Update app.py

app.py

@@ -10,12 +10,12 @@ device = 'cuda' if torch.cuda.is_available() else 'cpu'
 torch.cuda.max_memory_allocated(device=device)
 torch.cuda.empty_cache()
 pipe = DiffusionPipeline.from_pretrained("circulus/canvers-fusionXL-v1").to(device)
-pipe.enable_xformers_memory_efficient_attention()
+#pipe.enable_xformers_memory_efficient_attention()
 torch.cuda.empty_cache()
 
 torch.cuda.max_memory_allocated(device=device)
 refiner = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-refiner-1.0").to(device)
-refiner.enable_xformers_memory_efficient_attention()
+#refiner.enable_xformers_memory_efficient_attention()
 torch.cuda.empty_cache()