# ComfyUI Rife TensorRT ⚡ [![python](https://img.shields.io/badge/python-3.12.3-green)](https://www.python.org/downloads/release/python-3123//) [![cuda](https://img.shields.io/badge/cuda-13.0-green)](https://developer.nvidia.com/cuda-downloads) [![trt](https://img.shields.io/badge/TRT-10.14.1.48-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) 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 **Last tested**: 08 June 2026 (ComfyUI v0.23.0 | Torch 2.12.0 | Python 3.12.3 | L40S | CUDA 13.0 | Ubuntu 24.04) Screenshot 2026-06-08 at 09 21 51
## ⭐ Support If you like my projects and wish to see updates and new features, please consider supporting me. It helps a lot! [![ComfyUI-Depth-Anything-Tensorrt](https://img.shields.io/badge/ComfyUI--Depth--Anything--Tensorrt-blue?style=flat-square)](https://github.com/yuvraj108c/ComfyUI-Depth-Anything-Tensorrt) [![ComfyUI-Upscaler-Tensorrt](https://img.shields.io/badge/ComfyUI--Upscaler--Tensorrt-blue?style=flat-square)](https://github.com/yuvraj108c/ComfyUI-Upscaler-Tensorrt) [![ComfyUI-Dwpose-Tensorrt](https://img.shields.io/badge/ComfyUI--Dwpose--Tensorrt-blue?style=flat-square)](https://github.com/yuvraj108c/ComfyUI-Dwpose-Tensorrt) [![ComfyUI-Rife-Tensorrt](https://img.shields.io/badge/ComfyUI--Rife--Tensorrt-blue?style=flat-square)](https://github.com/yuvraj108c/ComfyUI-Rife-Tensorrt) [![ComfyUI-Whisper](https://img.shields.io/badge/ComfyUI--Whisper-gray?style=flat-square)](https://github.com/yuvraj108c/ComfyUI-Whisper) [![ComfyUI_InvSR](https://img.shields.io/badge/ComfyUI__InvSR-gray?style=flat-square)](https://github.com/yuvraj108c/ComfyUI_InvSR) [![ComfyUI-Thera](https://img.shields.io/badge/ComfyUI--Thera-gray?style=flat-square)](https://github.com/yuvraj108c/ComfyUI-Thera) [![ComfyUI-Video-Depth-Anything](https://img.shields.io/badge/ComfyUI--Video--Depth--Anything-gray?style=flat-square)](https://github.com/yuvraj108c/ComfyUI-Video-Depth-Anything) [![ComfyUI-PiperTTS](https://img.shields.io/badge/ComfyUI--PiperTTS-gray?style=flat-square)](https://github.com/yuvraj108c/ComfyUI-PiperTTS) [![buy-me-coffees](https://i.imgur.com/3MDbAtw.png)](https://www.buymeacoffee.com/yuvraj108cZ) [![paypal-donation](https://i.imgur.com/w5jjubk.png)](https://paypal.me/yuvraj108c) --- ## ⏱️ Performance _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 | | :----: | :-: | :-: | :-: | :-: | | H100 | rife49_ensemble_True_scale_1_sim | 512 x 512 | 2 | 45 | | H100 | rife49_ensemble_True_scale_1_sim | 512 x 512 | 4 | 57 | | H100 | rife49_ensemble_True_scale_1_sim | 1280 x 1280 | 2 | 21 | ## 🚀 Installation Navigate to the ComfyUI `/custom_nodes` directory ```bash git clone https://github.com/yuvraj108c/ComfyUI-Rife-Tensorrt cd ./ComfyUI-Rife-Tensorrt pip install -r requirements.txt ``` ## 🛠️ Supported Models The following RIFE models are supported and will be automatically downloaded and built: - **rife49_ensemble_True_scale_1_sim** (default) - Latest and most accurate - **rife48_ensemble_True_scale_1_sim** - Good balance of speed and quality - **rife47_ensemble_True_scale_1_sim** - Fastest option Models are automatically downloaded from [HuggingFace](https://huggingface.co/yuvraj108c/rife-onnx) and TensorRT engines are built on first use. ## ☀️ Usage 1. **Load Model**: Insert `Right Click -> Add Node -> tensorrt -> Load Rife Tensorrt Model` - Choose your preferred RIFE model (rife47, rife48, or rife49) - Select precision (fp16 recommended for speed, fp32 for maximum accuracy) - The model will be automatically downloaded and TensorRT engine built on first use 2. **Process Frames**: Insert `Right Click -> Add Node -> tensorrt -> Rife Tensorrt` - Connect the loaded model from step 1 - Input your video frames - Configure interpolation settings (multiplier, etc.) - Image resolutions between `256x256` and `3840x3840` are supported ## 🚨 Updates ### 08 June 2026 - **Automatic Model Management**: No more manual downloads! Models are automatically downloaded from HuggingFace and TensorRT engines are built on demand. [PR#14](https://github.com/yuvraj108c/ComfyUI-Rife-Tensorrt/pull/14) by [@reaperhammer](https://github.com/reaperhammer) - **Improved Workflow + Codebase**: New two-node system with `Load Rife Tensorrt Model` + `Rife Tensorrt` for better organization - **Remove cuda-python**: No more cuda installation issues on windows ## 👏 Credits - https://github.com/styler00dollar/VSGAN-tensorrt-docker - https://github.com/Fannovel16/ComfyUI-Frame-Interpolation - https://github.com/hzwer/ECCV2022-RIFE ## License [Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)](https://creativecommons.org/licenses/by-nc-sa/4.0/)