Update app.py

app.py

@@ -10,13 +10,6 @@ WATERMARK_TEXT = "SelamGPT"
 DEVICE = "cuda" if torch.cuda.is_available() else "cpu"
 TORCH_DTYPE = torch.float16 if DEVICE == "cuda" else torch.float32
 
-try:
-    pipe.enable_xformers_memory_efficient_attention()
-except:
-    print("Xformers not available, using default attention")
-
-# ===== MODEL LOADING WITH GRADIO CACHE =====
-@gr.Cache()  # Now works in Gradio 5.x
 def load_model():
     pipe = DiffusionPipeline.from_pretrained(
         MODEL_NAME,