Update app.py

app.py

@@ -12,7 +12,7 @@ torch.backends.cuda.matmul.allow_tf32 = True
 
 # Constants
 MAX_SEED = np.iinfo(np.int32).max
-MAX_IMAGE_SIZE = 2048
+MAX_IMAGE_SIZE = 4096
 DEFAULT_WIDTH = 1024
 DEFAULT_HEIGHT = 1024
 DEFAULT_INFERENCE_STEPS = 1
@@ -91,8 +91,8 @@ with gr.Blocks() as demo:
                         seed = gr.Number(label="Seed", value=42)
                         randomize_seed = gr.Checkbox(label="Randomize Seed", value=True)
                     with gr.Row():
-                        width = gr.Slider(label="Width", minimum=256, maximum=MAX_IMAGE_SIZE, step=32, value=DEFAULT_WIDTH)
-                        height = gr.Slider(label="Height", minimum=256, maximum=MAX_IMAGE_SIZE, step=32, value=DEFAULT_HEIGHT)
+                        width = gr.Slider(label="Width", minimum=128, maximum=MAX_IMAGE_SIZE, step=16, value=DEFAULT_WIDTH)
+                        height = gr.Slider(label="Height", minimum=128, maximum=MAX_IMAGE_SIZE, step=16, value=DEFAULT_HEIGHT)
                         num_inference_steps = gr.Slider(label="Inference Steps", minimum=1, maximum=4, step=1, value=DEFAULT_INFERENCE_STEPS)
 
         with gr.Row():