Deoldify Vapoursynth filter

[Dan64]

But why you are installing nightly builds of pytorch instead of installing the stable version 2.5.1.
Pytorch is still in strong development and I don't think that installing a nightly build for production is a good idea.

Can you use the stable version 2.5.1, which in any case is an upgrade respect 2.4

Dan

[Selur]

Problem is that https://github.com/HolyWu/vs-rife and other HolyWu projects require 2.6.

Torch-TensorRT 2.5.0 doesn't have a necessary functionality I need to use, hence 2.6.0.dev is mandatory.

see: https://github.com/HolyWu/vs-rife/issues/65

Cu Selur

[Dan64]

Try to install the attached version (delete the previous one before this install).
The attached file cannot installed with pip.
You need to unzip directly in the lib directory.

Dan

[Selur]

Deleted all the files that come with the zip, extracted the zip into the Hybrid\64bit\Vapoursynth\Lib\site-packages folder.
With 'remote' I get:

2024-11-10 12:27:02.153 Failed to evaluate the script: Python exception: Failed to initialize ColorMNet[remote] try ColorMNet[local] 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\tempPreviewVapoursynthFile12_26_45_945.vpy", line 44, in 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 317, 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 615, in HAVC_deepex clip_colored = vs_colormnet(clip, clip_ref, clip_sc, image_size=-1, enable_resize=enable_resize, ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\vsdeoldify\vsslib\vsmodels.py", line 45, in vs_colormnet return vs_colormnet_remote(clip, clip_ref, clip_sc, image_size, enable_resize, frame_propagate, ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\vsdeoldify\colormnet\__init__.py", line 136, in vs_colormnet_remote HAVC_LogMessage(MessageType.EXCEPTION, "Failed to initialize ColorMNet[remote] try ColorMNet[local]") File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\vsdeoldify\vsslib\vsutils.py", line 47, in HAVC_LogMessage raise vs.Error(message_text) vapoursynth.Error: Failed to initialize ColorMNet[remote] try ColorMNet[local]

with 'local' I get:

2024-11-10 12:26:14.819 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\tempPreviewVapoursynthFile12_25_48_640.vpy", line 44, in clip = HAVC_main(clip=clip, EnableDeepEx=True, DeepExMethod=0, DeepExRefMerge=0, ScFrameDir=None, DeepExModel=0, DeepExEncMode=1, DeepExMaxMemFrames=0) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\vsdeoldify\__init__.py", line 317, 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 615, in HAVC_deepex clip_colored = vs_colormnet(clip, clip_ref, clip_sc, image_size=-1, enable_resize=enable_resize, ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\vsdeoldify\vsslib\vsmodels.py", line 48, in vs_colormnet return vs_colormnet_local(clip, clip_ref, clip_sc, image_size, enable_resize, frame_propagate, ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\vsdeoldify\colormnet\__init__.py", line 52, in vs_colormnet_local colorizer = 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 90, in __init__ self._colorize_init(image_size, vid_length, propagate) File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\vsdeoldify\colormnet\colormnet_render.py", line 144, 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.

So, sadly, that did not solve the problem.

Cu Selur

Ps.: would it help if I upload my Vapoursynth folder somewhere and share it?

[Dan64]

Currently the attached version is working only in the colormnet environment created with the requirements of RIFE: https://github.com/HolyWu/vs-rife

It is a problem to create a test environment from the vapoutsynth installation.

I will try a different setup

Dan

[Dan64]

The attached version will work with Hybrid.

I had to install the same nightly build on Hybrid with the command

python -m pip install --pre -U torch torchvision torch_tensorrt --index-url https://download.pytorch.org/whl/nightly/cu124 --extra-index-url https://pypi.nvidia.com

The problem is that with this update will work only ColorMNet, vsdeoldify is broken.
I get the following error

Failed to evaluate the script:
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/generate....load.html.

I will try to delete all the checkpoints, and let torch to download them.
I hope that this will fix this issue.

Dan

[Selur]

Should I also reinstall torch stuff?
Using just the attached zip I still get the same errors as before.

2024-11-10 14:42:51.426 Failed to evaluate the script: Python exception: Failed to initialize ColorMNet[remote] try ColorMNet[local] 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\tempPreviewVapoursynthFile14_42_39_304.vpy", line 44, in 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 317, 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 615, in HAVC_deepex clip_colored = vs_colormnet(clip, clip_ref, clip_sc, image_size=-1, enable_resize=enable_resize, ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\vsdeoldify\vsslib\vsmodels.py", line 45, in vs_colormnet return vs_colormnet_remote(clip, clip_ref, clip_sc, image_size, enable_resize, frame_propagate, ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\vsdeoldify\colormnet\__init__.py", line 136, in vs_colormnet_remote HAVC_LogMessage(MessageType.EXCEPTION, "Failed to initialize ColorMNet[remote] try ColorMNet[local]") File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\vsdeoldify\vsslib\vsutils.py", line 47, in HAVC_LogMessage raise vs.Error(message_text) vapoursynth.Error: Failed to initialize ColorMNet[remote] try ColorMNet[local]

2024-11-10 14:43:13.526 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\tempPreviewVapoursynthFile14_43_01_504.vpy", line 44, in clip = HAVC_main(clip=clip, EnableDeepEx=True, DeepExMethod=0, DeepExRefMerge=0, ScFrameDir=None, DeepExModel=0, DeepExEncMode=1, DeepExMaxMemFrames=0) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\vsdeoldify\__init__.py", line 317, 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 615, in HAVC_deepex clip_colored = vs_colormnet(clip, clip_ref, clip_sc, image_size=-1, enable_resize=enable_resize, ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\vsdeoldify\vsslib\vsmodels.py", line 48, in vs_colormnet return vs_colormnet_local(clip, clip_ref, clip_sc, image_size, enable_resize, frame_propagate, ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\vsdeoldify\colormnet\__init__.py", line 52, in vs_colormnet_local colorizer = 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 90, in __init__ self._colorize_init(image_size, vid_length, propagate) File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\vsdeoldify\colormnet\colormnet_render.py", line 144, 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.

Cu Selur

[Dan64]

yes, you need to align your torch version to the last nightly build.

PS D:\Programs\Hybrid\64bit\Vapoursynth> .\python -m pip install --pre -U torch torchvision torch_tensorrt --index-url https://download.pytorch.org/whl/nightly/cu124 --extra-index-url https://pypi.nvidia.com Looking in indexes: https://download.pytorch.org/whl/nightly/cu124, https://pypi.nvidia.com Requirement already satisfied: torch in d:\programs\hybrid\64bit\vapoursynth\lib\site-packages (2.6.0.dev20241101+cu124) Collecting torch   Using cached https://download.pytorch.org/whl/nightly/cu124/torch-2.6.0.dev20241109%2Bcu124-cp312-cp312-win_amd64.whl (2518.0 MB) Requirement already satisfied: torchvision in d:\programs\hybrid\64bit\vapoursynth\lib\site-packages (0.20.0.dev20241101+cu124) Collecting torchvision   Using cached https://download.pytorch.org/whl/nightly/cu124/torchvision-0.20.0.dev20241109%2Bcu124-cp312-cp312-win_amd64.whl (6.3 MB) Requirement already satisfied: torch_tensorrt in d:\programs\hybrid\64bit\vapoursynth\lib\site-packages (2.6.0.dev20241101+cu124) Collecting torch_tensorrt   Using cached https://download.pytorch.org/whl/nightly/cu124/torch_tensorrt-2.6.0.dev20241109%2Bcu124-cp312-cp312-win_amd64.whl (2.9 MB) Requirement already satisfied: filelock in d:\programs\hybrid\64bit\vapoursynth\lib\site-packages (from torch) (3.13.1) Requirement already satisfied: typing-extensions>=4.10.0 in d:\programs\hybrid\64bit\vapoursynth\lib\site-packages (from torch) (4.12.2) Requirement already satisfied: networkx in d:\programs\hybrid\64bit\vapoursynth\lib\site-packages (from torch) (3.3) Requirement already satisfied: jinja2 in d:\programs\hybrid\64bit\vapoursynth\lib\site-packages (from torch) (3.1.4) Requirement already satisfied: fsspec in d:\programs\hybrid\64bit\vapoursynth\lib\site-packages (from torch) (2024.6.1) Requirement already satisfied: setuptools in d:\programs\hybrid\64bit\vapoursynth\lib\site-packages (from torch) (75.1.0) Requirement already satisfied: sympy==1.13.1 in d:\programs\hybrid\64bit\vapoursynth\lib\site-packages (from torch) (1.13.1) Requirement already satisfied: mpmath<1.4,>=1.1.0 in d:\programs\hybrid\64bit\vapoursynth\lib\site-packages (from sympy==1.13.1->torch) (1.3.0) Requirement already satisfied: numpy in d:\programs\hybrid\64bit\vapoursynth\lib\site-packages (from torchvision) (1.26.4) Requirement already satisfied: pillow!=8.3.*,>=5.3.0 in d:\programs\hybrid\64bit\vapoursynth\lib\site-packages (from torchvision) (10.1.0) Collecting tensorrt-cu12==10.3.0 (from torch_tensorrt)   Using cached tensorrt_cu12-10.3.0-py2.py3-none-any.whl Collecting tensorrt-cu12-bindings==10.3.0 (from torch_tensorrt)   Using cached https://pypi.nvidia.com/tensorrt-cu12-bindings/tensorrt_cu12_bindings-10.3.0-cp312-none-win_amd64.whl (788 kB) Collecting tensorrt-cu12-libs==10.3.0 (from torch_tensorrt)   Using cached https://pypi.nvidia.com/tensorrt-cu12-libs/tensorrt_cu12_libs-10.3.0-py2.py3-none-win_amd64.whl (1062.8 MB) Requirement already satisfied: packaging>=23 in d:\programs\hybrid\64bit\vapoursynth\lib\site-packages (from torch_tensorrt) (24.1) Requirement already satisfied: nvidia-cuda-runtime-cu12 in d:\programs\hybrid\64bit\vapoursynth\lib\site-packages (from tensorrt-cu12-libs==10.3.0->torch_tensorrt) (12.6.68) Requirement already satisfied: MarkupSafe>=2.0 in d:\programs\hybrid\64bit\vapoursynth\lib\site-packages (from jinja2->torch) (2.1.5) Installing collected packages: tensorrt-cu12-bindings, tensorrt-cu12-libs, tensorrt-cu12, torch, torchvision, torch_tensorrt   Attempting uninstall: tensorrt-cu12-bindings     Found existing installation: tensorrt-cu12_bindings 10.5.0     Uninstalling tensorrt-cu12_bindings-10.5.0:       Successfully uninstalled tensorrt-cu12_bindings-10.5.0   Attempting uninstall: tensorrt-cu12-libs     Found existing installation: tensorrt-cu12_libs 10.5.0     Uninstalling tensorrt-cu12_libs-10.5.0:       Successfully uninstalled tensorrt-cu12_libs-10.5.0   Attempting uninstall: tensorrt-cu12     Found existing installation: tensorrt-cu12 10.5.0     Uninstalling tensorrt-cu12-10.5.0:       Successfully uninstalled tensorrt-cu12-10.5.0   Attempting uninstall: torch     Found existing installation: torch 2.6.0.dev20241101+cu124     Uninstalling torch-2.6.0.dev20241101+cu124:       Successfully uninstalled torch-2.6.0.dev20241101+cu124   WARNING: The scripts convert-caffe2-to-onnx.exe, convert-onnx-to-caffe2.exe, torchfrtrace.exe and torchrun.exe are installed in 'D:\Programs\Hybrid\64bit\Vapoursynth\Scripts' which is not on PATH.   Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location.   Attempting uninstall: torchvision     Found existing installation: torchvision 0.20.0.dev20241101+cu124     Uninstalling torchvision-0.20.0.dev20241101+cu124:       Successfully uninstalled torchvision-0.20.0.dev20241101+cu124   Attempting uninstall: torch_tensorrt     Found existing installation: torch_tensorrt 2.6.0.dev20241101+cu124     Uninstalling torch_tensorrt-2.6.0.dev20241101+cu124:       Successfully uninstalled torch_tensorrt-2.6.0.dev20241101+cu124 Successfully installed tensorrt-cu12-10.3.0 tensorrt-cu12-bindings-10.3.0 tensorrt-cu12-libs-10.3.0 torch-2.6.0.dev20241109+cu124 torch_tensorrt-2.6.0.dev20241109+cu124 torchvision-0.20.0.dev20241109+cu124

[Selur]

python -m pip install --pre -U torch torchvision torch_tensorrt --index-url https://download.pytorch.org/whl/nightly/cu124 --extra-index-url https://pypi.nvidia.com Looking in indexes: https://download.pytorch.org/whl/nightly/cu124, https://pypi.nvidia.com Requirement already satisfied: torch in f:\hybrid\64bit\vapoursynth\lib\site-packages (2.6.0.dev20241031+cu124) Collecting torch Downloading https://download.pytorch.org/whl/nightly/cu124/torch-2.6.0.dev20241109%2Bcu124-cp312-cp312-win_amd64.whl (2518.0 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 2.5/2.5 GB 11.1 MB/s eta 0:00:00 Requirement already satisfied: torchvision in f:\hybrid\64bit\vapoursynth\lib\site-packages (0.20.0.dev20241031+cu124) Collecting torchvision Downloading https://download.pytorch.org/whl/nightly/cu124/torchvision-0.20.0.dev20241109%2Bcu124-cp312-cp312-win_amd64.whl (6.3 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 6.3/6.3 MB 12.4 MB/s eta 0:00:00 Requirement already satisfied: torch_tensorrt in f:\hybrid\64bit\vapoursynth\lib\site-packages (2.6.0.dev20241031+cu124) Collecting torch_tensorrt Downloading https://download.pytorch.org/whl/nightly/cu124/torch_tensorrt-2.6.0.dev20241110%2Bcu124-cp312-cp312-win_amd64.whl (2.9 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 2.9/2.9 MB 6.8 MB/s eta 0:00:00 Requirement already satisfied: filelock in f:\hybrid\64bit\vapoursynth\lib\site-packages (from torch) (3.13.1) Requirement already satisfied: typing-extensions>=4.10.0 in f:\hybrid\64bit\vapoursynth\lib\site-packages (from torch) (4.12.2) Requirement already satisfied: networkx in f:\hybrid\64bit\vapoursynth\lib\site-packages (from torch) (3.3) Requirement already satisfied: jinja2 in f:\hybrid\64bit\vapoursynth\lib\site-packages (from torch) (3.1.4) Requirement already satisfied: fsspec in f:\hybrid\64bit\vapoursynth\lib\site-packages (from torch) (2024.6.1) Requirement already satisfied: setuptools in f:\hybrid\64bit\vapoursynth\lib\site-packages (from torch) (75.3.0) Requirement already satisfied: sympy==1.13.1 in f:\hybrid\64bit\vapoursynth\lib\site-packages (from torch) (1.13.1) Requirement already satisfied: mpmath<1.4,>=1.1.0 in f:\hybrid\64bit\vapoursynth\lib\site-packages (from sympy==1.13.1->torch) (1.3.0) Requirement already satisfied: numpy in f:\hybrid\64bit\vapoursynth\lib\site-packages (from torchvision) (1.26.4) Requirement already satisfied: pillow!=8.3.*,>=5.3.0 in f:\hybrid\64bit\vapoursynth\lib\site-packages (from torchvision) (10.1.0) Collecting tensorrt-cu12==10.3.0 (from torch_tensorrt) Using cached tensorrt_cu12-10.3.0-py2.py3-none-any.whl Collecting tensorrt-cu12-bindings==10.3.0 (from torch_tensorrt) Using cached https://pypi.nvidia.com/tensorrt-cu12-bindings/tensorrt_cu12_bindings-10.3.0-cp312-none-win_amd64.whl (788 kB) Collecting tensorrt-cu12-libs==10.3.0 (from torch_tensorrt) Using cached https://pypi.nvidia.com/tensorrt-cu12-libs/tensorrt_cu12_libs-10.3.0-py2.py3-none-win_amd64.whl (1062.8 MB) Requirement already satisfied: packaging>=23 in f:\hybrid\64bit\vapoursynth\lib\site-packages (from torch_tensorrt) (24.1) Requirement already satisfied: nvidia-cuda-runtime-cu12 in f:\hybrid\64bit\vapoursynth\lib\site-packages (from tensorrt-cu12-libs==10.3.0->torch_tensorrt) (12.6.68) Requirement already satisfied: MarkupSafe>=2.0 in f:\hybrid\64bit\vapoursynth\lib\site-packages (from jinja2->torch) (2.1.5) Installing collected packages: tensorrt-cu12-bindings, tensorrt-cu12-libs, tensorrt-cu12, torch, torchvision, torch_tensorrt Attempting uninstall: tensorrt-cu12-bindings Found existing installation: tensorrt-cu12_bindings 10.5.0 Uninstalling tensorrt-cu12_bindings-10.5.0: Successfully uninstalled tensorrt-cu12_bindings-10.5.0 Attempting uninstall: tensorrt-cu12-libs Found existing installation: tensorrt-cu12_libs 10.5.0 Uninstalling tensorrt-cu12_libs-10.5.0: Successfully uninstalled tensorrt-cu12_libs-10.5.0 Attempting uninstall: tensorrt-cu12 Found existing installation: tensorrt-cu12 10.5.0 Uninstalling tensorrt-cu12-10.5.0: Successfully uninstalled tensorrt-cu12-10.5.0 Attempting uninstall: torch Found existing installation: torch 2.6.0.dev20241031+cu124 Uninstalling torch-2.6.0.dev20241031+cu124: Successfully uninstalled torch-2.6.0.dev20241031+cu124 WARNING: The scripts convert-caffe2-to-onnx.exe, convert-onnx-to-caffe2.exe, torchfrtrace.exe and torchrun.exe are installed in 'F:\Hybrid\64bit\Vapoursynth\Scripts' which is not on PATH. Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. Attempting uninstall: torchvision Found existing installation: torchvision 0.20.0.dev20241031+cu124 Uninstalling torchvision-0.20.0.dev20241031+cu124: Successfully uninstalled torchvision-0.20.0.dev20241031+cu124 Attempting uninstall: torch_tensorrt Found existing installation: torch_tensorrt 2.6.0.dev20241031+cu124 Uninstalling torch_tensorrt-2.6.0.dev20241031+cu124: Successfully uninstalled torch_tensorrt-2.6.0.dev20241031+cu124 Successfully installed tensorrt-cu12-10.3.0 tensorrt-cu12-bindings-10.3.0 tensorrt-cu12-libs-10.3.0 torch-2.6.0.dev20241109+cu124 torch_tensorrt-2.6.0.dev20241110+cu124 torchvision-0.20.0.dev20241109+cu124

seems to have broken even more:

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=1, 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.

now BasicVSR++ doesn't work either.

2024-11-10 15:25:21.186 F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\mmengine\optim\optimizer\zero_optimizer.py:11: DeprecationWarning: `TorchScript` support for functional optimizers is deprecated and will be removed in a future PyTorch release. Consider using the `torch.compile` optimizer instead. from torch.distributed.optim import \ F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\mmengine\optim\optimizer\zero_optimizer.py:11: DeprecationWarning: `TorchScript` support for functional optimizers is deprecated and will be removed in a future PyTorch release. Consider using the `torch.compile` optimizer instead. from torch.distributed.optim import \ 2024-11-10 15:25:21.260 Failed to evaluate the script: Python exception: DLL load failed while importing _ext: 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\tempPreviewVapoursynthFile15_25_19_209.vpy", line 37, in from vsbasicvsrpp import basicvsrpp as BasicVSRPP File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\vsbasicvsrpp\__init__.py", line 13, in from .basicvsr_plusplus_net import BasicVSRPlusPlusNet File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\vsbasicvsrpp\basicvsr_plusplus_net.py", line 5, in from mmcv.ops import ModulatedDeformConv2d, modulated_deform_conv2d File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\mmcv\ops\__init__.py", line 3, in from .active_rotated_filter import active_rotated_filter File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\mmcv\ops\active_rotated_filter.py", line 10, in ext_module = ext_loader.load_ext( ^^^^^^^^^^^^^^^^^^^^ File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\mmcv\utils\ext_loader.py", line 13, in load_ext ext = importlib.import_module('mmcv.' + name) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "importlib\__init__.py", line 90, in import_module ImportError: DLL load failed while importing _ext: Die angegebene Prozedur wurde nicht gefunden.

:/

[Dan64]

I released an updated version of 4.5.0 you can install it with the command

python -m pip install https://github.com/dan64/vs-deoldify/releases/download/v4.5.0/vsdeoldify-4.5.0-py3-none-any.whl

Regarding BasicVSR++, I think that is necessary to release a new build of mmvc.
The last time it was a nightmare to obtain a working version...

But with your version torch-2.6.0.dev20241031+cu124 BasicVSR++ was working ?

Dan