update torchvision to 0.15.1

app.py

@@ -4,7 +4,7 @@ from diffusers import UniPCMultistepScheduler
 import torch
 import torchvision
 import torchvision.transforms as T
-#from torchvision.transforms import v2 as T2
+from torchvision.transforms import v2 as T2
 import cv2
 from PIL import Image
 import numpy as np
@@ -13,7 +13,7 @@ output_res = (768,768)
 
 conditioning_image_transforms = T.Compose(
     [
-        #T2.ScaleJitter(target_size=output_res, scale_range=(0.5, 3.0)),
+        T2.ScaleJitter(target_size=output_res, scale_range=(0.5, 3.0)),
         T.RandomCrop(size=output_res, pad_if_needed=True, padding_mode="symmetric"),
         T.ToTensor(),
         T.Normalize([0.5], [0.5]),