Home › Workflow Automation › ComfyUI-nunchaku

ComfyUI-nunchaku

A ComfyUI plugin that integrates Nunchaku—an efficient inference engine for 4-bit neural networks quantized with SVDQuant—into the ComfyUI workflow. It enables enhanced performance through features like multi-LoRA, ControlNet support, FP16 attention, and compatibility with modern GPUs.

Key Information

  • Category: Workflow Automation
  • Source: Github
  • Last updated: January 09, 2026

Structured Metrics

No structured metrics captured yet.

Links

Visit official website

Canonical source: https://github.com/mit-han-lab/ComfyUI-nunchaku

Related Tools

AI App Generator

Generate complete Next.js 14 apps from your AI idea with features like live sandbox testing, instant API setup, and full code ownership. Build, modify, and launch AI apps quickly and for free.
AI Sheets

Spreadsheet-like tool to work with datasets using prompts—create model-backed columns, test multiple models, and analyze/generate images.
ai-flow

ai-flow is an open-source tool that lets users visually build, manage, and monitor custom AI workflows using a drag-and-drop interface. It seamlessly connects various AI model APIs (such as GPT-4o, Stable Diffusion, FLUX, and others) using your own API keys, supports parallel processing, real-time monitoring, and import/export of workflows.
Blinko

Blinko is an open-source, self-hosted personal AI note tool built with TypeScript that prioritizes privacy. It allows users to instantly capture ideas as plain text with full Markdown support and leverages AI-powered Retrieval-Augmented Generation (RAG) for natural language note retrieval, all while ensuring data ownership through self-hosting.
ComfyUI

A powerful and modular GUI, API, and backend for diffusion models that allows users to design and execute advanced stable diffusion pipelines using a graph/node/flowchart-based interface. It supports image, video, audio models, and various optimizations.
ComfyUI-Florence2

A GitHub repository that integrates Microsoft’s Florence-2, an advanced vision foundation model, into ComfyUI. It enables prompt-based vision and vision-language tasks such as captioning, object detection, segmentation, and Document Visual Question Answering (DocVQA) on scanned documents.