Update app.py

app.py

@@ -16,6 +16,7 @@ HF_TOKEN = os.getenv("HF_TOKEN")
 MIN_IMAGE_SIZE = int(os.getenv("MIN_IMAGE_SIZE", "512"))
 MAX_IMAGE_SIZE = int(os.getenv("MAX_IMAGE_SIZE", "2048"))
 MAX_SEED = np.iinfo(np.int32).max
+CACHE_EXAMPLES = torch.cuda.is_available() and os.getenv("CACHE_EXAMPLES") == "1"
 
 sampler_list = [
     "DPM++ 2M Karras",
@@ -26,6 +27,16 @@ sampler_list = [
     "DDIM",
 ]
 
+examples = [
+    """
+    1girl,
+midori \(blue archive\), blue archive,
+(ningen mame:0.9), ciloranko, sho \(sho lwlw\), (tianliang duohe fangdongye:0.8), ask \(askzy\), wlop,
+indoors, plant, hair bow, cake, cat ears, food, smile, animal ear headphones, bare legs, short shorts, drawing \(object\), feet, legs, on back, bed, solo, green eyes, cat, table, window blinds, headphones, nintendo switch, toes, bow, toenails, looking at viewer, chips \(food\), potted plant, halo, calendar \(object\), tray, blonde hair, green halo, lying, barefoot, bare shoulders, blunt bangs, green shorts, picture frame, fake animal ears, closed mouth, shorts, handheld game console, green bow, animal ears, on bed, medium hair, knees up, upshorts, eating, potato chips, pillow, blush, dolphin shorts, ass, character doll, alternate costume,
+masterpiece, newest, absurdres
+    """
+]
+
 torch.backends.cudnn.deterministic = True
 torch.backends.cudnn.benchmark = False
 
@@ -198,6 +209,14 @@ with gr.Blocks(
     with gr.Group():
         used_seed = gr.Number(label="Used Seed", interactive=False)
 
+    gr.Examples(
+        examples=examples,
+        inputs=prompt,
+        outputs=[result, used_seed],
+        fn=lambda *args, **kwargs: generate(*args, **kwargs),
+        cache_examples=CACHE_EXAMPLES,
+    )    
+    
     gr.on(
         triggers=[
             prompt.submit,