minor: print pipes devices for debug OOM

app.py

@@ -114,11 +114,17 @@ with gr.Blocks(css="style.css") as demo:
             # if image_editor is not None:
             #     image_editor = image_editor.to('cpu')
 
+        print(f"#### 1 #### pipe_inversion.device: {pipe_inversion.device}")
+        print(f"#### 2 #### pipe_inference.device: {pipe_inference.device}")
+
         inversion_state = ImageEditorDemo.invert(pipe_inversion.to(device), input_image, description_prompt, config,
                                                  [rnri_iterations, rnri_alpha, rnri_lr], device)
         if device == 'cuda':
             torch.cuda.empty_cache()
             # pipe_inversion = pipe_inversion.to('cpu')
+        print(f"#### 3 #### pipe_inversion.device: {pipe_inversion.device}")
+        print(f"#### 4 #### pipe_inference.device: {pipe_inference.device}")
+
         return inversion_state, "Input has set!"
 
 
@@ -144,11 +150,19 @@ with gr.Blocks(css="style.css") as demo:
 
         if device == 'cuda':
             torch.cuda.empty_cache()
+
+        print(f"#### 5 #### pipe_inversion.device: {pipe_inversion.device}")
+        print(f"#### 6 #### pipe_inference.device: {pipe_inference.device}")
+
         image = ImageEditorDemo.edit(pipe_inference.to(device), target_prompt, inversion_state['latent'], inversion_state['noise'],
                                      inversion_state['cfg'], inversion_state['cfg'].edit_guidance_scale)
 
         if device == 'cuda':
             torch.cuda.empty_cache()
+
+
+        print(f"#### 7 #### pipe_inversion.device: {pipe_inversion.device}")
+        print(f"#### 8 #### pipe_inference.device: {pipe_inference.device}")
         return image