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+--- Thread: Deoldify Vapoursynth filter (/thread-3595.html)
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RE: Deoldify Vapoursynth filter - Selur - 13.02.2026
@Dan64: could you create a new spartial_correlation_sampler build with Python 3.13 and cu130?
Cu Selur
RE: Deoldify Vapoursynth filter - Dan64 - 14.02.2026
Torch version ?
RE: Deoldify Vapoursynth filter - Selur - 14.02.2026
torch 2.10.0+cu130
see: pip list
Cu Selur
RE: Deoldify Vapoursynth filter - Dan64 - 14.02.2026
Hello Selur,
I attached the zipped wheel.
I cannot test it because I don't have already switched to python 3.13 and torch 2.10 with CUDA 13.0.
Let me know if is working on your side.
Dan
RE: Deoldify Vapoursynth filter - Selur - 14.02.2026
Works!
Thanks!
One less hurdle.
(HolyWu's filter don't work with TRT+FP16 and dlib cuda version doesn't work)
Cu Selur
RE: Deoldify Vapoursynth filter - Dan64 - 15.02.2026
Hello Selur,
let me know if the attached dlib build is working on your side.
Dan
RE: Deoldify Vapoursynth filter - Selur - 15.02.2026
Thanks, but sadly not:
2026-02-15 14:24:46.364
Error on frame 0 request:
Traceback (most recent call last):
File "src/cython/vapoursynth.pyx", line 3222, in vapoursynth.publicFunction
File "src/cython/vapoursynth.pyx", line 3224, in vapoursynth.publicFunction
File "src/cython/vapoursynth.pyx", line 837, in vapoursynth.FuncData.__call__
File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\torch\utils\_contextlib.py", line 124, in decorate_context
return func(*args, **kwargs)
File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\vscodeformer\__init__.py", line 122, in inference
face_helper[local_index].get_face_landmarks_5(
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
only_center_face=only_center_face, resize=640, eye_dist_threshold=5
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\vscodeformer\face_restoration_helper.py", line 218, in get_face_landmarks_5
return self.get_face_landmarks_5_dlib(only_keep_largest)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^
File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\vscodeformer\face_restoration_helper.py", line 182, in get_face_landmarks_5_dlib
det_faces = self.face_detector(self.input_img, scale)
RuntimeError: Error while calling cudaOccupancyMaxPotentialBlockSize(&num_blocks,&num_threads,K) in file D:\PProjects\dlib\dlib\cuda\cuda_utils.h:164. code: 209, reason: no kernel image is available for execution on the deviceCu Selur
RE: Deoldify Vapoursynth filter - Dan64 - 15.02.2026
Try the attached script and let me know.
Dan
P.S.
check also if the following paths are available on your side (file: dlib\__init__.py):
if 'ON' == 'ON':
add_lib_to_dll_path('C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.0/lib/x64/cudnn.lib')
add_lib_to_dll_path('C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.0/lib/x64/cudart.lib')
RE: Deoldify Vapoursynth filter - Selur - 15.02.2026
I placed the .dat into the 'Hybrid\64bit\Vapoursynth\Lib\site-packages\vscodeformer\models' folder and renamed it to 'mmod_human_face_detector-4cb19393.dat' to replace the existing one.
Tried Vapoursynth:
2026-02-15 16:02:50.773
Error on frame 0 request:
Traceback (most recent call last):
File "src/cython/vapoursynth.pyx", line 3222, in vapoursynth.publicFunction
File "src/cython/vapoursynth.pyx", line 3224, in vapoursynth.publicFunction
File "src/cython/vapoursynth.pyx", line 837, in vapoursynth.FuncData.__call__
File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\torch\utils\_contextlib.py", line 124, in decorate_context
return func(*args, **kwargs)
File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\vscodeformer\__init__.py", line 122, in inference
face_helper[local_index].get_face_landmarks_5(
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
only_center_face=only_center_face, resize=640, eye_dist_threshold=5
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\vscodeformer\face_restoration_helper.py", line 218, in get_face_landmarks_5
return self.get_face_landmarks_5_dlib(only_keep_largest)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^
File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\vscodeformer\face_restoration_helper.py", line 182, in get_face_landmarks_5_dlib
det_faces = self.face_detector(self.input_img, scale)
RuntimeError: Error while calling cudaOccupancyMaxPotentialBlockSize(&num_blocks,&num_threads,K) in file D:\PProjects\dlib\dlib\cuda\cuda_utils.h:164. code: 209, reason: no kernel image is available for execution on the devicethen i tried:
F:\Hybrid\64bit\Vapoursynth>python test_dlib_cuda_13.py
Traceback (most recent call last):
File "F:\Hybrid\64bit\Vapoursynth\test_dlib_cuda_13.py", line 1, in <module>
import dlib
File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\dlib\__init__.py", line 28, in <module>
from _dlib_pybind11 import *
ImportError: DLL load failed while importing _dlib_pybind11: Das angegebene Modul wurde nicht gefunden.Cu Selur
RE: Deoldify Vapoursynth filter - Dan64 - 15.02.2026
I included mmod_human_face_detector.dat because was used by the script python test_dlib_cuda_13.py. CodeFormer is using the same model but with a different name and location.
But in this case the test script fails when dlib is imported. This means that in your PC is missing CUDA 13 or is not located in 'C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.0'.
In the case it is installed this means that is missing cuDNN.
You need:
1) download: cudnn-windows-x86_64-9.15.1.9_cuda13-archive.zip
2) extract the cuDNN package (it's a .zip file, not a real installer). Copy the files directly into the CUDA directory:
# Header
copy cudnn-windows-x86_64-*-archive\include\cudnn*.h ^
"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.0\include\"
# Library
copy cudnn-windows-x86_64-*-archive\lib\x64\cudnn*.lib ^
"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.0\lib\x64\"
# DLL (for CUDA 13.x, put them in bin\x64\)
copy cudnn-windows-x86_64-*-archive\bin\cudnn64_*.dll ^
"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.0\bin\x64\"This should fix the issue.
Dan
P.S.
as shown in release-compatibility-matrix
for pytorch version 2.10 with CUDA 13.0 is used CUDNN 9.15.1.9 (note that CUDA 13.0 is still considered experimental)