Update app.py

app.py

@@ -184,12 +184,12 @@ with gr.Blocks(css=css) as demo:
                     label="LoRA Strength"
                 )
 
-        # Показывать/скрывать секцию LoRA в зависимости от модели
-        model_id.change(
-            fn=lambda x: gr.update(visible=is_lora(x)),
-            inputs=model_id,
-            outputs=lora_section
-        )
+        # # Показывать/скрывать секцию LoRA в зависимости от модели
+        # model_id.change(
+        #     fn=lambda x: gr.update(visible=is_lora(x)),
+        #     inputs=model_id,
+        #     outputs=lora_section
+        # )
 
         with gr.Group():
             title = gr.Markdown(" ### ControlNet section")
@@ -300,55 +300,31 @@ with gr.Blocks(css=css) as demo:
 
         gr.Examples(examples=examples, inputs=[prompt])
 
-    # gr.on(
-    #     triggers=[run_button.click, prompt.submit],
-    #     fn=infer,
-    #     inputs=[
-    #         model_id,
-    #         prompt,
-    #         negative_prompt,
-    #         seed,
-    #         randomize_seed,
-    #         width,
-    #         height,
-    #         guidance_scale,
-    #         num_inference_steps,
-    #         lora_scale,
-    #         use_controlnet,
-    #         controlnet_image,
-    #         controlnet_strength,
-    #         controlnet_mode,
-    #         use_ip_adapter,
-    #         ip_adapter_image,
-    #         ip_adapter_scale,
-    #     ],
-    #     outputs=[result, seed],
-    # )
-
     gr.on(
         triggers=[run_button.click, prompt.submit],
         fn=infer,
         inputs=[
             model_id,
-            model_id,
-            model_id,
-            model_id,
-            model_id,
-            model_id,
-            model_id,
-            model_id,
-            model_id,
-            model_id,
-            model_id,
-            model_id,
-            model_id,
-            model_id,
-            model_id,
-            model_id,
-            model_id,
+            prompt,
+            negative_prompt,
+            seed,
+            randomize_seed,
+            width,
+            height,
+            guidance_scale,
+            num_inference_steps,
+            lora_scale,
+            use_controlnet,
+            controlnet_image,
+            controlnet_strength,
+            controlnet_mode,
+            use_ip_adapter,
+            ip_adapter_image,
+            ip_adapter_scale,
         ],
         outputs=[result, seed],
     )
 
+
 if __name__ == "__main__":
     demo.launch()