diff --git a/invokeai/backend/model_manager/load/model_loaders/controlnet.py b/invokeai/backend/model_manager/load/model_loaders/controlnet.py
index 6b88e279ba..b2fae37d29 100644
--- a/invokeai/backend/model_manager/load/model_loaders/controlnet.py
+++ b/invokeai/backend/model_manager/load/model_loaders/controlnet.py
@@ -31,9 +31,7 @@ class ControlNetLoader(GenericDiffusersLoader):
         if isinstance(config, ControlNetCheckpointConfig):
             return ControlNetModel.from_single_file(
                 config.path,
-                config=self._app_config.legacy_conf_path / config.config_path,
                 torch_dtype=self._torch_dtype,
-                local_files_only=True,
             )
         else:
             return super()._load_model(config, submodel_type)
diff --git a/invokeai/backend/model_manager/load/model_loaders/stable_diffusion.py b/invokeai/backend/model_manager/load/model_loaders/stable_diffusion.py
index 829c4a9d5c..95caf848e5 100644
--- a/invokeai/backend/model_manager/load/model_loaders/stable_diffusion.py
+++ b/invokeai/backend/model_manager/load/model_loaders/stable_diffusion.py
@@ -105,7 +105,6 @@ class StableDiffusionDiffusersModel(GenericDiffusersLoader):
             load_class = load_classes[config.base][config.variant]
         except KeyError as e:
             raise Exception(f"No diffusers pipeline known for base={config.base}, variant={config.variant}") from e
-        original_config_file = self._app_config.legacy_conf_path / config.config_path
         prediction_type = config.prediction_type.value
         upcast_attention = config.upcast_attention
 
@@ -120,9 +119,7 @@ class StableDiffusionDiffusersModel(GenericDiffusersLoader):
         with SilenceWarnings():
             pipeline = load_class.from_single_file(
                 config.path,
-                config=original_config_file,
                 torch_dtype=self._torch_dtype,
-                local_files_only=True,
                 prediction_type=prediction_type,
                 upcast_attention=upcast_attention,
                 load_safety_checker=False,
diff --git a/invokeai/backend/model_manager/load/model_loaders/vae.py b/invokeai/backend/model_manager/load/model_loaders/vae.py
index d6a82479f8..3c496f59ab 100644
--- a/invokeai/backend/model_manager/load/model_loaders/vae.py
+++ b/invokeai/backend/model_manager/load/model_loaders/vae.py
@@ -30,9 +30,7 @@ class VAELoader(GenericDiffusersLoader):
         if isinstance(config, VAECheckpointConfig):
             return AutoencoderKL.from_single_file(
                 config.path,
-                config=self._app_config.legacy_conf_path / config.config_path,
                 torch_dtype=self._torch_dtype,
-                local_files_only=True,
             )
         else:
             return super()._load_model(config, submodel_type)