Update app.py

app.py

@@ -135,15 +135,7 @@ def generate(
             pipe.load_lora_weights(lora2, adapter_name="2")
             pipe.set_adapters(["1", "2"], adapter_weights=[lora_scale, lora_scale2])
 
-        if ENABLE_CPU_OFFLOAD:
-            pipe.enable_model_cpu_offload()
-            
-        else:
-            pipe.to(device)
-
-        if USE_TORCH_COMPILE:
-            pipe.unet = torch.compile(pipe.unet, mode="reduce-overhead", fullgraph=True)
-            
+    pipe.enable_model_cpu_offload()     
     generator = torch.Generator().manual_seed(seed)
     
     if not use_negative_prompt: