Update app.py

app.py

@@ -25,8 +25,8 @@ pipe = FluxControlNetInpaintingPipeline.from_pretrained(
     torch_dtype=torch.bfloat16
 )
 
-repo_name = "ByteDance/Hyper-SD"
-ckpt_name = "Hyper-FLUX.1-dev-8steps-lora.safetensors"
+repo_name = "alimama-creative/FLUX.1-Turbo-Alpha"
+ckpt_name = "diffusion_pytorch_model.safetensors"
 pipe.load_lora_weights(hf_hub_download(repo_name, ckpt_name))
 pipe.fuse_lora(lora_scale=0.125)
 pipe.transformer.to(torch.bfloat16)
@@ -221,7 +221,7 @@ 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></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/alimama-creative/FLUX.1-Turbo-Alpha" target="_blank">FLUX.1-Turbo-alpha 8-step LoRA</a></div>
 """
 
 with gr.Blocks(css=css) as demo: