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[](https://developer.nvidia.com/tensorrt)
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[](https://creativecommons.org/licenses/by-nc-sa/4.0/deed.en)
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This project provides a [TensorRT](https://github.com/NVIDIA/TensorRT) implementation of [RIFE](https://github.com/hzwer/ECCV2022-RIFE) for ultra fast frame interpolation inside ComfyUI
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**Last tested**: 08 June 2026 (ComfyUI v0.23.0 | Torch 2.12.0 | Python 3.12.3 | L40S | CUDA 13.0 | Ubuntu 24.04)
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<img width="938" height="236" alt="Screenshot 2026-06-08 at 09 21 51" src="https://github.com/user-attachments/assets/8228bd5f-7683-4b66-a476-220d5f667808" />
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</div>
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@@ -72,10 +77,6 @@ Models are automatically downloaded from [HuggingFace](https://huggingface.co/yu
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- Configure interpolation settings (multiplier, etc.)
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- Image resolutions between `256x256` and `3840x3840` are supported
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## 🤖 Environment tested
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- WSL Ubuntu 24.04.03 LTS, Cuda 12.9, Tensorrt 10.13.3.9, Python 3.12.11, RTX 5080 GPU
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- Windows (Not tested, but should work)
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## 🚨 Updates
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