Error when trying to use "Restore faces"

[miguelmarco]

Describe the bug
I get the following error on the command line if I try to use the "restore faces" option.

/home/mmarco/stable-diffusion-krita-plugin/venv/lib/python3.8/site-packages/torchvision/models/_utils.py:208: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and will be removed in 0.15, please use 'weights' instead.
  warnings.warn(
/home/mmarco/stable-diffusion-krita-plugin/venv/lib/python3.8/site-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and will be removed in 0.15. The current behavior is equivalent to passing `weights=None`.
  warnings.warn(msg)
ERROR:    Exception in ASGI application
Traceback (most recent call last):
  File "/home/mmarco/stable-diffusion-krita-plugin/venv/lib/python3.8/site-packages/uvicorn/protocols/http/h11_impl.py", line 404, in run_asgi
    result = await app(  # type: ignore[func-returns-value]
  File "/home/mmarco/stable-diffusion-krita-plugin/venv/lib/python3.8/site-packages/uvicorn/middleware/proxy_headers.py", line 78, in __call__
    return await self.app(scope, receive, send)
  File "/home/mmarco/stable-diffusion-krita-plugin/venv/lib/python3.8/site-packages/fastapi/applications.py", line 269, in __call__
    await super().__call__(scope, receive, send)
  File "/home/mmarco/stable-diffusion-krita-plugin/venv/lib/python3.8/site-packages/starlette/applications.py", line 124, in __call__
    await self.middleware_stack(scope, receive, send)
  File "/home/mmarco/stable-diffusion-krita-plugin/venv/lib/python3.8/site-packages/starlette/middleware/errors.py", line 184, in __call__
    raise exc
  File "/home/mmarco/stable-diffusion-krita-plugin/venv/lib/python3.8/site-packages/starlette/middleware/errors.py", line 162, in __call__
    await self.app(scope, receive, _send)
  File "/home/mmarco/stable-diffusion-krita-plugin/venv/lib/python3.8/site-packages/starlette/exceptions.py", line 93, in __call__
    raise exc
  File "/home/mmarco/stable-diffusion-krita-plugin/venv/lib/python3.8/site-packages/starlette/exceptions.py", line 82, in __call__
    await self.app(scope, receive, sender)
  File "/home/mmarco/stable-diffusion-krita-plugin/venv/lib/python3.8/site-packages/fastapi/middleware/asyncexitstack.py", line 21, in __call__
    raise e
  File "/home/mmarco/stable-diffusion-krita-plugin/venv/lib/python3.8/site-packages/fastapi/middleware/asyncexitstack.py", line 18, in __call__
    await self.app(scope, receive, send)
  File "/home/mmarco/stable-diffusion-krita-plugin/venv/lib/python3.8/site-packages/starlette/routing.py", line 670, in __call__
    await route.handle(scope, receive, send)
  File "/home/mmarco/stable-diffusion-krita-plugin/venv/lib/python3.8/site-packages/starlette/routing.py", line 266, in handle
    await self.app(scope, receive, send)
  File "/home/mmarco/stable-diffusion-krita-plugin/venv/lib/python3.8/site-packages/starlette/routing.py", line 65, in app
    response = await func(request)
  File "/home/mmarco/stable-diffusion-krita-plugin/venv/lib/python3.8/site-packages/fastapi/routing.py", line 231, in app
    raw_response = await run_endpoint_function(
  File "/home/mmarco/stable-diffusion-krita-plugin/venv/lib/python3.8/site-packages/fastapi/routing.py", line 160, in run_endpoint_function
    return await dependant.call(**values)
  File "/home/mmarco/stable-diffusion-krita-plugin/krita_server.py", line 185, in f_txt2img
    output_images, info, html = modules.txt2img.txt2img(
  File "/home/mmarco/stable-diffusion-krita-plugin/modules/txt2img.py", line 42, in txt2img
    processed = process_images(p)
  File "/home/mmarco/stable-diffusion-krita-plugin/modules/processing.py", line 359, in process_images
    x_sample = modules.face_restoration.restore_faces(x_sample)
  File "/home/mmarco/stable-diffusion-krita-plugin/modules/face_restoration.py", line 19, in restore_faces
    return face_restorer.restore(np_image)
  File "/home/mmarco/stable-diffusion-krita-plugin/modules/codeformer_model.py", line 79, in restore
    self.face_helper.get_face_landmarks_5(only_center_face=False, resize=640, eye_dist_threshold=5)
  File "/home/mmarco/stable-diffusion-krita-plugin/repositories/CodeFormer/facelib/utils/face_restoration_helper.py", line 151, in get_face_landmarks_5
    bboxes = self.face_det.detect_faces(input_img)
  File "/home/mmarco/stable-diffusion-krita-plugin/repositories/CodeFormer/facelib/detection/retinaface/retinaface.py", line 231, in detect_faces
    keep = py_cpu_nms(bounding_boxes, nms_threshold)
  File "/home/mmarco/stable-diffusion-krita-plugin/repositories/CodeFormer/facelib/detection/retinaface/retinaface_utils.py", line 41, in py_cpu_nms
    keep = torchvision.ops.nms(
  File "/home/mmarco/stable-diffusion-krita-plugin/venv/lib/python3.8/site-packages/torchvision/ops/boxes.py", line 40, in nms
    _assert_has_ops()
  File "/home/mmarco/stable-diffusion-krita-plugin/venv/lib/python3.8/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.

Total progress: 20it [00:16, 13.72it/s]

To Reproduce
Steps to reproduce the behavior:

1. Select the "Restore faces" checkbox
2. Click on 'Apply txt2img'
3. See error

Expected behavior
An image would be created

Desktop (please complete the following information):

• OS: Linux

Additional context
Add any other context about the problem here.