--- title: Bringing Nunchaku 4-bit Diffusion Inference to Diffusers description: Nunchaku's SVDQuant 4-bit quantization method (W4A4) is now natively integrated into Hugging Face Diffusers via a new 'Nunchaku Lite' path. Pre-quantized... canonical: https://daily.dev/posts/bringing-nunchaku-4-bit-diffusion-inference-to-diffusers-52bez8xcq twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Bringing Nunchaku 4-bit Diffusion Inference to Diffusers | daily.dev og:description: Nunchaku's SVDQuant 4-bit quantization method (W4A4) is now natively integrated into Hugging Face Diffusers via a new 'Nunchaku Lite' path. Pre-quantized... og:url: https://daily.dev/posts/bringing-nunchaku-4-bit-diffusion-inference-to-diffusers-52bez8xcq og:image: https://api.daily.dev/og/posts/52bEz8xcq.png og:image:alt: Bringing Nunchaku 4-bit Diffusion Inference to Diffusers og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Bringing Nunchaku 4-bit Diffusion Inference to Diffusers **[Hugging Face](https://daily.dev/sources/huggingface)** · 11 min read · 0 upvotes · 0 comments ## Summary Nunchaku's SVDQuant 4-bit quantization method (W4A4) is now natively integrated into Hugging Face Diffusers via a new 'Nunchaku Lite' path. Pre-quantized checkpoints load with a standard `from_pretrained()` call — no local CUDA compilation needed, as kernels are fetched from the Hub via the `kernels` package. Nunchaku Lite patches `nn.Linear` modules with SVDQ W4A4 and AWQ W4A16 runtime layers, delivering ~30% speedup and up to 50% VRAM reduction vs BF16 baselines. Combined with `torch.compile`, speedup reaches 1.8x. NVFP4 precision requires Blackwell GPUs (RTX 50 series), while INT4 works on Turing/Ampere/Ada. The companion `diffuse-compressor` toolkit lets users quantize new architectures, package them as standard Diffusers repos, and publish to the Hub. A detailed walkthrough covers inspecting, calibrating, quantizing, packaging, and verifying a model (FLUX.2 Klein 4B as example), including handling structural rewrites like fused QKV projections. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Similar posts on daily.dev - [Faster Diffusion on Blackwell: MXFP8 and NVFP4 with Diffusers and TorchAO – PyTorch](https://daily.dev/posts/faster-diffusion-on-blackwell-mxfp8-and-nvfp4-with-diffusers-and-torchao-pytorch-i2hn4mzkr) · PyTorch · 0 upvotes · 0 comments - [TorchAO Quantized Models and Quantization Recipes Now Available on HuggingFace Hub – PyTorch](https://daily.dev/posts/torchao-quantized-models-and-quantization-recipes-now-available-on-huggingface-hub-pytorch-fyzjwynsb) · PyTorch · 2 upvotes · 0 comments --- Tags: [#data-science](https://daily.dev/tags/data-science), [#diffusion-models](https://daily.dev/tags/diffusion-models) [View this post on daily.dev](https://daily.dev/posts/bringing-nunchaku-4-bit-diffusion-inference-to-diffusers-52bez8xcq) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"Bringing Nunchaku 4-bit Diffusion Inference to Diffusers","url":"https://daily.dev/posts/bringing-nunchaku-4-bit-diffusion-inference-to-diffusers-52bez8xcq","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/bringing-nunchaku-4-bit-diffusion-inference-to-diffusers-52bez8xcq"},"datePublished":"2026-07-23T07:33:08.327Z","dateModified":"2026-08-24T06:56:27.796Z","description":"Nunchaku's SVDQuant 4-bit quantization method (W4A4) is now natively integrated into Hugging Face Diffusers via a new 'Nunchaku Lite' path. 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