diff --git a/scripts/convert_ltx2_to_diffusers.py b/scripts/convert_ltx2_to_diffusers.py
index 2794feffed..72b334b71e 100644
--- a/scripts/convert_ltx2_to_diffusers.py
+++ b/scripts/convert_ltx2_to_diffusers.py
@@ -374,7 +374,9 @@ def convert_ltx2_connectors(original_state_dict: Dict[str, Any], version: str) -
     return connectors
 
 
-def get_ltx2_video_vae_config(version: str, timestep_conditioning: bool = False) -> Tuple[Dict[str, Any], Dict[str, Any], Dict[str, Any]]:
+def get_ltx2_video_vae_config(
+    version: str, timestep_conditioning: bool = False
+) -> Tuple[Dict[str, Any], Dict[str, Any], Dict[str, Any]]:
     if version == "test":
         config = {
             "model_id": "diffusers-internal-dev/dummy-ltx2",
@@ -452,7 +454,9 @@ def get_ltx2_video_vae_config(version: str, timestep_conditioning: bool = False)
     return config, rename_dict, special_keys_remap
 
 
-def convert_ltx2_video_vae(original_state_dict: Dict[str, Any], version: str, timestep_conditioning: bool) -> Dict[str, Any]:
+def convert_ltx2_video_vae(
+    original_state_dict: Dict[str, Any], version: str, timestep_conditioning: bool
+) -> Dict[str, Any]:
     config, rename_dict, special_keys_remap = get_ltx2_video_vae_config(version, timestep_conditioning)
     diffusers_config = config["diffusers_config"]
 
@@ -719,7 +723,9 @@ def get_args():
         help="Latent upsampler filename",
     )
 
-    parser.add_argument("--timestep_conditioning", action="store_true", help="Whether to add timestep condition to the video VAE model")
+    parser.add_argument(
+        "--timestep_conditioning", action="store_true", help="Whether to add timestep condition to the video VAE model"
+    )
     parser.add_argument("--vae", action="store_true", help="Whether to convert the video VAE model")
     parser.add_argument("--audio_vae", action="store_true", help="Whether to convert the audio VAE model")
     parser.add_argument("--dit", action="store_true", help="Whether to convert the DiT model")
@@ -789,7 +795,9 @@ def main(args):
             original_vae_ckpt = load_hub_or_local_checkpoint(filename=args.vae_filename)
         elif combined_ckpt is not None:
             original_vae_ckpt = get_model_state_dict_from_combined_ckpt(combined_ckpt, args.vae_prefix)
-        vae = convert_ltx2_video_vae(original_vae_ckpt, version=args.version, timestep_conditioning=args.timestep_conditioning)
+        vae = convert_ltx2_video_vae(
+            original_vae_ckpt, version=args.version, timestep_conditioning=args.timestep_conditioning
+        )
         if not args.full_pipeline and not args.upsample_pipeline:
             vae.to(vae_dtype).save_pretrained(os.path.join(args.output_path, "vae"))
 
diff --git a/src/diffusers/pipelines/ltx2/utils.py b/src/diffusers/pipelines/ltx2/utils.py
index 99c82c82c1..bd0ae08c10 100644
--- a/src/diffusers/pipelines/ltx2/utils.py
+++ b/src/diffusers/pipelines/ltx2/utils.py
@@ -1,4 +1,4 @@
 DISTILLED_SIGMA_VALUES = [1.0, 0.99375, 0.9875, 0.98125, 0.975, 0.909375, 0.725, 0.421875, 0.0]
 
 # Reduced schedule for super-resolution stage 2 (subset of distilled values)
-STAGE_2_DISTILLED_SIGMA_VALUES = [0.909375, 0.725, 0.421875, 0.0]
\ No newline at end of file
+STAGE_2_DISTILLED_SIGMA_VALUES = [0.909375, 0.725, 0.421875, 0.0]