diff --git a/optimum/intel/__init__.py b/optimum/intel/__init__.py
index cd93a68c66..5fe65dcd41 100644
--- a/optimum/intel/__init__.py
+++ b/optimum/intel/__init__.py
@@ -160,20 +160,20 @@
             raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
         from .utils.dummy_openvino_and_diffusers_objects import (
+            OVLatentConsistencyModelPipeline,
             OVStableDiffusionImg2ImgPipeline,
             OVStableDiffusionInpaintPipeline,
             OVStableDiffusionPipeline,
             OVStableDiffusionXLImg2ImgPipeline,
-            OVLatentConsistencyModelPipeline,
             OVStableDiffusionXLPipeline,
         )
     else:
         from .openvino import (
+            OVLatentConsistencyModelPipeline,
             OVStableDiffusionImg2ImgPipeline,
             OVStableDiffusionInpaintPipeline,
             OVStableDiffusionPipeline,
             OVStableDiffusionXLImg2ImgPipeline,
-            OVLatentConsistencyModelPipeline,
             OVStableDiffusionXLPipeline,
         )
 
diff --git a/optimum/intel/openvino/__init__.py b/optimum/intel/openvino/__init__.py
index a7bcbfbce0..7ed550ceb0 100644
--- a/optimum/intel/openvino/__init__.py
+++ b/optimum/intel/openvino/__init__.py
@@ -51,10 +51,10 @@
 
 if is_diffusers_available():
     from .modeling_diffusion import (
+        OVLatentConsistencyModelPipeline,
         OVStableDiffusionImg2ImgPipeline,
         OVStableDiffusionInpaintPipeline,
         OVStableDiffusionPipeline,
         OVStableDiffusionXLImg2ImgPipeline,
         OVStableDiffusionXLPipeline,
-        OVLatentConsistencyModelPipeline,
     )
diff --git a/optimum/intel/openvino/modeling_diffusion.py b/optimum/intel/openvino/modeling_diffusion.py
index bc63268bdb..2d0a31b428 100644
--- a/optimum/intel/openvino/modeling_diffusion.py
+++ b/optimum/intel/openvino/modeling_diffusion.py
@@ -37,13 +37,12 @@
 from openvino.runtime import Core
 from transformers import CLIPFeatureExtractor, CLIPTokenizer
 
+from optimum.pipelines.diffusers.pipeline_latent_consistency import LatentConsistencyPipelineMixin
 from optimum.pipelines.diffusers.pipeline_stable_diffusion import StableDiffusionPipelineMixin
 from optimum.pipelines.diffusers.pipeline_stable_diffusion_img2img import StableDiffusionImg2ImgPipelineMixin
 from optimum.pipelines.diffusers.pipeline_stable_diffusion_inpaint import StableDiffusionInpaintPipelineMixin
 from optimum.pipelines.diffusers.pipeline_stable_diffusion_xl import StableDiffusionXLPipelineMixin
 from optimum.pipelines.diffusers.pipeline_stable_diffusion_xl_img2img import StableDiffusionXLImg2ImgPipelineMixin
-from optimum.pipelines.diffusers.pipeline_latent_consistency import LatentConsistencyPipelineMixin
-
 from optimum.pipelines.diffusers.pipeline_utils import VaeImageProcessor
 from optimum.utils import (
     DIFFUSION_MODEL_TEXT_ENCODER_2_SUBFOLDER,
@@ -274,7 +273,6 @@ def _from_pretrained(
 
         return cls(unet=unet, config=config, model_save_dir=model_save_dir, **components, **kwargs)
 
-
     @classmethod
     def _from_transformers(
         cls,
diff --git a/optimum/intel/utils/dummy_openvino_and_diffusers_objects.py b/optimum/intel/utils/dummy_openvino_and_diffusers_objects.py
index 0b108cc5f7..78016ea71c 100644
--- a/optimum/intel/utils/dummy_openvino_and_diffusers_objects.py
+++ b/optimum/intel/utils/dummy_openvino_and_diffusers_objects.py
@@ -70,7 +70,6 @@ def from_pretrained(cls, *args, **kwargs):
         requires_backends(cls, ["openvino", "diffusers"])
 
 
-
 class OVLatentConsistencyModelPipeline(metaclass=DummyObject):
     _backends = ["openvino", "diffusers"]
 
@@ -80,4 +79,3 @@ def __init__(self, *args, **kwargs):
     @classmethod
     def from_pretrained(cls, *args, **kwargs):
         requires_backends(cls, ["openvino", "diffusers"])
-
diff --git a/tests/openvino/test_stable_diffusion.py b/tests/openvino/test_stable_diffusion.py
index 5e25a7eb48..1fce7c3fc8 100644
--- a/tests/openvino/test_stable_diffusion.py
+++ b/tests/openvino/test_stable_diffusion.py
@@ -25,22 +25,21 @@
     StableDiffusionXLImg2ImgPipeline,
     StableDiffusionXLPipeline,
 )
-from packaging.version import Version, parse
 from diffusers.utils import load_image
 from diffusers.utils.testing_utils import floats_tensor
 from openvino.runtime.ie_api import CompiledModel
+from packaging.version import Version, parse
 from parameterized import parameterized
 from utils_tests import MODEL_NAMES, SEED
 
 from optimum.intel import (
+    OVLatentConsistencyModelPipeline,
     OVStableDiffusionImg2ImgPipeline,
     OVStableDiffusionInpaintPipeline,
     OVStableDiffusionPipeline,
     OVStableDiffusionXLImg2ImgPipeline,
     OVStableDiffusionXLPipeline,
-    OVLatentConsistencyModelPipeline,
 )
-from optimum.utils.import_utils import _diffusers_version
 from optimum.intel.openvino.modeling_diffusion import (
     OVModelTextEncoder,
     OVModelUnet,
@@ -53,6 +52,7 @@
     ORTStableDiffusionXLImg2ImgPipeline,
     ORTStableDiffusionXLPipeline,
 )
+from optimum.utils.import_utils import _diffusers_version
 
 
 def _generate_inputs(batch_size=1):
@@ -528,7 +528,6 @@ def test_compare_to_diffusers(self, model_arch: str):
         # Compare model devices
         self.assertEqual(pipeline.device.type, ov_pipeline.device)
 
-
     @parameterized.expand(SUPPORTED_ARCHITECTURES)
     @unittest.skipIf(parse(_diffusers_version) <= Version("0.21.4"), "not supported with this diffusers version")
     def test_num_images_per_prompt_static_model(self, model_arch: str):
@@ -544,5 +543,3 @@ def test_num_images_per_prompt_static_model(self, model_arch: str):
             inputs = _generate_inputs(batch_size)
             outputs = pipeline(**inputs, num_images_per_prompt=num_images, height=_height, width=width).images
             self.assertEqual(outputs.shape, (batch_size * num_images, height, width, 3))
-
-