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Distance Ratio Based Adjuster for Animeinterp, based onhttps://github.com/routineLife1/DRBA andhttps://github.com/HolyWu/vs-rife.

This project is modified fromHolyWu/vs-rife and achieves nearly the same interpolation quality as the originalDRBA project.

With TensorRT integration, it achieves a 400% acceleration, enabling real-time playback on high-performance NVIDIA GPUs.

• PyTorch 2.6.0 or later
• VapourSynth R66 or later
• vs-miscfilters-obsolete (only needed for scene change detection)
• cupy cupy-cuda11x or later (critical for acceleration)

trt requires additional packages:

• TensorRT 10.7.0.post1 or later
• Torch-TensorRT 2.6.0 or later

To install the latest stable version of PyTorch, Torch-TensorRT and cupy, run:

pip install -U packaging setuptools wheelpip install -U torch torchvision torch_tensorrt --index-url https://download.pytorch.org/whl/cu126 --extra-index-url https://pypi.nvidia.compip install -U cupy-cuda12x

pip install -U vsdrba==1.0.2

If you want to download all models at once, runpython -m vsdrba. If you prefer to only download the model youspecified at first run, setauto_download=True indrba_rife().

fromvsdrbaimportdrba_riferet=drba_rife(clip)

See__init__.py for the description of the parameters.