ComfyUI-SNR-quant

Name: ComfyUI-SNR-quant
Author: liconstudio

ComfyUI nodes for adaptive FP8/BF16 mixed precision quantization of diffusion models with automatic fragility detection and outlier protection.

VRAM Requirements

Direct Answer: The ComfyUI node ComfyUI-SNR-quant requires a minimum base VRAM of 128MB 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:: 128MB (0.1GB)
Recommended GPU:: 4GB+ VRAM
Low VRAM Mode:: ✓ Supported
Estimation Confidence:: MEDIUM

🧮 Interactive VRAM Compatibility Estimator

1. Your GPU VRAM:

2. Base Model Weight:

3. Target Resolution:

4. ComfyUI Optimization launch argument:

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!

Deploy on High-Performance GPUs

Need more VRAM to run ComfyUI with this node? Rent low-cost, high-performance GPUs on Vast.ai instantly.

🚀 Deploy on Vast.ai

Deploy on Cloud GPUs

Need more VRAM to run ComfyUI with this node? Rent low-cost, high-performance cloud GPUs on RunPod instantly.

🚀 Deploy on RunPod

Python Dependencies

Direct Answer: Running ComfyUI-SNR-quant requires installing the following Python package dependencies: numpy>=1.24.0, safetensors>=0.4.0, torch>=2.1.0. This node specifically requires PyTorch version 2.1.0 or newer.

requirements.txt

numpy>=1.24.0
safetensors>=0.4.0
torch>=2.1.0

🛠️ Interactive Setup & Dependency Resolver

Operating System:

Environment Type:

Run this terminal command in your ComfyUI root folder:

# Loading command...

⚠️ Special Environment Requirements:

Requires PyTorch version 2.1.0+.

To update PyTorch for your selected setup, run:

# Loading PyTorch command...