Update app.py

app.py

@@ -110,12 +110,15 @@ def load_and_prepare_model():
     #pipe.unet.to(memory_format=torch.channels_last)
     #pipe.enable_vae_tiling()
     pipe.to(device=device, dtype=torch.bfloat16)
+    '''
     pipe.unet.set_attn_processor(AttnProcessor2_0())
     for name, param in pipe.unet.named_parameters():
         if 'qkv' in name or 'norm' in name or 'proj' in name:
             param.requires_grad_()
         else:
             param.requires_grad_(False)
+    '''        
+    pipe.unet.requires_grad_(False)
     return pipe
     
 pipe = load_and_prepare_model()