[WEB][SD] Make unet tuned model default for rdna3 devices (#642)

web/models/stable_diffusion/cache_objects.py

@@ -9,6 +9,7 @@
 from models.stable_diffusion.opt_params import get_unet, get_vae, get_clip
 from models.stable_diffusion.utils import set_iree_runtime_flags
 from models.stable_diffusion.stable_args import args
+from shark.iree_utils.vulkan_utils import get_vulkan_triple_flag
 
 
 model_config = {
@@ -39,6 +40,9 @@
     subfolder="scheduler",
 )
 
+# set use_tuned
+if "rdna3" not in get_vulkan_triple_flag():
+    args.use_tuned = False
 
 # set iree-runtime flags
 set_iree_runtime_flags(args)

web/models/stable_diffusion/opt_params.py

@@ -18,7 +18,10 @@ def get_unet(args):
     if args.precision == "fp16":
         if args.use_tuned:
             bucket = "gs://shark_tank/vivian"
-            model_name = "unet_1dec_fp16_tuned"
+            if args.version == "v1.4":
+                model_name = "unet_1dec_fp16_tuned"
+            if args.version == "v2.1base":
+                model_name = "unet2base_8dec_fp16_tuned"
             return get_shark_model(args, bucket, model_name, iree_flags)
         else:
             bucket = "gs://shark_tank/stable_diffusion"

web/models/stable_diffusion/stable_args.py

@@ -105,7 +105,7 @@
 
 p.add_argument(
     "--use_tuned",
-    default=False,
+    default=True,
     action=argparse.BooleanOptionalAction,
     help="Download and use the tuned version of the model if available",
 )