ComfyUI-Upscaler-Tensorrt

ComfyUI Upscaler TensorRT ⚡

python cuda trt by-nc-sa/4.0

This project provides a Tensorrt implementation for fast image upscaling using models inside ComfyUI (2-4x faster)

Last tested: 07 June 2026 (ComfyUI v0.23.0 | Torch 2.12.0 | Python 3.12.3 | L40S | CUDA 13.0 | Ubuntu 24.04)

⭐ 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 ComfyUI-Upscaler-Tensorrt ComfyUI-Dwpose-Tensorrt ComfyUI-Rife-Tensorrt

ComfyUI-Whisper ComfyUI_InvSR ComfyUI-Thera ComfyUI-Video-Depth-Anything ComfyUI-PiperTTS

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⏱️ Performance

Note: The following results were benchmarked on FP16 engines inside ComfyUI, using 100 identical frames

Device	Model	Input Resolution (WxH)	Output Resolution (WxH)	FPS
RTX5090	4x-UltraSharp	512 x 512	2048 x 2048	12.7
RTX5090	4x-UltraSharp	1280 x 1280	5120 x 5120	2.0
RTX4090	4x-UltraSharp	512 x 512	2048 x 2048	6.7
RTX4090	4x-UltraSharp	1280 x 1280	5120 x 5120	1.1
RTX3060	4x-UltraSharp	512 x 512	2048 x 2048	2.2
RTX3060	4x-UltraSharp	1280 x 1280	5120 x 5120	0.35

🚀 Installation

• Install via the manager
• Or, navigate to the /ComfyUI/custom_nodes directory

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

Optionally, you can install and use TensorRT-RTX

pip install tensorrt-rtx 

🛠️ Supported Models

• These upscaler models have been tested to work with Tensorrt. Onnx are available here
• The exported tensorr