Update app.py

app.py

@@ -18,8 +18,8 @@ pipe = DiffusionPipeline.from_pretrained(
 ).to(device)
 
 MAX_SEED = np.iinfo(np.int32).max
-MAX_IMAGE_SIZE = 1280
-MIN_IMAGE_SIZE = 640
+MAX_IMAGE_SIZE = 1536
+MIN_IMAGE_SIZE = 768
 
 @spaces.GPU(duration=30)
 def infer(
@@ -86,7 +86,7 @@ with gr.Blocks(css=css) as demo:
                 label="Negative prompt",
                 max_lines=1,
                 placeholder="Enter a negative prompt",
-                value ="bad quality"
+                value ="bad quality, low quality"
             )
 
             seed = gr.Slider(
@@ -104,16 +104,16 @@ with gr.Blocks(css=css) as demo:
                     label="Width",
                     minimum=MIN_IMAGE_SIZE,
                     maximum=MAX_IMAGE_SIZE,
-                    step=128,
-                    value=1024,
+                    step=64,
+                    value=1280,
                 )
 
                 height = gr.Slider(
                     label="Height",
                     minimum=MIN_IMAGE_SIZE,
                     maximum=MAX_IMAGE_SIZE,
-                    step=128,
-                    value=1280,
+                    step=64,
+                    value=1536,
                 )
 
             with gr.Row():