Update app.py

app.py

@@ -62,7 +62,7 @@ pipe = StableDiffusion3Pipeline.from_pretrained("ford442/stable-diffusion-3.5-me
 
 #pipe.scheduler.config.requires_aesthetics_score = False
 #pipe.enable_model_cpu_offload()
-pipe.to(device)
+pipe.to(torch_device="cuda", torch_dtype=torch.bfloat16)
 #pipe = torch.compile(pipe)
 # pipe.scheduler = EulerAncestralDiscreteScheduler.from_config(pipe.scheduler.config, beta_schedule="scaled_linear")
 
@@ -264,7 +264,7 @@ with gr.Blocks(css=css) as demo:
                     minimum=0.0,
                     maximum=10.0,
                     step=0.1,
-                    value=5.0,  # Replace with defaults that work for your model
+                    value=4.2,  # Replace with defaults that work for your model
                 )
                 num_inference_steps = gr.Slider(
                     label="Number of inference steps",