TensorRT Node for ComfyUI

By comfyanonymousView on GitHub →

This node enables the best performance on NVIDIA RTX™ Graphics Cards (GPUs) for Stable Diffusion by leveraging NVIDIA TensorRT.

How much VRAM does TensorRT Node for ComfyUI require?

Direct Answer: The ComfyUI node TensorRT Node for ComfyUI requires a minimum base VRAM of 512MB and is optimized for GPUs with at least 4GB of VRAM. Low VRAM mode is fully supported for resource-constrained setups.

High (2-4GB)
Base VRAM:
512MB (0.5GB)
Recommended GPU:
4GB+ VRAM
Low VRAM Mode:
✓ Supported
Estimation Confidence:
MEDIUM

Interactive VRAM Compatibility Estimator

Estimated Total VRAM: 3.00 GBTarget: 8 GB
✅ Comfortable Fit

Your GPU has plenty of headroom. You can run this node safely with your active configurations!

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What Python packages are required for TensorRT Node for ComfyUI?

Direct Answer: Running TensorRT Node for ComfyUI requires installing the following Python package dependencies: onnx!=1.16.2, tensorrt>=10.0.1. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
onnx!=1.16.2
tensorrt>=10.0.1

Interactive Setup & Dependency Resolver

Operating System:
Environment Type:
Run this terminal command in your ComfyUI root folder:
# Loading command...

Related Custom Nodes

The following custom nodes run in the same PyTorch / CUDA environment and share similar categories or workflows:

AAA Metadata System
by EricRollei128MB VRAM
AITocha Vision
by aitocha128MB VRAM
AI_Text_Comfyui
by Zch6111256MB VRAM
AK XZ Axis (XY for any KSampler)
by akawana256MB VRAM

Frequently Asked Questions

How much VRAM does TensorRT Node for ComfyUI require?

TensorRT Node for ComfyUI requires a minimum of 512MB (0.5GB) of VRAM for base operation. For optimal performance, a GPU with at least 4GB of VRAM is recommended. This node supports low VRAM mode for resource-constrained setups.

Can I run TensorRT Node for ComfyUI on an RTX 3060, RTX 4070, or RTX 4090?

✅ RTX 3060 (12GB): Yes, fully compatible with 10.3GB headroom. ✅ RTX 4070 (12GB): Yes, fully compatible with 10.3GB headroom. ✅ RTX 4070 Ti (16GB): Yes, fully compatible with 13.9GB headroom. ✅ RTX 4090 (24GB): Yes, fully compatible with 21.1GB headroom

What Python packages are required for TensorRT Node for ComfyUI?

To run TensorRT Node for ComfyUI, you need to install: onnx!=1.16.2, tensorrt>=10.0.1. You can install these using pip or add them to your requirements.txt file.

How can I reduce VRAM usage when running TensorRT Node for ComfyUI?

TensorRT Node for ComfyUI supports low VRAM mode. To reduce memory usage: (1) Enable --lowvram or --medvram flags in ComfyUI, (2) Reduce batch size to 1, (3) Use fp16 or fp8 precision if supported, (4) Close other GPU applications.

How do I install TensorRT Node for ComfyUI in ComfyUI?

To install TensorRT Node for ComfyUI: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/comfyanonymous/ComfyUI_TensorRT, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.