Update app.py

app.py

@@ -410,7 +410,7 @@ def main():
     device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
 
     x_start_pipeline = YOSONormalsPipeline.from_pretrained(
-        'Stable-X/yoso-normal-v0-2', trust_remote_code=True, variant="fp16", torch_dtype=torch.float16).to(device)
+        'Stable-X/yoso-normal-v0-3', trust_remote_code=True, variant="fp16", torch_dtype=torch.float16).to(device)
     pipe = StableNormalPipeline.from_pretrained('Stable-X/stable-normal-v0-1', trust_remote_code=True,
                                                 variant="fp16", torch_dtype=torch.float16,
                                                 scheduler=HEURI_DDIMScheduler(prediction_type='sample',