Spandrel gives your project support for various PyTorch architectures meant for AI Super-Resolution, restoration, and inpainting.
- PyTorch 2.6.0.dev or later
- VapourSynth R66 or later
- einops
- safetensors
trt requires additional packages:
- Torch-TensorRT 2.6.0.dev or later
To install the latest nightly build of PyTorch and Torch-TensorRT, run:
pip install -U packaging setuptools wheel
pip install -U torch torchvision --index-url https://download.pytorch.org/whl/test/cu128
pip install --no-deps -U torch_tensorrt --index-url https://download.pytorch.org/whl/test/cu128
pip install -U tensorrt-cu12 tensorrt-cu12_bindings tensorrt-cu12_libs --extra-index-url https://pypi.nvidia.com
pip install -U vsspandrel
from vsspandrel import vsspandrel
ret = vsspandrel(clip, model_path="") # model path is required!See __init__.py for the description of the parameters.