diff --git a/models/turbine_models/custom_models/sd_inference/utils.py b/models/turbine_models/custom_models/sd_inference/utils.py
index 2044863d0..5bee5a097 100644
--- a/models/turbine_models/custom_models/sd_inference/utils.py
+++ b/models/turbine_models/custom_models/sd_inference/utils.py
@@ -163,7 +163,7 @@ def replace_with_tk_kernels(flow_dialect_ir, batch_size):
     if batch_size == 1:
         kernels = [
             "https://raw.githubusercontent.com/nod-ai/sdxl-scripts/main/int8-model/tk_kernels/bs1/tk_gemm_fused_2x1024x10240x1280.mlir",
-            "https://raw.githubusercontent.com/nod-ai/sdxl-scripts/main/int8-model/tk_kernels/bs1/tk_gemm_fused_2x1024x1280x5120.mlir"
+            "https://raw.githubusercontent.com/nod-ai/sdxl-scripts/main/int8-model/tk_kernels/bs1/tk_gemm_fused_2x1024x1280x5120.mlir",
         ]
 
     # Replace all calls to old kernel with new kernel
@@ -192,8 +192,10 @@ def replace_with_tk_kernels(flow_dialect_ir, batch_size):
             if old_kernel in line and "func.func" in line:
                 data = urlopen(kernel).read().decode("utf-8")
                 data = data.split("\n")
-                idx_with_kernel_args = [idx for idx, s in enumerate(data) if 'func.func' in s][0]
-                kernel_args = data[idx_with_kernel_args].count('arg')
+                idx_with_kernel_args = [
+                    idx for idx, s in enumerate(data) if "func.func" in s
+                ][0]
+                kernel_args = data[idx_with_kernel_args].count("arg")
                 num_args = line.count("arg")
                 if num_args != kernel_args:
                     continue
@@ -552,11 +554,11 @@ def get_schedulers(model_id):
         model_id,
         subfolder="scheduler",
     )
-    schedulers["EulerAncestralDiscrete"] = (
-        EulerAncestralDiscreteScheduler.from_pretrained(
-            model_id,
-            subfolder="scheduler",
-        )
+    schedulers[
+        "EulerAncestralDiscrete"
+    ] = EulerAncestralDiscreteScheduler.from_pretrained(
+        model_id,
+        subfolder="scheduler",
     )
     # schedulers["DPMSolverSDE"] = DPMSolverSDEScheduler.from_pretrained(
     #     model_id,