diff --git a/invokeai/backend/image_util/seamless.py b/invokeai/backend/image_util/seamless.py
index 6fb2617901..8a2580bfcc 100644
--- a/invokeai/backend/image_util/seamless.py
+++ b/invokeai/backend/image_util/seamless.py
@@ -20,7 +20,8 @@ def _conv_forward_asymmetric(self, input, weight, bias):
 
 def configure_model_padding(model, seamless, seamless_axes):
     """
-    Modifies the 2D convolution layers to use a circular padding mode based on the `seamless` and `seamless_axes` options.
+    Modifies the 2D convolution layers to use a circular padding mode based on
+    the `seamless` and `seamless_axes` options.
     """
     # TODO: get an explicit interface for this in diffusers: https://github.com/huggingface/diffusers/issues/556
     for m in model.modules():
diff --git a/invokeai/backend/model_management/seamless.py b/invokeai/backend/model_management/seamless.py
index 4e9587a86f..997ff3563f 100644
--- a/invokeai/backend/model_management/seamless.py
+++ b/invokeai/backend/model_management/seamless.py
@@ -1,10 +1,10 @@
 from __future__ import annotations
 
 from contextlib import contextmanager
-from typing import Union, List
-import diffusers
+from typing import List, Union
+
 import torch.nn as nn
-from diffusers.models import UNet2DModel, AutoencoderKL
+from diffusers.models import AutoencoderKL, UNet2DModel
 
 
 def _conv_forward_asymmetric(self, input, weight, bias):