Update app.py

app.py

@@ -30,9 +30,6 @@ else:
     refiner = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-refiner-1.0", use_safetensors=True)
     refiner = refiner.to(device)
     
-torch.cuda.max_memory_allocated(device='cuda')
-torch.cuda.empty_cache()
-
 def genie (prompt, negative_prompt, height, width, scale, steps, seed, upscaler):
     generator = torch.Generator(device=device).manual_seed(seed)
     int_image = pipe(prompt, negative_prompt=negative_prompt, num_inference_steps=steps, height=height, width=width, guidance_scale=scale, num_images_per_prompt=1, generator=generator, output_type="latent").images