diff --git a/shark/examples/shark_inference/stable_diffusion/main.py b/shark/examples/shark_inference/stable_diffusion/main.py
index a0f5fc58..3b7c3220 100644
--- a/shark/examples/shark_inference/stable_diffusion/main.py
+++ b/shark/examples/shark_inference/stable_diffusion/main.py
@@ -21,6 +21,9 @@ UNET_FP16 = "unet_fp16"
 UNET_FP32 = "unet_fp32"
 IREE_EXTRA_ARGS = []
 
+TUNED_GCLOUD_BUCKET = "gs://shark_tank/quinn"
+UNET_FP16_TUNED = "unet_fp16_tuned"
+
 # Helper function to profile the vulkan device.
 def start_profiling(file_path="foo.rdc", profiling_mode="queue"):
     if args.vulkan_debug_utils and "vulkan" in args.device:
@@ -42,24 +45,41 @@ def get_models():
     global IREE_EXTRA_ARGS
     if args.precision == "fp16":
         IREE_EXTRA_ARGS += [
-            "--iree-flow-enable-conv-nchw-to-nhwc-transform",
             "--iree-flow-enable-padding-linalg-ops",
             "--iree-flow-linalg-ops-padding-size=32",
-            "--iree-spirv-unify-aliased-resources=false",
         ]
+        if args.use_tuned:
+            unet_gcloud_bucket = TUNED_GCLOUD_BUCKET
+            vae_gcloud_bucket = GCLOUD_BUCKET
+            unet_args = IREE_EXTRA_ARGS
+            vae_args = IREE_EXTRA_ARGS + [
+                "--iree-flow-enable-conv-nchw-to-nhwc-transform"
+            ]
+            unet_name = UNET_FP16_TUNED
+            vae_name = VAE_FP16
+        else:
+            unet_gcloud_bucket = GCLOUD_BUCKET
+            vae_gcloud_bucket = GCLOUD_BUCKET
+            IREE_EXTRA_ARGS += [
+                "--iree-flow-enable-conv-nchw-to-nhwc-transform"
+            ]
+            unet_args = IREE_EXTRA_ARGS
+            vae_args = IREE_EXTRA_ARGS
+            unet_name = UNET_FP16
+            vae_name = VAE_FP16
         if args.import_mlir == True:
             return get_vae16(model_name=VAE_FP16), get_unet16_wrapped(
                 model_name=UNET_FP16
             )
         else:
             return get_shark_model(
-                GCLOUD_BUCKET,
-                VAE_FP16,
-                IREE_EXTRA_ARGS,
+                vae_gcloud_bucket,
+                vae_name,
+                vae_args,
             ), get_shark_model(
-                GCLOUD_BUCKET,
-                UNET_FP16,
-                IREE_EXTRA_ARGS,
+                unet_gcloud_bucket,
+                unet_name,
+                unet_args,
             )
 
     elif args.precision == "fp32":
diff --git a/shark/examples/shark_inference/stable_diffusion/stable_args.py b/shark/examples/shark_inference/stable_diffusion/stable_args.py
index 7bdd8834..c4b80c36 100644
--- a/shark/examples/shark_inference/stable_diffusion/stable_args.py
+++ b/shark/examples/shark_inference/stable_diffusion/stable_args.py
@@ -78,4 +78,11 @@ p.add_argument(
     help="Profiles vulkan device and collects the .rdc info",
 )
 
+p.add_argument(
+    "--use_tuned",
+    default=True,
+    action=argparse.BooleanOptionalAction,
+    help="Download and use the tuned version of the model if available",
+)
+
 args = p.parse_args()