Update app.py

Added pipe.enable_xformers_memory_efficient_attention()
upscaler.enable_xformers_memory_efficient_attention()
Set grRadio Value to No.

app.py

@@ -8,9 +8,12 @@ from diffusers import DiffusionPipeline, StableDiffusionLatentUpscalePipeline
 device = "cuda" if torch.cuda.is_available() else "cpu"
 
 pipe = DiffusionPipeline.from_pretrained("dreamlike-art/dreamlike-photoreal-2.0", torch_dtype=torch.float16, safety_checker=None)
+pipe = pipe.to(device)
+pipe.enable_xformers_memory_efficient_attention()
 upscaler = StableDiffusionLatentUpscalePipeline.from_pretrained("stabilityai/sd-x2-latent-upscaler", torch_dtype=torch.float16, safety_checker=None)
 upscaler = upscaler.to(device)
-pipe = pipe.to(device)
+upscaler.enable_xformers_memory_efficient_attention()
+
 
 def genie (Prompt, negative_prompt, height, width, scale, steps, seed, upscale):
     generator = torch.Generator(device=device).manual_seed(seed)
@@ -28,7 +31,7 @@ gr.Interface(fn=genie, inputs=[gr.Textbox(label='What you want the AI to generat
                                gr.Slider(1, maximum=15, value=10, step=.25), 
                                gr.Slider(25, maximum=100, value=50, step=25), 
                                gr.Slider(minimum=1, step=1, maximum=9999999999999999, randomize=True), 
-                               gr.Radio(["Yes", "No"], label='Upscale?'),
+                               gr.Radio(["Yes", "No"], label='Upscale?', value='No'),
                               ],
              outputs=gr.Image(label='Generated Image'), 
              title="PhotoReal V2 with SD x2 Upscaler - GPU",