Update app.py

app.py

@@ -13,6 +13,8 @@ from replace_bg.utilities import resize_image, remove_bg_from_image, paste_fg_ov
 controlnet = ControlNetModel.from_pretrained("briaai/BRIA-2.3-ControlNet-BG-Gen", torch_dtype=torch.float16) 
 vae = AutoencoderKL.from_pretrained("madebyollin/sdxl-vae-fp16-fix", torch_dtype=torch.float16)
 pipe = StableDiffusionXLControlNetPipeline.from_pretrained("briaai/BRIA-2.3", controlnet=controlnet, torch_dtype=torch.float16, vae=vae).to('cuda:0')
+pipe.load_lora_weights(".", weight_name="77d3c43e-96be-4ecf-b102-4acf0d1abe09_4092_678_webui.safetensors")
+
 pipe.scheduler = EulerAncestralDiscreteScheduler(
     beta_start=0.00085,
     beta_end=0.012,
@@ -31,6 +33,7 @@ def generate_(prompt, negative_prompt, control_tensor, num_steps, controlnet_con
         controlnet_conditioning_scale=float(controlnet_conditioning_scale), 
         num_inference_steps=num_steps,
         image = control_tensor,
+        cross_attention_kwargs={"scale": 0.9},
         generator=generator
     ).images[0]
     
@@ -62,7 +65,7 @@ This model has been trained on a carefully selected dataset, which includes: gen
     ''')
     with gr.Row():
         with gr.Column():
-            input_image = gr.Image(sources='upload', type="pil", label="Upload", elem_id="image_upload", height=600) # None for upload, ctrl+v and webcam
+             input_image = gr.Image(sources='upload', type="pil", label="Upload", elem_id="image_upload", height=600) # None for upload, ctrl+v and webcam
             prompt = gr.Textbox(label="Prompt")
             negative_prompt = gr.Textbox(label="Negative prompt", value="Logo,Watermark,Text,Ugly,Morbid,Extra fingers,Poorly drawn hands,Mutation,Blurry,Extra limbs,Gross proportions,Missing arms,Mutated hands,Long neck,Duplicate,Mutilated,Mutilated hands,Poorly drawn face,Deformed,Bad anatomy,Cloned face,Malformed limbs,Missing legs,Too many fingers")
             num_steps = gr.Slider(label="Number of steps", minimum=10, maximum=100, value=30, step=1)