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

git clone https://github.com/yuvraj108c/ComfyUI-Rife-Tensorrt
cd ./ComfyUI-Rife-Tensorrt
pip install -r requirements.txt

⚠️ Installation Issues (CUDA Versions)

This node defaults to CUDA 12 libraries (requirements.txt). If you are using CUDA 13, or if you experience dependency errors, please install the specific requirements file for your system:

For CUDA 13:

pip install -r requirements_cu13.txt

For CUDA 12 (Default):

pip install -r requirements.txt

This ensures the correct tensorrt-libs and tensorrt-bindings are installed to match your system.

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 and TensorRT engines are built on first use.

☀️ Usage

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
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, CUDA graph, etc.)
- Image resolutions between 256x256 and 3840x3840 are supported

🤖 Environment tested

WSL Ubuntu 24.04.03 LTS, Cuda 12.9, Tensorrt 10.13.3.9, Python 3.12.11, RTX 5080 GPU
Windows (Not tested, but should work)

🚨 Updates

December 2025

Automatic Model Management: No more manual downloads! Models are automatically downloaded from HuggingFace and TensorRT engines are built on demand
Improved Workflow: New two-node system with Load Rife Tensorrt Model + Rife Tensorrt for better organization
Updated Dependencies: TensorRT updated to 10.13.3.9 for better performance and compatibility

👏 Credits

License

Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)