Update app.py

app.py

@@ -23,7 +23,7 @@ MAX_SEED = np.iinfo(np.int32).max
 MAX_IMAGE_SIZE = 1024
 
 @spaces.GPU(duration=5)
-def infer(prompt, model_size, seed=42, randomize_seed=False, width=1024, height=1024, guidance_scale=3.5, num_inference_steps=2, progress=gr.Progress(track_tqdm=True)):
+def infer(prompt, model_size, seed=42, randomize_seed=False, width=1024, height=1024, guidance_scale=4.5, num_inference_steps=2, progress=gr.Progress(track_tqdm=True)):
     if randomize_seed:
         seed = random.randint(0, MAX_SEED)
     generator = torch.Generator().manual_seed(seed)
@@ -120,7 +120,7 @@ with gr.Blocks(css=css) as demo:
                     minimum=1,
                     maximum=15,
                     step=0.1,
-                    value=1,
+                    value=4.5,
                 )
   
                 num_inference_steps = gr.Slider(