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Nunchaku
Nunchaku is a high-performance inference engine that accelerates 4-bit neural networks using SVDQuant.
Nunchaku is a high-performance inference engine optimized for 4-bit neural networks, implementing the SVDQuant quantization technique. It is designed for researchers and developers working with large diffusion models like FLUX.1, Qwen-Image, and SANA. The engine handles 4-bit weights and activations by migrating outliers and using low-rank components to maintain visual fidelity. It offers substantial speedups and reduces memory requirements, allowing models to run efficiently on GPUs like the NVIDIA RTX 4090 and RTX 5090. Features include multi-LoRA support, ControlNet integration, and compatibility with ComfyUI via native nodes.
Nunchaku at a glance
- Best for: Software engineer, Designer
- Runs on: Python, open source
- Pricing: Free
- Released: November 2024
- Category: AI image tool
- Website: github.com/nunchux-ai/nunchaku
Key features
- Run 4-bit neural networks with SVDQuant
- Support multi-LoRA and ControlNet
- Provide ComfyUI integration
- Execute asynchronous offloading
- Support NVFP4 precision on NVIDIA RTX 5090
- Optimize kernel fusion for low-rank branches
Use it for
- Generate images using quantized diffusion models
- Run FLUX and Qwen-Image models locally with low VRAM
- Integrate 4-bit models into ComfyUI workflows
Alternatives to Nunchaku
- Infernix — Serves massive Qwen models quickly on a single consumer GPU with advanced caching.
- Kyojin — Runs 100 GB-class models in 128 GB with speculative decoding.
- stable-diffusion.cpp — Runs diffusion models efficiently in pure C and C++ with no external dependencies.
- SD.Next — Supports dozens of models and advanced quantization for low VRAM usage.
- SANA — Provides optimized pipelines for generating high-resolution images and videos.
- Mochi Diffusion — Runs Stable Diffusion and FLUX models natively on Mac hardware with full offline privacy.
- Flux — Runs via API or as open weights on your own infrastructure.
- KohakuMossTrainer — Fits adapter training onto cards with 6 GB of VRAM.
- SpawnDev.ILGPU.ML — Runs in-browser neural network inference using 6 backends without servers
- Shisei — 💃 Free CC0 mannequin pose reference library for AI image tools (Nano Banana, ChatGPT, ComfyUI, Midjourney)
- Invoke — Offers an industry-leading web UI and a fully integrated unified canvas.
- Dsh Sd Bridge Guard — Connects DeepSeek directly to local Stable Diffusion without manual setup.
All Nunchaku alternatives