diff --git a/monai/apps/generation/maisi/networks/autoencoderkl_maisi.py b/monai/apps/generation/maisi/networks/autoencoderkl_maisi.py
index 533da32fa0..f27f73ec60 100644
--- a/monai/apps/generation/maisi/networks/autoencoderkl_maisi.py
+++ b/monai/apps/generation/maisi/networks/autoencoderkl_maisi.py
@@ -27,13 +27,11 @@
 AutoencoderKL, has_autoencoderkl = optional_import("generative.networks.nets.autoencoderkl", name="AutoencoderKL")
 ResBlock, has_resblock = optional_import("generative.networks.nets.autoencoderkl", name="ResBlock")
 
-
 if TYPE_CHECKING:
     from generative.networks.nets.autoencoderkl import AutoencoderKL as AutoencoderKLType
 else:
     AutoencoderKLType = cast(type, AutoencoderKL)
 
-
 # Set up logging configuration
 logger = logging.getLogger(__name__)
 
diff --git a/tests/test_autoencoderkl_maisi.py b/tests/test_autoencoderkl_maisi.py
index e88dc469c9..392a3d7db2 100644
--- a/tests/test_autoencoderkl_maisi.py
+++ b/tests/test_autoencoderkl_maisi.py
@@ -29,7 +29,6 @@
 
 device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
 
-
 CASES_NO_ATTENTION = [
     [
         {
@@ -82,6 +81,7 @@
 
 @unittest.skipUnless(has_generative, "monai-generative required")
 class TestAutoencoderKlMaisi(unittest.TestCase):
+
     @parameterized.expand(CASES)
     def test_shape(self, input_param, input_shape, expected_shape, expected_latent_shape):
         net = AutoencoderKlMaisi(**input_param).to(device)
diff --git a/tests/test_controlnet_maisi.py b/tests/test_controlnet_maisi.py
index b522b750c8..7b0e69f2c8 100644
--- a/tests/test_controlnet_maisi.py
+++ b/tests/test_controlnet_maisi.py
@@ -130,6 +130,7 @@
 @SkipIfBeforePyTorchVersion((2, 0))
 @skipUnless(has_generative, "monai-generative required")
 class TestControlNet(unittest.TestCase):
+
     @parameterized.expand(TEST_CASES)
     def test_shape_unconditioned_models(self, input_param, expected_num_down_blocks_residuals, expected_shape):
         net = ControlNetMaisi(**input_param)
diff --git a/tests/test_diffusion_model_unet_maisi.py b/tests/test_diffusion_model_unet_maisi.py
index b5c14192d9..059a4a4ba8 100644
--- a/tests/test_diffusion_model_unet_maisi.py
+++ b/tests/test_diffusion_model_unet_maisi.py
@@ -26,7 +26,6 @@
 if has_generative:
     from monai.apps.generation.maisi.networks.diffusion_model_unet_maisi import DiffusionModelUNetMaisi
 
-
 UNCOND_CASES_2D = [
     [
         {
@@ -294,6 +293,7 @@
 
 @skipUnless(has_generative, "monai-generative required")
 class TestDiffusionModelUNetMaisi2D(unittest.TestCase):
+
     @parameterized.expand(UNCOND_CASES_2D)
     @skipUnless(has_einops, "Requires einops")
     def test_shape_unconditioned_models(self, input_param):
@@ -512,6 +512,7 @@ def test_shape_with_additional_inputs(self, input_param):
 
 @skipUnless(has_generative, "monai-generative required")
 class TestDiffusionModelUNetMaisi3D(unittest.TestCase):
+
     @parameterized.expand(UNCOND_CASES_3D)
     @skipUnless(has_einops, "Requires einops")
     def test_shape_unconditioned_models(self, input_param):