[INFO] Hybrid work with RTX - Printable Version

Here's how I build Hybrids torch-addon:



# Base setup

* Create an empty Vapoursynth folder.

* Download portable Python (3.12)

https://www.python.org/ftp/python/3.12.9/python-3.12.9-embed-amd64.zip

* Download portable Vapoursynth

https://github.com/vapoursynth/vapoursynth/releases/download/R72/VapourSynth64-Portable-R72.zip

* Extract Python and then Vapoursynth into the Vapoursynth folder

* Change the content of the python312._pth to

  ```

  Scripts

  Lib\site-packages

  python312.zip

  .

  

  # Uncomment to run site.main() automatically

  #import site

  ```

* Install pip

 * Download the pip installer

   https://bootstrap.pypa.io/get-pip.py and move it into your Vapoursynth folder

 * Open a terminal inside the Vapoursynth and call  'python get-pip.py'

 

* Integrate Vapoursynth to the environment by calling 'python -m pip install wheel/VapourSynth-72-cp312-abi3-win_amd64.whl'



* Install torch

  ```

  python -m pip install -U packaging setuptools Wheel

  python -m   pip install -U torch torchvision torch_tensorrt --index-url https://download.pytorch.org/whl/cu126 --extra-index-url https://pypi.nvidia.com



  ``` 

* Install VSGAN

  ```

  python -m pip install -U vsgan

  ```

* Install vs-rife by calling:

  ```

  python -m pip install -U vsrife

  ```

* Install BasicVSR++

  ```

  python -m pip install -U vsbasicvsrpp

  ```

* Install DPIR

  ```

  python -m pip install -U vsdpir

  ```

* Install SCUNet

  ```

  python -m pip install -U vsscunet

  ```

* Install REALEsrgan

  ```

  python -m pip install -U vsrealesrgan

  ```

* Install HINet

  ```

  python -m pip install -U vshinet

  ```

* Install AnimeSR

  ```

  python -m pip install -U vsanimesr

  ```

* Install FeMaSR

  ```

  python -m pip install -U vsfemasr

  ```

* Install CodeFormer

  ```

  python -m pip install -U vscodeformer

  python -m pip install https://github.com/eddiehe99/dlib-whl/releases/download/v20.0.0/dlib-20.0.0-cp312-cp312-win_amd64.whl

  ```

* Install GRLIR

  ```

  python -m pip install -U vsgrlir

  ```   

* Install MFDIN

  ```

  python -m pip install -U vsmfdin

  ```   

* Install ProPainter

  ```

  python -m pip install https://github.com/dan64/vs-propainter/releases/download/v1.2.1/vspropainter-1.2.1-py3-none-any.whl

  ```   

* Install VSDDColor

  ```

  python -m pip install https://github.com/dan64/vs-deoldify/releases/download/v4.0.0/vsddcolor-1.0.1-py3-none-any.whl

  ```

* Install VSDDColor

  ```

  python -m pip install -U vsswinir

  ```

* Install DeOdify

  ```

  python -m pip install -U scikit-image

  python -m pip install -U numba

  python -m pip install https://github.com/dan64/vs-deoldify/releases/download/v5.0.4/vsdeoldify-5.0.4-py3-none-any.whl

  ```

  * Download:

    * https://colorizers.s3.us-east-2.amazonaws.com/colorization_release_v2-9b330a0b.pth

    * https://colorizers.s3.us-east-2.amazonaws.com/siggraph17-df00044c.pth

    * https://data.deepai.org/deoldify/ColorizeArtistic_gen.pth

    * https://www.dropbox.com/s/axsd2g85uyixaho/ColorizeStable_gen.pth?dl=0

    * https://data.deepai.org/deoldify/ColorizeVideo_gen.pth

    and place them in the Vapoursynth/vsdeoldify/models-folder

    * https://github.com/zhangmozhe/Deep-Exemplar-based-Video-Colorization/releases/download/v1.0/colorization_checkpoint.zip

      and extract it into the Vapoursynth\Lib\site-packages\vsdeoldify\deepex

    * https://download.pytorch.org/models/resnet101-63fe2227.pth

    * https://download.pytorch.org/models/resnet50-19c8e357.pth

    * https://dl.fbaipublicfiles.com/dinov2/dinov2_vits14/dinov2_vits14_pretrain.pth

    and place them in the Vapoursynth\Lib\site-packages\vsdeoldify\deepex\checkpoints-folder

    * https://github.com/yyang181/colormnet/releases/download/v0.1/DINOv2FeatureV6_LocalAtten_s2_154000.pth 

    and place it into the Vapoursynth/Lib/site-packages/vsdeoldify/colormnet/weights-folder

  * install spartial_correlation_sampler (needs new build, see: https://forum.selur.net/thread-3595-post-26036.html#pid26036)

    extract content of spatial_correlation_sampler (open as an archive) into Vapoursynth\Lib\site-packages



* Download Models for the installed tools

  ```

  python -m vsrife

  python -m vsdpir

  python -m vsscunet

  python -m vsrealesrgan

  python -m vshinet

  python -m vsfemasr

  python -m vscodeformer

  python -m vsgrlir

  python -m vsddcolor

  python -m vsswinir

  python -m vsbasicvsrpp

  ``` 

* Install DeepDeinterlace  (**fails due to openmim dependency**)

  Download https://github.com/pifroggi/vs_deepdeinterlace/archive/refs/heads/main.zip and place the vs_deepdeinterlace-folder (under vs_deepdeinterlace-main)  inside your Vapoursynth/Lib/site-packages folder

  ```

  python -m pip install positional_encodings 

  ```

  not supporting DfConvEkSA atm. due to openmin issues.