diff --git a/examples/inference/gradio/gradio_frontend.py b/examples/inference/gradio/gradio_frontend.py
index c66bed060..70c27de56 100644
--- a/examples/inference/gradio/gradio_frontend.py
+++ b/examples/inference/gradio/gradio_frontend.py
@@ -20,7 +20,10 @@ from fastvideo.configs.sample.base import SamplingParam
 MODEL_PATH_MAPPING = {
     "FastWan2.1-T2V-1.3B": "FastVideo/FastWan2.1-T2V-1.3B-Diffusers",
     "FastWan2.1-T2V-14B": "FastVideo/FastWan2.1-T2V-14B-Diffusers",
-    "FastWan2.2-TI2V-5B": "FastVideo/FastWan2.2-TI2V-5B-Diffusers"
+    "FastWan2.2-TI2V-5B": "FastVideo/FastWan2.2-TI2V-5B-Diffusers",
+    "Wan2.1-T2V-1.3B": "Wan-AI/Wan2.1-T2V-1.3B-Diffusers",
+    "Wan2.1-T2V-14B": "Wan-AI/Wan2.1-T2V-14B-Diffusers",
+    "Wan2.2-TI2V-5B": "Wan-AI/Wan2.2-TI2V-5B-Diffusers"
 }
 
 
@@ -441,8 +444,9 @@ def create_gradio_interface(backend_url: str, default_params: dict[str, Sampling
             model_selection = gr.Dropdown(
                 choices=[
                     "FastWan2.1-T2V-1.3B",
-                    "FastWan2.1-T2V-14B",
                     "FastWan2.2-TI2V-5B",
+                    "Wan2.1-T2V-1.3B",
+                    "Wan2.2-TI2V-5B",
                     # "Wan-AI/Wan2.1-I2V-14B-480P-Diffusers (Image-to-Video)"  # I2V functionality commented out
                 ],
                 value="FastWan2.1-T2V-1.3B",
diff --git a/examples/inference/gradio/ray_serve_backend.py b/examples/inference/gradio/ray_serve_backend.py
index 5006f0750..a2b5b2165 100644
--- a/examples/inference/gradio/ray_serve_backend.py
+++ b/examples/inference/gradio/ray_serve_backend.py
@@ -106,7 +106,7 @@ class T2VModelDeployment:
         os.makedirs(self.output_path, exist_ok=True)
 
         # Delay helps avoid GPU contention when many replicas start at once
-        time.sleep(5)
+        # time.sleep(5)
 
         # Ensure correct attention backend for FastVideo
         if "FastVideo" in self.model_path: