diff --git a/invokeai/backend/model_manager/load/model_loaders/lora.py b/invokeai/backend/model_manager/load/model_loaders/lora.py
index e0dfd07dbe..13760dc11c 100644
--- a/invokeai/backend/model_manager/load/model_loaders/lora.py
+++ b/invokeai/backend/model_manager/load/model_loaders/lora.py
@@ -81,7 +81,10 @@ class LoRALoader(ModelLoader):
             state_dict = torch.load(model_path, map_location="cpu")
 
         # At the time of writing, we support the OMI standard for base models Flux and SDXL
-        if config.format == ModelFormat.OMI and self._model_base in [BaseModelType.StableDiffusionXL, BaseModelType.Flux]:
+        if config.format == ModelFormat.OMI and self._model_base in [
+            BaseModelType.StableDiffusionXL,
+            BaseModelType.Flux,
+        ]:
             state_dict = convert_from_omi(state_dict, config.base)  # type: ignore
 
         # Apply state_dict key conversions, if necessary.
diff --git a/invokeai/backend/model_manager/omi.py b/invokeai/backend/model_manager/omi.py
index a94c5b9ff2..e595e6d442 100644
--- a/invokeai/backend/model_manager/omi.py
+++ b/invokeai/backend/model_manager/omi.py
@@ -1,7 +1,5 @@
 import omi_model_standards.convert.lora.convert_lora_util as lora_util
 from omi_model_standards.convert.lora.convert_flux_lora import convert_flux_lora_key_sets
-from omi_model_standards.convert.lora.convert_sd3_lora import convert_sd3_lora_key_sets
-from omi_model_standards.convert.lora.convert_sd_lora import convert_sd_lora_key_sets
 from omi_model_standards.convert.lora.convert_sdxl_lora import convert_sdxl_lora_key_sets
 
 from invokeai.backend.model_manager.model_on_disk import StateDict
@@ -15,4 +13,4 @@ def convert_from_omi(weights_sd: StateDict, base: BaseModelType):
     }[base]
     source = "omi"
     target = "legacy_diffusers"
-    return lora_util.__convert(weights_sd, keyset, source, target) # type: ignore
+    return lora_util.__convert(weights_sd, keyset, source, target)  # type: ignore