diff --git a/invokeai/backend/install/model_install_backend.py b/invokeai/backend/install/model_install_backend.py
index a10fa852c0..00646e70e3 100644
--- a/invokeai/backend/install/model_install_backend.py
+++ b/invokeai/backend/install/model_install_backend.py
@@ -223,7 +223,7 @@ class ModelInstall(object):
         try:
             model_result = None
             info = info or ModelProbe().heuristic_probe(path,self.prediction_helper)
-            model_name = path.stem if info.format=='checkpoint' else path.name
+            model_name = path.stem if path.is_file() else path.name
             if self.mgr.model_exists(model_name, info.base_type, info.model_type):
                 raise ValueError(f'A model named "{model_name}" is already installed.')
             attributes = self._make_attributes(path,info)
diff --git a/invokeai/backend/model_management/model_manager.py b/invokeai/backend/model_management/model_manager.py
index a8cbb50474..8002ec9ba4 100644
--- a/invokeai/backend/model_management/model_manager.py
+++ b/invokeai/backend/model_management/model_manager.py
@@ -731,12 +731,12 @@ class ModelManager(object):
 
                             if model_path.is_relative_to(self.app_config.root_path):
                                 model_path = model_path.relative_to(self.app_config.root_path)
-                                try:
-                                    model_config: ModelConfigBase = model_class.probe_config(str(model_path))
-                                    self.models[model_key] = model_config
-                                    new_models_found = True
-                                except NotImplementedError as e:
-                                    self.logger.warning(e)
+                            try:
+                                model_config: ModelConfigBase = model_class.probe_config(str(model_path))
+                                self.models[model_key] = model_config
+                                new_models_found = True
+                            except NotImplementedError as e:
+                                self.logger.warning(e)
 
         imported_models = self.autoimport()