Update app.py

app.py

@@ -10,7 +10,7 @@ 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()
 
 def genie (Prompt, negative_prompt, height, width, scale, steps, seed):
@@ -19,7 +19,7 @@ def genie (Prompt, negative_prompt, height, width, scale, steps, seed):
     int_image = pipe(Prompt, negative_prompt=negative_prompt, height=height, width=width, num_inference_steps=steps, guidance_scale=scale, output_type="latent").images
     torch.cuda.empty_cache()
     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()
     image = refiner(Prompt, negative_prompt=negative_prompt, image=int_image, denoising_start=.99).images[0]
     torch.cuda.empty_cache()