removed enable_attention_slicing

enable_attention_slicing saves up memory, but decreases a bit the inference speed, so as zerogpu runs on 69 gb of ram (as of rn) its not needed, so i lowered the zerogpu duration from 180 to 160 seconds

app.py

@@ -26,12 +26,8 @@ CACHE_EXAMPLES = torch.cuda.is_available() and os.getenv("CACHE_EXAMPLES", "0")
 pipe = FluxPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", torch_dtype=torch.bfloat16)
 pipe.to(device)
 
-# Enable memory optimizations
-pipe.enable_attention_slicing()
-
-
 # Define the image generation function
-@spaces.GPU(duration=180)
+@spaces.GPU(duration=160)
 def generate_image(prompt, num_inference_steps, height, width, guidance_scale, seed, num_images_per_prompt, progress=gr.Progress(track_tqdm=True)):
     if seed == 0:
         seed = random.randint(1, MAX_SEED)