Update app.py

app.py

@@ -14,10 +14,12 @@ pipe = DiffusionPipeline.from_pretrained("circulus/canvers-fusionXL-v1").to(devi
 torch.cuda.empty_cache()
 
 def genie (Prompt, negative_prompt, height, width, scale, steps, seed):
-    
+    torch.cuda.empty_cache()
+    torch.cuda.max_memory_allocated(device=device)
     generator = np.random.seed(0) if seed == 0 else torch.manual_seed(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()
+    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()
     torch.cuda.empty_cache()