Deoldify Vapoursynth filter

[Selur]

Using that version I still get:

Script evaluation failed:
Python exception: Weights only load failed. This file can still be loaded, to do so you have two options, do those steps only if you trust the source of the checkpoint.
        (1) Re-running `torch.load` with `weights_only` set to `False` will likely succeed, but it can result in arbitrary code execution. Do it only if you got the file from a trusted source.
        (2) Alternatively, to load with `weights_only=True` please check the recommended steps in the following error message.
        WeightsUnpickler error: Unsupported global: GLOBAL functools.partial was not an allowed global by default. Please use `torch.serialization.add_safe_globals([partial])` or the `torch.serialization.safe_globals([partial])` context manager to allowlist this global if you trust this class/function.

Check the documentation of torch.load to learn more about types accepted by default with weights_only https://pytorch.org/docs/stable/generated/torch.load.html.

Traceback (most recent call last):
  File "src\\cython\\vapoursynth.pyx", line 3387, in vapoursynth._vpy_evaluate
  File "src\\cython\\vapoursynth.pyx", line 3388, in vapoursynth._vpy_evaluate
  File "j:\tmp\test.vpy", line 44, in <module>
    clip = HAVC_main(clip=clip, EnableDeepEx=True, DeepExMethod=0, DeepExRefMerge=0, ScFrameDir=None, DeepExModel=0, DeepExEncMode=0, DeepExMaxMemFrames=0)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\vsdeoldify\__init__.py", line 310, in HAVC_main
    clip_ref = HAVC_ddeoldify(clip, method=2, mweight=ddcolor_weight[w_id],
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\vsdeoldify\__init__.py", line 824, in HAVC_ddeoldify
    clipa = vs_sc_deoldify(clip, method=method, model=deoldify_model, render_factor=deoldify_rf,
            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\vsdeoldify\vsslib\vsmodels.py", line 143, in vs_sc_deoldify
    colorizer = m_cfg.get_image_colorizer(artistic=False, isvideo=True)
                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\vsdeoldify\deoldify\visualize.py", line 76, in get_image_colorizer
    return self._get_stable_video_colorizer(render_factor=render_factor)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\vsdeoldify\deoldify\visualize.py", line 137, in _get_stable_video_colorizer
    learn = gen_inference_wide(root_folder=root_folder, weights_name=weights_name)
            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\vsdeoldify\deoldify\generators.py", line 19, in gen_inference_wide
    learn.load(weights_name)
  File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\vsdeoldify\fastai\basic_train.py", line 267, in load
    if purge: self.purge(clear_opt=ifnone(with_opt, False))
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\vsdeoldify\fastai\basic_train.py", line 322, in purge
    state = torch.load(tmp_file)
            ^^^^^^^^^^^^^^^^^^^^
  File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\torch\serialization.py", line 1444, in load
    raise pickle.UnpicklingError(_get_wo_message(str(e))) from None
_pickle.UnpicklingError: Weights only load failed. This file can still be loaded, to do so you have two options, do those steps only if you trust the source of the checkpoint.
        (1) Re-running `torch.load` with `weights_only` set to `False` will likely succeed, but it can result in arbitrary code execution. Do it only if you got the file from a trusted source.
        (2) Alternatively, to load with `weights_only=True` please check the recommended steps in the following error message.
        WeightsUnpickler error: Unsupported global: GLOBAL functools.partial was not an allowed global by default. Please use `torch.serialization.add_safe_globals([partial])` or the `torch.serialization.safe_globals([partial])` context manager to allowlist this global if you trust this class/function.

Check the documentation of torch.load to learn more about types accepted by default with weights_only https://pytorch.org/docs/stable/generated/torch.load.html.

Cu Selur