Selur's Little Message Board

Hybrid_dev_2026.09.26-162846 und VapoursynthR79_torch_2026.09.29 sind oben und sollten die entsprechenden Dateien enthalten.

Cu Selur

Tested  Hybrid 2026.09.26.1 with Vapoursynth R79 and it works

Thanks,
Dan

Thanks for the feedback and much fun.

Cu Selur

Ps.: since R80 drops API-3 support, Hybrid atm. will stick to R79 (got ~40 filters in Hybrid which are still API-3 only)

2026-09-30 23:33:52.061
Script was successfully evaluated. Output video info:
Frames: 265 | Time: 0:00:08.842 | Size: 2560x720 | FPS: 30000/1001 = 29.97 | Format: YUV420P10
2026-09-30 23:34:26.535
Failed to evaluate the script:
Python exception: Numba needs NumPy 2.3 or less. Got NumPy 2.5.

Traceback (most recent call last):
File "vapoursynth.pyx", line 3832, in vapoursynth._vpy_evaluate
File "vapoursynth.pyx", line 3833, in vapoursynth._vpy_evaluate
File "C:\Users\halloman\AppData\Local\Temp\tempPreviewVapoursynthFile23_33_55_491.vpy", line 15, in
import vshavc as havc
File "c:\program files\hybrid\64bit\vapoursynth\Lib\site-packages\vshavc\__init__.py", line 41, in
from vshavc.vsslib.vsmodels import vs_sc_deoldify, vs_sc_ddcolor, vs_colormnet, vs_deepex, vs_deepremaster
File "c:\program files\hybrid\64bit\vapoursynth\Lib\site-packages\vshavc\vsslib\vsmodels.py", line 27, in
from vshavc.deepex import deepex_colorizer, ModelColorizer
File "c:\program files\hybrid\64bit\vapoursynth\Lib\site-packages\vshavc\deepex\__init__.py", line 31, in
from vshavc.deepex.utils.util_distortion import CenterPad, Normalize, RGB2Lab, ToTensor
File "c:\program files\hybrid\64bit\vapoursynth\Lib\site-packages\vshavc\deepex\utils\util_distortion.py", line 15, in
from numba import jit, u1, u2
File "c:\program files\hybrid\64bit\vapoursynth\Lib\site-packages\numba\__init__.py", line 59, in
_ensure_critical_deps()
File "c:\program files\hybrid\64bit\vapoursynth\Lib\site-packages\numba\__init__.py", line 45, in _ensure_critical_deps
raise ImportError(msg)
ImportError: Numba needs NumPy 2.3 or less. Got NumPy 2.5.

Something is wrong there.
I just checked, Hybrids torch-add-on comes with:
=> no clue, where NumPy 2.5 comes from on your system.

Ahh,.. I got it, Hybrids dev does come with numpy 2.5.2 and you didn't properly install the torch add-on.

Quote:Installation of 'torch'-addon

Delete old Hybrid/64bit/Vapoursynth-folder.
Extract the torch-addon into your Hybrid/64bit-folder.
Extract the vsgan_models into your Hybrid/64bit-folder. (belongs to vsgan which comes with the torch addon)

from the README.md

yes updated working

@Dan64: could you provide a Python 3.14 compatile spatial_correlation_sampler wheel?

Cu Selur

(09.10.2026, 15:14)Selur Wrote: [ -> ]@Dan64: could you provide a Python 3.14 compatile spatial_correlation_sampler wheel?

Cu Selur

For which version of torch ? please provide the pip installation command, so I'm sure to build against the same torch version that you are using.

Thanks,
Dan

Here's my pip list: https://pastebin.com/CFU9NYLX
I use Python 3.14.8 and the torch stack (CUDA 13) was installed with:
`torch_tensorrt` 2.14.0 (PyPI, cp314) is the cu130 build and pulls `tensorrt-cu13` 11.1.0.106.
`cupy-cuda13x[ctk]` adds the CUDA 13.4 toolkit wheels (`cuda-toolkit`, `nvidia-cuda-runtime`, …) with the headers;

Cu Selur

(09.10.2026, 19:40)Selur Wrote: [ -> ]Here's my pip list: https://pastebin.com/CFU9NYLX
I use Python 3.14.8 and the torch stack (CUDA 13) was installed with:

Code:

python.exe -m pip install -U packaging setuptools wheel python.exe -m pip install torch==2.14.1 torchvision==0.29.1 --index-url https://download.pytorch.org/whl/cu130 python.exe -m pip install torch_tensorrt==2.14.0 --extra-index-url https://pypi.nvidia.com python.exe -m pip install "cupy-cuda13x[ctk]"

`torch_tensorrt` 2.14.0 (PyPI, cp314) is the cu130 build and pulls `tensorrt-cu13` 11.1.0.106.
`cupy-cuda13x[ctk]` adds the CUDA 13.4 toolkit wheels (`cuda-toolkit`, `nvidia-cuda-runtime`, …) with the headers;

Cu Selur

I attached the build compiled for the CUDA 13.0

Dan