Nunchaku is a high-performance inference engine for 4-bit quantized neural networks as introduced in the SVDQuant paper (ICLR 2025 Spotlight). It absorbs outliers using low-rank components to enable aggressive quantization of diffusion models including Flux. The project provides ComfyUI integration and quantized model weights for practical deployment of highly compressed generative models.