ComfyUI-TensorRT-Reforge on 6GB GPU

zaochuan5854 image_generationworkflow 128MB VRAM

Compatible with 6GB GPU

This node will run on RTX 2060, GTX 1660 Ti and similar GPUs with 6GB VRAM.

Optimized Settings for 6GB

VRAM Utilization

2%

You're using 2% of your 6GB VRAM, leaving 5.9GB headroom.

Recommended Batch Size

5

Start with batch size of 5 for optimal performance.

Suggested Resolution

1024x1024 or higher

Best balance of quality and performance for 6GB.

Performance Tips

  • Close other GPU-intensive applications
  • Low VRAM mode available
  • Monitor GPU usage with nvidia-smi

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VRAM Requirements

Base VRAM Requirement:
128MB (0.13GB)
Your GPU (6GB):
6144MB (6GB) - RTX 2060, GTX 1660 Ti
VRAM Utilization:
2%
Available Headroom:
5.88GB
Low VRAM Mode:
✓ Supported
Estimation Confidence:
MEDIUM

Python Dependencies

  • coloredlogs
  • flatbuffers
  • numpy
  • onnx>=1.18.0,<1.20.0
  • onnxruntime-gpu>=1.24.1,<1.27.0 # Use onnxruntime-gpu for TensorRT execution (1.27+ requires cu13)
  • onnxscript
  • packaging
  • protobuf
  • sympy
  • tensorrt-cu12>=10.15.1,<11.0.0

+ 2 more dependencies

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