Update app.py

app.py

@@ -2,15 +2,10 @@ import gradio as gr
 import torch
 from diffusers import FluxFillPipeline
 from diffusers.utils import load_image
-#from controlnet_flux import FluxControlNetModel
-#from transformer_flux import FluxTransformer2DModel
-#from pipeline_flux_controlnet_inpaint import FluxControlNetInpaintingPipeline
-#from transformers import T5EncoderModel, CLIPTextModel
 from PIL import Image, ImageDraw
 import numpy as np
 import spaces
 from huggingface_hub import hf_hub_download
-#from optimum.quanto import freeze, qfloat8, quantize
 
 pipe = FluxFillPipeline.from_pretrained(
     "black-forest-labs/FLUX.1-Fill-dev",
@@ -202,7 +197,7 @@ css = """
 
 title = """<h1 align="center">FLUX Image Outpaint</h1>
 <div align="center">Drop an image you would like to extend, pick your expected ratio and hit Generate.</div>
-<div align="center">Using <a href="alimama-creative/FLUX.1-dev-Controlnet-Inpainting-Beta" target="_blank"><code>FLUX.1-dev-Controlnet-Inpainting-Beta</code></a> + <a href="https://huggingface.co/ByteDance/Hyper-SD/blob/main/Hyper-FLUX.1-dev-8steps-lora.safetensors" target="_blank">Hyper-FLUX.1-dev-8steps-lora</a></div>
+<div align="center">Using <a href="https://huggingface.co/black-forest-labs/FLUX.1-Fill-dev" target="_blank"><code>FLUX.1-Fill-dev</code></a></div>
 """
 
 with gr.Blocks(css=css) as demo: