Update app.py

app.py

@@ -16,14 +16,14 @@ torch.cuda.max_memory_allocated(device=device)
 def genie (prompt, negative_prompt, scale, steps, seed):
     pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-0.9", torch_dtype=torch.float16, variant="fp16", use_safetensors=True)
     pipe = pipe.to(device)
-    pipe.enable_xformers_memory_efficient_attention()
+    #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, guidance_scale=scale, num_images_per_prompt=1, generator=generator, ).images
     torch.cuda.empty_cache()
     pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-refiner-0.9", torch_dtype=torch.float16, variant="fp16", use_safetensors=True)
     pipe = pipe.to(device)
-    pipe.enable_xformers_memory_efficient_attention()
+    #pipe.enable_xformers_memory_efficient_attention()
     torch.cuda.empty_cache()
     image = pipe(prompt=prompt, image=int_image).images[0]
     return image
@@ -33,6 +33,6 @@ gr.Interface(fn=genie, inputs=[gr.Textbox(label='What you want the AI to generat
     gr.Slider(1, 15, 10), gr.Slider(25, maximum=100, value=50, step=1), 
     gr.Slider(minimum=1, step=1, maximum=999999999999999999, randomize=True)], 
     outputs='image', 
-    title="Stable Diffusion XL .9 CPU", 
+    title="Stable Diffusion XL 0.9 GPU", 
     description="SDXL 0.9 GPU. <b>WARNING:</b> Capable of producing NSFW images.", 
     article = "Code Monkey: <a href=\"https://huggingface.co/Manjushri\">Manjushri</a>").launch(debug=True, max_threads=80)