Update app.py

app.py

@@ -36,6 +36,9 @@ else:
     )
     pipe = pipe.to(device)
 
+pipe.text_encoder.to_bettertransformer()
+pipe.transformer = torch.compile(pipe.transformer, mode="reduce-overhead", fullgraph=True)
+
 pipe.scheduler = LCMScheduler.from_pretrained(
     "PixArt-alpha/PixArt-XL-2-1024-MS",
     subfolder="scheduler",
@@ -65,7 +68,7 @@ def infer(prompt, seed, randomize_seed):
 examples = [
     "The image showcases a freshly baked bread, possibly focaccia, with rosemary sprigs and red pepper flakes sprinkled on top. It's sliced and placed on a wire cooling rack, with a bowl of mixed peppercorns beside it.",
     "A raccoon reading a book in a lush forest.",
-    "A serene landscape showcases a winding road alongside a vast, turquoise lake, flanked by majestic snow-capped mountains under a partly cloudy sky.",
+    "A small cactus with a happy face in the Sahara desert.",
 ]
 
 css="""