Update app.py

app.py

@@ -14,12 +14,13 @@ pipe.enable_xformers_memory_efficient_attention()
 torch.cuda.empty_cache()
 
 def genie (Prompt, negative_prompt, height, width, scale, steps, seed):
+    torch.cuda.empty_cache()
+    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()
     refiner = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-refiner-1.0", use_safetensors=True, torch_dtype=torch.float16, variant="fp16").to(device)
     refiner.enable_xformers_memory_efficient_attention()
     torch.cuda.empty_cache()
-    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
     image = refiner(Prompt, negative_prompt=negative_prompt, image=int_image, denoising_start=.99).images[0]
     torch.cuda.empty_cache()