make pipes global to reduce set_pipe runtime

app.py

@@ -35,6 +35,15 @@ if torch.cuda.is_available():
 else:
     power_device = "CPU"
 
+scheduler_class = MyEulerAncestralDiscreteScheduler
+
+pipe_inversion = SDXLDDIMPipeline.from_pretrained("stabilityai/sdxl-turbo", use_safetensors=True)  # .to('cpu')
+pipe_inference = AutoPipelineForImage2Image.from_pretrained("stabilityai/sdxl-turbo",
+                                                            use_safetensors=True)  # .to('cpu')
+pipe_inference.scheduler = scheduler_class.from_config(pipe_inference.scheduler.config)
+pipe_inversion.scheduler = scheduler_class.from_config(pipe_inversion.scheduler.config)
+pipe_inversion.scheduler_inference = scheduler_class.from_config(pipe_inference.scheduler.config)
+
 # with gr.Blocks(css=css) as demo:
 with gr.Blocks(css="style.css") as demo:
     gr.Markdown(f""" # Real Time Editing with RNRI Inversion 🍎⚡️
@@ -50,14 +59,6 @@ with gr.Blocks(css="style.css") as demo:
                  num_inversion_steps=4, inversion_max_step=0.6, rnri_iterations=2, rnri_alpha=0.1, rnri_lr=0.2):
         if image_editor is not None:
             image_editor = image_editor.to('cpu')
-        scheduler_class = MyEulerAncestralDiscreteScheduler
-
-        pipe_inversion = SDXLDDIMPipeline.from_pretrained("stabilityai/sdxl-turbo", use_safetensors=True)  # .to('cpu')
-        pipe_inference = AutoPipelineForImage2Image.from_pretrained("stabilityai/sdxl-turbo",
-                                                                    use_safetensors=True)  # .to('cpu')
-        pipe_inference.scheduler = scheduler_class.from_config(pipe_inference.scheduler.config)
-        pipe_inversion.scheduler = scheduler_class.from_config(pipe_inversion.scheduler.config)
-        pipe_inversion.scheduler_inference = scheduler_class.from_config(pipe_inference.scheduler.config)
 
         config = RunConfig(num_inference_steps=num_inference_steps,
                            num_inversion_steps=num_inversion_steps,
@@ -79,8 +80,6 @@ with gr.Blocks(css="style.css") as demo:
         image = editor.edit(target_prompt)
         return image
 
-
-    gr.Markdown(f"""running on {power_device}""")
     with gr.Row():
         with gr.Column(elem_id="col-container-1"):
             with gr.Row():