nodes/yuvraj108c-ComfyUI-Rife-Tensorrt
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Yuvraj Seegolam
2024-10-04 14:23:26 +04:00
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[![trt](https://img.shields.io/badge/TRT-10.4.0-green)](https://developer.nvidia.com/tensorrt)
[![by-nc-sa/4.0](https://img.shields.io/badge/license-CC--BY--NC--SA--4.0-lightgrey)](https://creativecommons.org/licenses/by-nc-sa/4.0/deed.en)
![node](https://github.com/user-attachments/assets/5fd6d529-300c-42a5-b9cf-46e031f0bcb5)
</div>
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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## ⏱️ Performance
_Note: The following results were benchmarked on FP16 engines inside ComfyUI, using 1000 frames consisting of 2 alternating similar frames, averaged 2-3 times_
_Note: The following results were benchmarked on FP16 engines inside ComfyUI, using 2000 frames consisting of 2 alternating similar frames, averaged 2-3 times_
| Device | Rife Engine | Resolution| Multiplier | FPS |
| :----: | :-: | :-: | :-: | :-: |