diff --git a/invokeai/backend/install/invokeai_configure.py b/invokeai/backend/install/invokeai_configure.py
index a863a98a8a..f379eb2569 100755
--- a/invokeai/backend/install/invokeai_configure.py
+++ b/invokeai/backend/install/invokeai_configure.py
@@ -33,12 +33,12 @@ from tqdm import tqdm
 from transformers import AutoFeatureExtractor
 
 import invokeai.configs as model_configs
-from invokeai.app.services.config import InvokeAIAppConfig
-from invokeai.app.services.config.config_default import get_config
+from invokeai.app.services.config import InvokeAIAppConfig, get_config
 from invokeai.backend.install.install_helper import InstallHelper, InstallSelections
 from invokeai.backend.model_manager import ModelType
 from invokeai.backend.util import choose_precision, choose_torch_device
 from invokeai.backend.util.logging import InvokeAILogger
+from invokeai.frontend.cli.arg_parser import InvokeAIArgs
 from invokeai.frontend.install.model_install import addModelsForm
 
 # TO DO - Move all the frontend code into invokeai.frontend.install
@@ -63,8 +63,7 @@ def get_literal_fields(field: str) -> Tuple[Any]:
 
 
 # --------------------------globals-----------------------
-
-config = get_config()
+config = None
 
 PRECISION_CHOICES = get_literal_fields("precision")
 DEVICE_CHOICES = get_literal_fields("device")
@@ -745,6 +744,8 @@ def is_v2_install(root: Path) -> bool:
 # -------------------------------------
 def main() -> None:
     global FORCE_FULL_PRECISION  # FIXME
+    global config
+
     parser = argparse.ArgumentParser(description="InvokeAI model downloader")
     parser.add_argument(
         "--skip-sd-weights",
@@ -787,10 +788,12 @@ def main() -> None:
         default=None,
         help="path to root of install directory",
     )
+
     opt = parser.parse_args()
     updates: dict[str, Any] = {}
-    if opt.root:
-        config.set_root(Path(opt.root))
+
+    InvokeAIArgs.args = opt
+    config = get_config()
     if opt.full_precision:
         updates["precision"] = "float32"
 
diff --git a/invokeai/backend/util/devices.py b/invokeai/backend/util/devices.py
index b99a5932fd..e02015614e 100644
--- a/invokeai/backend/util/devices.py
+++ b/invokeai/backend/util/devices.py
@@ -12,11 +12,11 @@ from invokeai.app.services.config.config_default import get_config
 CPU_DEVICE = torch.device("cpu")
 CUDA_DEVICE = torch.device("cuda")
 MPS_DEVICE = torch.device("mps")
-config = get_config()
 
 
 def choose_torch_device() -> torch.device:
     """Convenience routine for guessing which GPU device to run model on"""
+    config = get_config()
     if config.device == "auto":
         if torch.cuda.is_available():
             return torch.device("cuda")
@@ -34,7 +34,7 @@ def choose_precision(
     device: torch.device, app_config: Optional[InvokeAIAppConfig] = None
 ) -> Literal["float32", "float16", "bfloat16"]:
     """Return an appropriate precision for the given torch device."""
-    app_config = app_config or config
+    app_config = app_config or get_config()
     if device.type == "cuda":
         device_name = torch.cuda.get_device_name(device)
         if not ("GeForce GTX 1660" in device_name or "GeForce GTX 1650" in device_name):
diff --git a/invokeai/backend/util/logging.py b/invokeai/backend/util/logging.py
index 9f5381db34..968604eb3d 100644
--- a/invokeai/backend/util/logging.py
+++ b/invokeai/backend/util/logging.py
@@ -339,7 +339,8 @@ class InvokeAILogger(object):  # noqa D102
     loggers: Dict[str, logging.Logger] = {}
 
     @classmethod
-    def get_logger(cls, name: str = "InvokeAI", config: InvokeAIAppConfig = get_config()) -> logging.Logger:  # noqa D102
+    def get_logger(cls, name: str = "InvokeAI", config: Optional[InvokeAIAppConfig] = None) -> logging.Logger:  # noqa D102
+        config = config or get_config()
         if name in cls.loggers:
             return cls.loggers[name]
 
diff --git a/invokeai/frontend/cli/arg_parser.py b/invokeai/frontend/cli/arg_parser.py
index 0df2b67b7c..452cb38246 100644
--- a/invokeai/frontend/cli/arg_parser.py
+++ b/invokeai/frontend/cli/arg_parser.py
@@ -30,11 +30,11 @@ class InvokeAIArgs:
     Example:
     ```
     # In a CLI wrapper
-    from invokeai.frontend.cli.app_arg_parser import InvokeAIArgs
+    from invokeai.frontend.cli.arg_parser import InvokeAIArgs
     InvokeAIArgs.parse_args()
 
     # In the application
-    from invokeai.frontend.cli.app_arg_parser import InvokeAIArgs
+    from invokeai.frontend.cli.arg_parser import InvokeAIArgs
     args = InvokeAIArgs.args
     """
 
diff --git a/tests/test_config.py b/tests/test_config.py
index 617e28785d..c1dfd01f0a 100644
--- a/tests/test_config.py
+++ b/tests/test_config.py
@@ -1,3 +1,4 @@
+import sys
 from pathlib import Path
 from tempfile import TemporaryDirectory
 from typing import Any
@@ -7,6 +8,7 @@ from omegaconf import OmegaConf
 from pydantic import ValidationError
 
 from invokeai.app.services.config.config_default import InvokeAIAppConfig, get_config, load_and_migrate_config
+from invokeai.frontend.cli.arg_parser import InvokeAIArgs
 
 v4_config = """
 schema_version: 4
@@ -76,6 +78,13 @@ def test_read_config_from_file(tmp_path: Path):
     assert config.port == 8080
 
 
+def test_arg_parsing():
+    sys.argv = ["test_config.py", "--root", "/tmp"]
+    InvokeAIArgs.parse_args()
+    config = get_config()
+    assert config.root_path == Path("/tmp")
+
+
 def test_migrate_v3_config_from_file(tmp_path: Path):
     """Test reading configuration from a file."""
     temp_config_file = tmp_path / "temp_invokeai.yaml"