UX Improvement: Show progress when clicking 'Pre-download LoRAs'.

app.py

@@ -480,8 +480,10 @@ with gr.Blocks(css="#col-container {margin: 0 auto; max-width: 1024px;}") as dem
                 gr.Markdown("### Negative Prompt"); info_neg_prompt_output = gr.Textbox(lines=3, interactive=False, show_label=False)
                 gr.Markdown("### Other Parameters"); info_params_output = gr.Textbox(lines=5, interactive=False, show_label=False)
     
-    gr.Markdown("<div style='text-align: center; margin-top: 20px;'>Made by <a href='https://civitai.com/user/RioShiina'>RioShiina</a> with ❤</div>")
-
+    gr.Markdown("<div style='text-align: center; margin-top: 20px;'>Made by <a href='https://civitai.com/user/RioShiina'>RioShiina</a> with ❤️</div>")
+    
+    # --- Event Handlers ---
+    
     def add_lora_row(current_count):
         current_count = int(current_count)
         if current_count < MAX_LORAS:
@@ -490,10 +492,24 @@ with gr.Blocks(css="#col-container {margin: 0 auto; max-width: 1024px;}") as dem
             return updates
         return {lora_count_state: current_count}
 
+    def start_lora_predownload():
+        """This function provides immediate feedback to the user."""
+        return "⏳ Downloading... please wait. This may take a moment."
+
+    # --- Chain events for immediate feedback ---
+    predownload_click_event = predownload_lora_button.click(
+        fn=start_lora_predownload, 
+        inputs=None, 
+        outputs=[predownload_status],
+        queue=False
+    ).then(
+        fn=pre_download_loras, 
+        inputs=[civitai_api_key, *all_lora_inputs], 
+        outputs=[predownload_status]
+    )
+
     add_lora_button.click(fn=add_lora_row, inputs=[lora_count_state], outputs=[lora_count_state, add_lora_button] + lora_rows)
     
-    predownload_lora_button.click(fn=pre_download_loras, inputs=[civitai_api_key, *all_lora_inputs], outputs=[predownload_status])
-    
     run_button.click(fn=infer, 
                      inputs=[base_model_name, prompt, negative_prompt, seed, batch_size, width, height, guidance_scale, num_inference_steps, sampler, schedule_type, civitai_api_key, zero_gpu_duration, *all_lora_inputs], 
                      outputs=[result])
@@ -503,4 +519,5 @@ with gr.Blocks(css="#col-container {margin: 0 auto; max-width: 1024px;}") as dem
     txt2img_outputs = [base_model_name, prompt, negative_prompt, seed, batch_size, zero_gpu_duration, width, height, guidance_scale, num_inference_steps, sampler, schedule_type, *all_lora_inputs, tabs]
     send_to_txt2img_button.click(fn=send_info_to_txt2img, inputs=[info_image_input], outputs=txt2img_outputs)
 
+
 demo.queue().launch()