Update app.py

app.py

@@ -11,8 +11,8 @@ from custom_pipeline import FluxWithCFGPipeline
 MAX_SEED = np.iinfo(np.int32).max
 MAX_IMAGE_SIZE = 2048
 DEFAULT_WIDTH = 1024
-DEFAULT_HEIGHT = 1024
-DEFAULT_INFERENCE_STEPS = 1
+DEFAULT_HEIGHT = 768
+DEFAULT_INFERENCE_STEPS = 4
 
 # Device and model setup
 dtype = torch.float16
@@ -73,7 +73,7 @@ with gr.Blocks() as demo:
             with gr.Column(scale=1):
                 prompt = gr.Text(
                     label="Prompt",
-                    placeholder="Describe the image you want to generate...",
+                    placeholder="sexy woman & man , under wear, full body, sunday",
                     lines=3,
                     show_label=False,
                     container=False,