diff --git a/invokeai/app/services/config.py b/invokeai/app/services/config.py
index 264a93955c..1509176478 100644
--- a/invokeai/app/services/config.py
+++ b/invokeai/app/services/config.py
@@ -175,6 +175,7 @@ DB_FILE = Path("invokeai.db")
 LEGACY_INIT_FILE = Path("invokeai.init")
 DEFAULT_MAX_VRAM = 2.75
 
+
 class InvokeAISettings(BaseSettings):
     """
     Runtime configuration settings in which default values are
diff --git a/invokeai/backend/install/invokeai_configure.py b/invokeai/backend/install/invokeai_configure.py
index 2e95993d75..6cf1101b4c 100755
--- a/invokeai/backend/install/invokeai_configure.py
+++ b/invokeai/backend/install/invokeai_configure.py
@@ -82,7 +82,7 @@ PRECISION_CHOICES = ["auto", "float16", "float32"]
 HAS_CUDA = torch.cuda.is_available()
 _, MAX_VRAM = torch.cuda.mem_get_info() if HAS_CUDA else (0, 0)
 MAX_VRAM /= 1073741824  # GB in bytes
-MAX_VRAM_CACHE_RATIO = 0.55   # first guess of optimal vram cache based on total available
+MAX_VRAM_CACHE_RATIO = 0.55  # first guess of optimal vram cache based on total available
 
 INIT_FILE_PREAMBLE = """# InvokeAI initialization file
 # This is the InvokeAI initialization file, which contains command-line default values.
@@ -571,9 +571,10 @@ def default_startup_options(init_file: Path) -> Namespace:
     opts = InvokeAIAppConfig.get_config()
     # dynamically adust vram for memory size
     if not init_file.exists():
-        opts.max_vram_cache_size = round((MAX_VRAM * MAX_VRAM_CACHE_RATIO)*4) / 4
+        opts.max_vram_cache_size = round((MAX_VRAM * MAX_VRAM_CACHE_RATIO) * 4) / 4
     return opts
 
+
 def default_user_selections(program_opts: Namespace) -> InstallSelections:
     try:
         installer = ModelInstall(config)
@@ -713,6 +714,7 @@ def migrate_init_file(legacy_format: Path):
 # -------------------------------------
 def migrate_models(root: Path):
     from invokeai.backend.install.migrate_to_3 import do_migrate
+
     do_migrate(root, root)