set_pipe , trigger_mode='once'

app.py

@@ -209,44 +209,44 @@ with gr.Blocks(theme=gr.themes.Soft()) as demo:
     input_image.change(set_pipe,
                        inputs=[input_image, description_prompt, edit_guidance_scale, num_inference_steps,
                                num_inference_steps, inversion_max_step, rnri_iterations, rnri_alpha, rnri_lr],
-                       outputs=[inv_state, is_set_text])
+                       outputs=[inv_state, is_set_text], trigger_mode='once')
 
     description_prompt.change(set_pipe, inputs=[input_image, description_prompt, edit_guidance_scale,
                                                 num_inference_steps,
                                                 num_inference_steps, inversion_max_step, rnri_iterations, rnri_alpha,
                                                 rnri_lr],
-                              outputs=[inv_state, is_set_text])
+                              outputs=[inv_state, is_set_text], trigger_mode='once')
 
     edit_guidance_scale.change(set_pipe, inputs=[input_image, description_prompt, edit_guidance_scale,
                                                  num_inference_steps,
                                                  num_inference_steps, inversion_max_step, rnri_iterations, rnri_alpha,
                                                  rnri_lr],
-                               outputs=[inv_state, is_set_text])
+                               outputs=[inv_state, is_set_text], trigger_mode='once')
     num_inference_steps.change(set_pipe, inputs=[input_image, description_prompt, edit_guidance_scale,
                                                  num_inference_steps,
                                                  num_inference_steps, inversion_max_step, rnri_iterations, rnri_alpha,
                                                  rnri_lr],
-                               outputs=[inv_state, is_set_text])
+                               outputs=[inv_state, is_set_text], trigger_mode='once')
     inversion_max_step.change(set_pipe, inputs=[input_image, description_prompt, edit_guidance_scale,
                                                 num_inference_steps,
                                                 num_inference_steps, inversion_max_step, rnri_iterations, rnri_alpha,
                                                 rnri_lr],
-                              outputs=[inv_state, is_set_text])
+                              outputs=[inv_state, is_set_text], trigger_mode='once')
     rnri_iterations.change(set_pipe, inputs=[input_image, description_prompt, edit_guidance_scale,
                                              num_inference_steps,
                                              num_inference_steps, inversion_max_step, rnri_iterations, rnri_alpha,
                                              rnri_lr],
-                           outputs=[inv_state, is_set_text])
+                           outputs=[inv_state, is_set_text], trigger_mode='once')
     rnri_alpha.change(set_pipe, inputs=[input_image, description_prompt, edit_guidance_scale,
                                         num_inference_steps,
                                         num_inference_steps, inversion_max_step, rnri_iterations, rnri_alpha,
                                         rnri_lr],
-                      outputs=[inv_state, is_set_text])
+                      outputs=[inv_state, is_set_text], trigger_mode='once')
     rnri_lr.change(set_pipe, inputs=[input_image, description_prompt, edit_guidance_scale,
                                      num_inference_steps,
                                      num_inference_steps, inversion_max_step, rnri_iterations, rnri_alpha,
                                      rnri_lr],
-                   outputs=[inv_state, is_set_text])
+                   outputs=[inv_state, is_set_text], trigger_mode='once')
 
     # set_button.click(
     #     fn=set_pipe,