Update app.py

app.py

@@ -16,15 +16,15 @@ if torch.cuda.is_available():
     refiner.enable_xformers_memory_efficient_attention()
     refiner.enable_sequential_cpu_offload()
 else: 
-pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", use_safetensors=True)
-pipe = pipe.to(device)
-refiner = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-refiner-1.0", use_safetensors=True)
-refiner = refiner.to(device)
+    pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", use_safetensors=True)
+    pipe = pipe.to(device)
+    refiner = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-refiner-1.0", use_safetensors=True)
+    refiner = refiner.to(device)
 
 def genie (prompt, negative_prompt, scale, steps, seed):
-     generator = torch.Generator(device=device).manual_seed(seed)
-     int_image = pipe(prompt, negative_prompt=negative_prompt, num_inference_steps=steps, guidance_scale=scale, num_images_per_prompt=1, generator=generator, width=768, height=768, output_type="latent").images 
-     image = refiner(prompt=prompt, negative_prompt=negative_prompt, image=int_image).images[0]
-     return image
+    generator = torch.Generator(device=device).manual_seed(seed)
+    int_image = pipe(prompt, negative_prompt=negative_prompt, num_inference_steps=steps, guidance_scale=scale, num_images_per_prompt=1, generator=generator, width=768, height=768, output_type="latent").images 
+    image = refiner(prompt=prompt, negative_prompt=negative_prompt, image=int_image).images[0]
+    return image
     
 gr.Interface(fn=genie, inputs=[gr.Textbox(label='What you want the AI to generate. 77 Token Limit.'), gr.Textbox(label='What you Do Not want the AI to generate.'), gr.Slider(1, 15, 10), gr.Slider(25, maximum=50, value=25, step=1), gr.Slider(minimum=1, step=1, maximum=999999999999999999, randomize=True)], outputs='image', title="Stable Diffusion XL 1.0 CPU", description="SDXL 1.0 CPU. <b>WARNING:</b> Extremely Slow. 65s/Iteration. Expect 25-50mins an image for 25-50 iterations respectively.", article = "Code Monkey: <a href=\"https://huggingface.co/Manjushri\">Manjushri</a>").launch(debug=True, max_threads=80)