Function for cache

app.py

@@ -1,6 +1,3 @@
-from diffusers import StableDiffusionXLInpaintPipeline
-from PIL import Image, ImageFilter
-
 import gradio as gr
 import numpy as np
 import time
@@ -9,6 +6,9 @@ import random
 import imageio
 import torch
 
+from diffusers import StableDiffusionXLInpaintPipeline
+from PIL import Image, ImageFilter
+
 max_64_bit_int = 2**63 - 1
 
 device = "cuda" if torch.cuda.is_available() else "cpu"
@@ -266,6 +266,7 @@ with gr.Blocks() as interface:
     ], scroll_to_output = True)
 
     gr.Examples(
+        fn = inpaint,
 	    inputs = [
             source_img,
             prompt,
@@ -276,7 +277,6 @@ with gr.Blocks() as interface:
             image_guidance_scale,
             strength,
             denoising_steps,
-            randomize_seed,
             seed,
             debug_mode
         ],
@@ -297,7 +297,6 @@ with gr.Blocks() as interface:
                     1.1,
                     0.99,
                     1000,
-                    True,
                     42,
                     False
                 ],
@@ -311,7 +310,6 @@ with gr.Blocks() as interface:
                     1.5,
                     0.99,
                     1000,
-                    True,
                     42,
                     False
                 ],
@@ -325,7 +323,6 @@ with gr.Blocks() as interface:
                     1.1,
                     0.99,
                     1000,
-                    True,
                     42,
                     False
                 ],
@@ -339,7 +336,6 @@ with gr.Blocks() as interface:
                     1.5,
                     0.5,
                     1000,
-                    True,
                     42,
                     False
                 ],
@@ -353,7 +349,6 @@ with gr.Blocks() as interface:
                     1.1,
                     0.99,
                     1000,
-                    True,
                     42,
                     False
                 ],