CLIP Skip affects the output? about sd-webui-roop HOT 2 CLOSED

Error running postprocess_batch: /Users/jimmygunawan/stable-diffusion-webui/extensions/sd-webui-roop/scripts/faceswap.py
Traceback (most recent call last):
  File "/Users/jimmygunawan/stable-diffusion-webui/modules/scripts.py", line 462, in postprocess_image
    script.postprocess_image(p, pp, *script_args)
  File "/Users/jimmygunawan/stable-diffusion-webui/extensions/sd-webui-roop/scripts/faceswap.py", line 187, in postprocess_image
    result: ImageResult = swap_face(
  File "/Users/jimmygunawan/stable-diffusion-webui/extensions/sd-webui-roop/scripts/swapper.py", line 131, in swap_face
    result_image = upscale_image(result_image, upscale_options)
  File "/Users/jimmygunawan/stable-diffusion-webui/extensions/sd-webui-roop/scripts/swapper.py", line 68, in upscale_image
    numpy_image = upscale_options.face_restorer.restore(numpy_image)
  File "/Users/jimmygunawan/stable-diffusion-webui/modules/codeformer_model.py", line 96, in restore
    self.face_helper.get_face_landmarks_5(only_center_face=False, resize=640, eye_dist_threshold=5)
  File "/Users/jimmygunawan/stable-diffusion-webui/repositories/CodeFormer/facelib/utils/face_restoration_helper.py", line 151, in get_face_landmarks_5
    bboxes = self.face_det.detect_faces(input_img)
  File "/Users/jimmygunawan/stable-diffusion-webui/repositories/CodeFormer/facelib/detection/retinaface/retinaface.py", line 231, in detect_faces
    keep = py_cpu_nms(bounding_boxes, nms_threshold)
  File "/Users/jimmygunawan/stable-diffusion-webui/repositories/CodeFormer/facelib/detection/retinaface/retinaface_utils.py", line 41, in py_cpu_nms
    keep = torchvision.ops.nms(
  File "/Users/jimmygunawan/stable-diffusion-webui/venv/lib/python3.10/site-packages/torchvision/ops/boxes.py", line 40, in nms
    _assert_has_ops()
  File "/Users/jimmygunawan/stable-diffusion-webui/venv/lib/python3.10/site-packages/torchvision/extension.py", line 33, in _assert_has_ops
    raise RuntimeError(
RuntimeError: Couldn't load custom C++ ops. This can happen if your PyTorch and torchvision versions are incompatible, or if you had errors while compiling torchvision from source. For further information on the compatible versions, check https://github.com/pytorch/vision#installation for the compatibility matrix. Please check your PyTorch version with torch.__version__ and your torchvision version with torchvision.__version__ and verify if they are compatible, and if not please reinstall torchvision so that it matches your PyTorch install.