Update app.py

app.py

@@ -19,7 +19,7 @@ pipe = DiffusionPipeline.from_pretrained(model_repo_id, torch_dtype=torch_dtype)
 pipe = pipe.to(device)
 
 MAX_SEED = np.iinfo(np.int32).max
-MAX_IMAGE_SIZE = 700
+MAX_IMAGE_SIZE = 724
 
 from datasets import load_dataset, Dataset
 
@@ -131,7 +131,7 @@ with gr.Blocks(css=css) as demo:
                     minimum=0,
                     maximum=MAX_IMAGE_SIZE,
                     step=32,
-                    value=600,  # Replace with defaults that work for your model
+                    value=624,  # Replace with defaults that work for your model
                 )
 
                 height = gr.Slider(
@@ -139,7 +139,7 @@ with gr.Blocks(css=css) as demo:
                     minimum=0,
                     maximum=MAX_IMAGE_SIZE,
                     step=32,
-                    value=700,  # Replace with defaults that work for your model
+                    value=724,  # Replace with defaults that work for your model
                 )
 
             with gr.Row():