Update app.py

app.py

@@ -21,6 +21,12 @@ class CustomOVModelVaeDecoder(OVModelVaeDecoder):
 
 """
 
+examples = [
+    "(Digital art, highres, best quality, 8K, masterpiece, anime screencap, perfect eyes:1.4, ultra detailed:1.5),1girl,flat chest,short messy pink hair,blue eyes,tall,thick thighs,light blue hoodie,collar,light blue shirt,black sport shorts,bulge,black thigh highs,femboy,okoto no ko,smiling,blushing,looking at viewer,inside,livingroom,sitting on couch,nighttime,dark,hand_to_mouth,",
+    "1girl, silver hair, symbol-shaped pupils, yellow eyes, smiling, light particles, light rays, wallpaper, star guardian, serious face, red inner hair, power aura, grandmaster1, golden and white clothes",
+    "masterpiece, best quality, highres booru, 1girl, solo, depth of field, rim lighting, flowers, petals, from above, crystals, butterfly, vegetation, aura, magic, hatsune miku, blush, slight smile, close-up, against wall,",
+    "((colofrul:1.7)),((best quality)), ((masterpiece)), ((ultra-detailed)), (illustration), (detailed light), (an extremely delicate and beautiful),incredibly_absurdres,(glowing),(1girl:1.7),solo,a beautiful girl,(((cowboy shot))),standding,((Hosiery)),((beautiful off-shoulder lace-trimmed layered strapless dress+white stocking):1.25),((Belts)),(leg loops),((Hosiery)),((flower headdress)),((long white hair)),(((beautiful eyes))),BREAK,((english text)),(flower:1.35),(garden),(((border:1.75))),",
+]
 
 pipe = OVStableDiffusionPipeline.from_pretrained(
     model_id,
@@ -55,7 +61,7 @@ def infer(prompt, negative_prompt, num_inference_steps=1):
         negative_prompt=negative_prompt,
         width=WIDTH,
         height=HIGH,
-        guidance_scale=0.0,
+        guidance_scale=7.5,
         num_inference_steps=num_inference_steps,
         num_images_per_prompt=1,
     ).images[0]
@@ -90,7 +96,14 @@ with gr.Blocks(css=css) as demo:
             run_button = gr.Button("Run", scale=1)
         
         result = gr.Image(label="Result", show_label=False)
-
+        
+        gr.Examples(
+            examples = examples,
+            fn = infer,
+            inputs = [prompt],
+            outputs = [result]
+        )
+        
     run_button.click(
         fn=infer,
         inputs=[prompt],