diff --git a/models/turbine_models/custom_models/pipeline_base.py b/models/turbine_models/custom_models/pipeline_base.py
index 3d6f9ea1..9499e518 100644
--- a/models/turbine_models/custom_models/pipeline_base.py
+++ b/models/turbine_models/custom_models/pipeline_base.py
@@ -437,6 +437,7 @@ def prepare_all(
         vmfbs: dict = {},
         weights: dict = {},
         interactive: bool = False,
+        num_steps: int = 20,
     ):
         ready = self.is_prepared(vmfbs, weights)
         match ready:
@@ -463,7 +464,7 @@ def prepare_all(
                     if not self.map[submodel].get("weights") and self.map[submodel][
                         "export_args"
                     ].get("external_weights"):
-                        self.export_submodel(submodel, weights_only=True)
+                        self.export_submodel(submodel, weights_only=True, num_steps=num_steps)
                 return self.prepare_all(mlirs, vmfbs, weights, interactive)
 
     def is_prepared(self, vmfbs, weights):
@@ -581,6 +582,7 @@ def export_submodel(
         submodel: str,
         input_mlir: str = None,
         weights_only: bool = False,
+        num_steps: int = 20,
     ):
         if not os.path.exists(self.pipeline_dir):
             os.makedirs(self.pipeline_dir)
@@ -672,6 +674,7 @@ def export_submodel(
                     self.map[submodel]["export_args"]["max_length"],
                     "produce_img_split",
                     unet_module_name=self.map["unet"]["module_name"],
+                    num_steps=num_steps,
                 )
                 dims = [
                     self.map[submodel]["export_args"]["width"],
diff --git a/models/turbine_models/custom_models/sd_inference/sd_pipeline.py b/models/turbine_models/custom_models/sd_inference/sd_pipeline.py
index 74e871b6..c74b877b 100644
--- a/models/turbine_models/custom_models/sd_inference/sd_pipeline.py
+++ b/models/turbine_models/custom_models/sd_inference/sd_pipeline.py
@@ -831,7 +831,7 @@ def numpy_to_pil_image(images):
         False,
         args.compiled_pipeline,
     )
-    sd_pipe.prepare_all()
+    sd_pipe.prepare_all(num_steps=args.num_inference_steps)
     sd_pipe.load_map()
     sd_pipe.generate_images(
         args.prompt,