Update app.py

app.py

@@ -37,7 +37,7 @@ pipe_normal.scheduler = EDMEulerScheduler(sigma_min=0.002, sigma_max=120.0, sigm
 pipe_normal.to("cuda")
 
 @spaces.GPU
-def run_normal(prompt, negative_prompt, guidance_scale, progress=gr.Progress(track_tqdm=True)):
+def run_normal(prompt, negative_prompt="", guidance_scale=7, progress=gr.Progress(track_tqdm=True)):
     return pipe_normal(prompt, negative_prompt=negative_prompt, guidance_scale=guidance_scale, num_inference_steps=20).images[0]
 
 @spaces.GPU
@@ -51,6 +51,7 @@ max-width: 768px !important;
 margin: 0 auto;
 }
 '''
+normal_examples = ["portrait photo of a girl, photograph, highly detailed face, depth of field, moody light, golden hour, style by Dan Winters, Russell James, Steve McCurry, centered, extremely detailed, Nikon D850, award winning photography", "backlit photography of a dog", "Self-portrait oil painting, a beautiful cyborg with golden hair, 8k"]
 with gr.Blocks(css=css) as demo:
     gr.Markdown('''# CosXL demo
     Unofficial demo for CosXL, a SDXL model tuned to produce full color range images. CosXL Edit allows you to perform edits on images. Both have a [non-commercial community license](https://huggingface.co/stabilityai/cosxl/blob/main/LICENSE)
@@ -64,6 +65,7 @@ with gr.Blocks(css=css) as demo:
           with gr.Accordion("Advanced Settings", open=False):
             negative_prompt_normal = gr.Textbox(label="Negative Prompt")
             guidance_scale_normal = gr.Number(label="Guidance Scale", value=7)
+      gr.Examples(examples=examples, fn=run_normal, inputs=[prompt_normal], outputs=[output_normal], cache_examples=True) 
     with gr.Tab("CosXL Edit"):
       with gr.Group():
           image_edit = gr.Image(label="Image you would like to edit", type="pil")