'update'

app.py

@@ -193,15 +193,6 @@ def run_pipeline(pipeline, cfg, single_image, guidance_scale, steps, seed, crop_
     imgs_in = imgs_in.to(device=f'cuda:{_GPU_ID}', dtype=weight_dtype)
     prompt_embeddings = prompt_embeddings.to(device=f'cuda:{_GPU_ID}', dtype=weight_dtype)
     
-    ic(pipeline.unet.device)
-    ic(pipeline.unet.dtype)
-    
-    ic(imgs_in.device)
-    ic(imgs_in.dtype)
-    
-    ic(prompt_embeddings.device)
-    ic(prompt_embeddings.dtype)
-    
     out = pipeline(
         imgs_in, 
         None, 
@@ -366,18 +357,19 @@ def run_demo():
                     examples_per_page=30,
                 )
             with gr.Column(scale=1):
-                with gr.Accordion('Advanced options', open=True):
-                    with gr.Row():
-                        with gr.Column():
+                with gr.Row():
+                    with gr.Column():
+                        with gr.Accordion('Advanced options', open=True):
                             input_processing = gr.CheckboxGroup(
                                 ['Background Removal'],
                                 label='Input Image Preprocessing',
                                 value=['Background Removal'],
                                 info='untick this, if masked image with alpha channel',
                             )
-                        with gr.Column():
+                    with gr.Column():
+                        with gr.Accordion('Advanced options', open=False):
                             output_processing = gr.CheckboxGroup(
-                                ['Write Results'], label='write the results in ./outputs folder', value=['Write Results']
+                                ['Write Results'], label='write the results in mv_res folder', value=['Write Results']
                             )
                     with gr.Row():
                         with gr.Column():