Update app.py

app.py

@@ -21,6 +21,9 @@ else:
     refiner = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-refiner-1.0", use_safetensors=True)
     refiner = refiner.to(device)
 
+n_steps = 40
+high_noise_frac = 0.8
+
 def genie (prompt, negative_prompt, height, width, scale, steps, seed, prompt_2, negative_prompt_2):
     generator = torch.Generator(device=device).manual_seed(seed)
     int_image = pipe(prompt, prompt_2=prompt_2, negative_prompt_2=negative_prompt_2, negative_prompt=negative_prompt, height=height, width=width, num_inference_steps=steps, guidance_scale=scale, num_images_per_prompt=1, generator=generator, output_type="latent").images