Update app.py

app.py

@@ -426,7 +426,7 @@ height = 768
 width = 768
 ###
 global sd_model_path
-sd_model_path = models_dict["Unstable"]#"SG161222/RealVisXL_V4.0"
+sd_model_path = models_dict["SDXL"]#"SG161222/RealVisXL_V4.0"
 use_safetensors= False
 ### LOAD Stable Diffusion Pipeline
 # pipe1 = StableDiffusionXLPipeline.from_pretrained(sd_model_path, torch_dtype=torch.float16, use_safetensors= use_safetensors)
@@ -648,7 +648,7 @@ with gr.Blocks(css=css) as demo:
             #     get_genprompt_run = gr.Button("(2) I've finished segment labeling ! 😺", elem_id="prompt_button", interactive=True)
 
             with gr.Column(visible=True) as gen_prompt_vis:
-                sd_type = gr.Dropdown(choices=list(models_dict.keys()), value = "Unstable",label="sd_type", info="Select pretrained model")
+                sd_type = gr.Dropdown(choices=list(models_dict.keys()), value = "SDXL",label="sd_type", info="Select pretrained model")
                 model_type = gr.Radio(["Only Using Textual Description", "Using Ref Images"], label="model_type", value = "Only Using Textual Description",  info="Control type of the Character")
                 with gr.Group(visible=False) as control_image_input:
                     files = gr.Files(