Update app.py

app.py

@@ -105,8 +105,9 @@ Use StableDiffusion XL with ControlNet pretrained LoRas
                 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)
         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="Custom Model to use", placeholder="username/my_custom_public_model")
-        custom_lora_weight = gr.Slider(label="Custom weights", minimum=0.1, maximum=0.9, step=0.1, value=0.9)
+        with gr.Row():
+            model_name = gr.Textbox(label="Custom Model to use", placeholder="username/my_custom_public_model")
+            custom_lora_weight = gr.Slider(label="Custom model weights", minimum=0.1, maximum=0.9, step=0.1, value=0.9)
         submit_btn = gr.Button("Submit")
         result = gr.Image(label="Result")