset_prepared.get('checkpoint_downloads', {})
+                embeddings_downloads = preset_prepared.get('embeddings_downloads', {})
+                lora_downloads = preset_prepared.get('lora_downloads', {})
 
                 preset_prepared['base_model'], preset_prepared['lora_downloads'] = launch.download_models(
                     default_model, previous_default_models, checkpoint_downloads, embeddings_downloads, lora_downloads)
 
+                if 'prompt' in preset_prepared and preset_prepared.get('prompt') == '':
+                    del preset_prepared['prompt']
+
                 return modules.meta_parser.load_parameter_button_click(json.dumps(preset_prepared), is_generating)
 
             preset_selection.change(preset_selection_change, inputs=[preset_selection, state_is_generating], outputs=load_data_outputs, queue=False, show_progress=True) \