Update app.py

app.py

@@ -13,12 +13,9 @@ from PIL import Image
 from diffusers import FluxKontextPipeline
 from diffusers.utils import load_image
 
-from optimization import optimize_pipeline_
-
 MAX_SEED = np.iinfo(np.int32).max
 
 pipe = FluxKontextPipeline.from_pretrained("black-forest-labs/FLUX.1-Kontext-dev", torch_dtype=torch.bfloat16).to("cuda")
-optimize_pipeline_(pipe, image=Image.new("RGB", (512, 512)), prompt='prompt')
 
 @spaces.GPU
 def infer(input_image, prompt, seed=42, randomize_seed=False, guidance_scale=2.5, steps=28, progress=gr.Progress()):