Update app.py

app.py

@@ -13,7 +13,7 @@ pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-schnell", tor
 MAX_SEED = np.iinfo(np.int32).max
 MAX_IMAGE_SIZE = 2048
 
-@spaces.GPU(duration=35)
+@spaces.GPU(duration=80)
 def infer(prompt, seed=42, randomize_seed=False, width=1024, height=1024, num_inference_steps=4, progress=gr.Progress(track_tqdm=True)):
     if randomize_seed:
         seed = random.randint(0, MAX_SEED)
@@ -29,7 +29,7 @@ def infer(prompt, seed=42, randomize_seed=False, width=1024, height=1024, num_in
     return image, seed
  
 examples = [
-    ", 1 girl, hyper realistic,solo, naked, submerged, in water, scandinavianlooks, pale skin, full lips, large breasts, submerged breasts, river, lake, rain, looking at viewer, face focus, side view, absurdres, detailed, volumetric lighting, realistic, , expressive, masterpiece, 4K",
+    "1 girl, hyper realistic,solo, naked, submerged, in water, scandinavianlooks, pale skin, full lips, large breasts, submerged breasts, river, lake, rain, looking at viewer, face focus, side view, absurdres, detailed, volumetric lighting, realistic, , expressive, masterpiece, 4K",
    ]
 
 css="""