Deoldify Vapoursynth filter

[Selur]

Okay, something is wrong with my Lib\site-packages.
Now I get:

2024-09-24 21:00:13.239 F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\kornia\feature\lightglue.py:44: FutureWarning: `torch.cuda.amp.custom_fwd(args...)` is deprecated. Please use `torch.amp.custom_fwd(args..., device_type='cuda')` instead. @torch.cuda.amp.custom_fwd(cast_inputs=torch.float32) F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\kornia\feature\lightglue.py:44: FutureWarning: `torch.cuda.amp.custom_fwd(args...)` is deprecated. Please use `torch.amp.custom_fwd(args..., device_type='cuda')` instead. @torch.cuda.amp.custom_fwd(cast_inputs=torch.float32) F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\vsdeoldify\deepex\models\vgg19_gray.py:130: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. model.load_state_dict(torch.load(vgg19_gray_path)) F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\vsdeoldify\deepex\models\vgg19_gray.py:130: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. model.load_state_dict(torch.load(vgg19_gray_path)) 2024-09-24 21:00:26.437 Failed to evaluate the script: Python exception: DLL load failed while importing spatial_correlation_sampler_backend: Die angegebene Prozedur wurde nicht gefunden. 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\tempPreviewVapoursynthFile21_00_10_352.vpy", line 45, in clip = HAVC_main(clip=clip, EnableDeepEx=True, DeepExMethod=0, DeepExRefMerge=0, ScFrameDir=None, DeepExModel=0, DeepExEncMode=2, DeepExMaxMemFrames=0) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\vsdeoldify\__init__.py", line 297, in HAVC_main clip_colored = HAVC_deepex(clip=clip, clip_ref=clip_ref, method=DeepExMethod, render_speed=DeepExPreset, ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\vsdeoldify\__init__.py", line 574, in HAVC_deepex clip_colored = vs_colormnet(clip, clip_ref, image_size=-1, enable_resize=enable_resize, ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\vsdeoldify\vsslib\vsmodels.py", line 41, in vs_colormnet return vs_colormnet_sync(clip, clip_ref, image_size, enable_resize, frame_propagate, max_memory_frames) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\vsdeoldify\colormnet\__init__.py", line 177, in vs_colormnet_sync vid_render = colormnet_colorizer(image_size=image_size, vid_length=vid_length, enable_resize=enable_resize, ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\vsdeoldify\colormnet\__init__.py", line 45, in colormnet_colorizer return ColorMNetRender(image_size=image_size, vid_length=vid_length, enable_resize=enable_resize, ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\vsdeoldify\colormnet\colormnet_render.py", line 83, in __init__ self._colorize_init(image_size, vid_length, propagate) File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\vsdeoldify\colormnet\colormnet_render.py", line 137, in _colorize_init self.network = ColorMNet(self.config, self.config['model']).cuda().eval() ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\vsdeoldify\colormnet\model\network.py", line 37, in __init__ self.short_term_attn = LocalGatedPropagation(d_qk=64, # 256 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\vsdeoldify\colormnet\model\attention.py", line 763, in __init__ from spatial_correlation_sampler import SpatialCorrelationSampler File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\spatial_correlation_sampler\__init__.py", line 1, in from .spatial_correlation_sampler import SpatialCorrelationSampler, spatial_correlation_sample File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\spatial_correlation_sampler\spatial_correlation_sampler.py", line 6, in import spatial_correlation_sampler_backend as correlation ImportError: DLL load failed while importing spatial_correlation_sampler_backend: Die angegebene Prozedur wurde nicht gefunden.

I did extract into spatial_correlation_sampler-0.5.0-py312-cp312-win_amd64.whl.zip under "Hybrid\64bit\Vapoursynth\Lib\site-packages" but it seems like I'm missing some dll.
(going to bed now)

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