Update app.py

app.py

@@ -94,7 +94,7 @@ Use StableDiffusion XL with ControlNet pretrained LoRas
 
         """)
         use_custom_model = gr.Checkbox(label="Use a public custom model ?(optional)", value=False, info="To use a private model, you'll prefer to duplicate the space with your own access token.")
-        model_name = gr.Textbox(label="Model to use", placeholder="username/my_model")
+        model_name = gr.Textbox(label="Custom Model to use", placeholder="username/my_custom_public_model")
         image_in = gr.Image(source="upload", type="filepath")
         with gr.Row():
             with gr.Column():
@@ -104,8 +104,7 @@ Use StableDiffusion XL with ControlNet pretrained LoRas
             with gr.Column():
                 preprocessor = gr.Dropdown(label="Preprocessor", choices=["canny"], value="canny", interactive=False, info="For the moment, only canny is available")  
                 controlnet_conditioning_scale = gr.Slider(label="Controlnet conditioning Scale", minimum=0.1, maximum=0.9, step=0.01, value=0.5, type="float")
-       
-        seed = gr.Slider(label="seed", minimum=0, maximum=500000, step=1, value=42)
+                seed = gr.Slider(label="seed", minimum=0, maximum=500000, step=1, value=42)
 
         submit_btn = gr.Button("Submit")
         result = gr.Image(label="Result")