diff --git a/invokeai/backend/install/invokeai_configure.py b/invokeai/backend/install/invokeai_configure.py
index 695e67e32d..86da993e85 100755
--- a/invokeai/backend/install/invokeai_configure.py
+++ b/invokeai/backend/install/invokeai_configure.py
@@ -836,9 +836,9 @@ def main():
             download_support_models()
 
         if opt.skip_sd_weights:
-            logger.info("\n** SKIPPING DIFFUSION WEIGHTS DOWNLOAD PER USER REQUEST **")
+            logger.warning("SKIPPING DIFFUSION WEIGHTS DOWNLOAD PER USER REQUEST")
         elif models_to_download:
-            logger.info("\n** DOWNLOADING DIFFUSION WEIGHTS **")
+            logger.info("DOWNLOADING DIFFUSION WEIGHTS")
             process_and_execute(opt, models_to_download)
 
         postscript(errors=errors)
diff --git a/invokeai/backend/install/model_install_backend.py b/invokeai/backend/install/model_install_backend.py
index b6f6d62d97..c1fa30c3b7 100644
--- a/invokeai/backend/install/model_install_backend.py
+++ b/invokeai/backend/install/model_install_backend.py
@@ -119,6 +119,7 @@ class ModelInstall(object):
 
         # supplement with entries in models.yaml
         installed_models = self.mgr.list_models()
+        
         for md in installed_models:
             base = md['base_model']
             model_type = md['model_type']
@@ -136,6 +137,12 @@ class ModelInstall(object):
                 )
         return {x : model_dict[x] for x in sorted(model_dict.keys(),key=lambda y: model_dict[y].name.lower())}
 
+    def list_models(self, model_type):
+        installed = self.mgr.list_models(model_type=model_type)
+        print(f'Installed models of type `{model_type}`:')
+        for i in installed:
+            print(f"{i['model_name']}\t{i['base_model']}\t{i['path']}")
+
     def starter_models(self)->Set[str]:
         models = set()
         for key, value in self.datasets.items():
diff --git a/invokeai/backend/model_management/model_manager.py b/invokeai/backend/model_management/model_manager.py
index 6b9d085885..a38fcf6c24 100644
--- a/invokeai/backend/model_management/model_manager.py
+++ b/invokeai/backend/model_management/model_manager.py
@@ -849,7 +849,6 @@ class ModelManager(object):
             if autodir is None:
                 continue
 
-            self.logger.info(f'Scanning {autodir} for models to import')
             installed = dict()
         
             autodir = self.app_config.root_path / autodir
@@ -884,9 +883,9 @@ class ModelManager(object):
                         except ValueError as e:
                             self.logger.warning(str(e))
 
-            self.logger.info(f'Scanned {items_scanned} files and directories, imported {len(new_models_found)} models')
             installed.update(new_models_found)
 
+        self.logger.info(f'Scanned {items_scanned} files and directories, imported {len(new_models_found)} models')
         return installed
 
     def heuristic_import(self,
diff --git a/invokeai/frontend/install/model_install.py b/invokeai/frontend/install/model_install.py
index b268e59649..787da5724f 100644
--- a/invokeai/frontend/install/model_install.py
+++ b/invokeai/frontend/install/model_install.py
@@ -675,7 +675,9 @@ def select_and_download_models(opt: Namespace):
     # pass
     
     installer = ModelInstall(config, prediction_type_helper=helper)
-    if opt.add or opt.delete:
+    if opt.list_models:
+        installer.list_models(opt.list_models)
+    elif opt.add or opt.delete:
         selections = InstallSelections(
             install_models = opt.add or [],
             remove_models = opt.delete or []
@@ -748,7 +750,7 @@ def main():
     )
     parser.add_argument(
         "--list-models",
-        choices=["diffusers","loras","controlnets","tis"],
+        choices=[x.value for x in ModelType],
         help="list installed models",
     )
     parser.add_argument(