Update app.py

app.py

@@ -19,16 +19,17 @@ login(token=os.environ.get('HF_KEY'))
 #     font=[gr.themes.GoogleFont("Open Sans"), "ui-sans-serif", "system-ui", "sans-serif"],
 # )
 
+device = 'cpu'
+torch.cuda.max_memory_allocated(device='cpu')
+pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", torch_dtype=torch.float16, variant="fp16", use_safetensors=True)
+pipe = pipe.to(device)
+pipe.enable_xformers_memory_efficient_attention()
+torch.cuda.empty_cache()
+generator = torch.Generator(device=device).manual_seed(seed)
+
 def infer(prompt):
-    torch.cuda.max_memory_allocated(device='cpu')
-    pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", torch_dtype=torch.float16, variant="fp16", use_safetensors=True)
-    pipe = pipe.to(device)
-    pipe.enable_xformers_memory_efficient_attention()
-    torch.cuda.empty_cache()
-    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).images
+    int_image = pipe(prompt,num_images_per_prompt=1, generator=generator).images
     torch.cuda.empty_cache()
-    
     return int_image
 
 css = """