Update app.py

app.py

@@ -33,7 +33,7 @@ pipe = FluxPipeline.from_pretrained(
 prompt = "A close-up image of a green alien with fluorescent skin in the middle of a dark purple forest"
 
 guidance_scale = 3.5  # Keep guidance_scale at 3.5
-n_steps = 28
+n_steps = 8
 seed = 11
 
 with torch.inference_mode():
@@ -42,8 +42,8 @@ with torch.inference_mode():
         generator=torch.Generator(device="cpu").manual_seed(seed),
         num_inference_steps=n_steps,
         guidance_scale=guidance_scale,
-        height=1024,
-        width=1024,
+        height=512,
+        width=512,
     ).images[0]
 image.save("output.png")