ComfyUI-nunchaku - AI Image Tools Tool

Overview

ComfyUI-nunchaku is a ComfyUI plugin that integrates Nunchaku — an efficient inference engine for 4-bit neural networks quantized with SVDQuant — into the ComfyUI workflow. It provides workflow-level support for multi‑LoRA, ControlNet, FP16 attention, and compatibility with modern GPUs.

Key Features

• Integrates Nunchaku inference engine into ComfyUI
• Supports 4-bit neural networks quantized with SVDQuant
• Multi‑LoRA support for combining LoRA weights
• ControlNet integration for conditional guidance
• FP16 attention support
• Compatibility with modern GPUs

Ideal Use Cases

• Run 4-bit quantized model inference inside ComfyUI pipelines
• Combine multiple LoRAs during generation workflows
• Incorporate ControlNet modules into ComfyUI flows
• Enable FP16 attention within ComfyUI pipelines
• Experiment with SVDQuant-quantized models in ComfyUI

Getting Started

• Visit the project's GitHub repository at the provided URL
• Review the repository README for installation and usage instructions
• Obtain SVDQuant-quantized models you intend to run
• Follow the repository steps to enable multi‑LoRA and ControlNet features

Key Information

• Category: Image Tools
• Type: AI Image Tools Tool