--- title: NVIDIA TensorRT Accelerates Stable Diffusion Nearly 2x... description: NVIDIA TensorRT has developed an 8-bit post-training quantization toolkit to speed up diffusion deployment on NVIDIA hardware while preserving image quality.... canonical: https://daily.dev/posts/nvidia-tensorrt-accelerates-stable-diffusion-nearly-2x-faster-with-8-bit-post-training-quantization-hylvx9m1t twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: NVIDIA TensorRT Accelerates Stable Diffusion Nearly 2x Faster with 8-bit Post-Training Quantization | daily.dev og:description: NVIDIA TensorRT has developed an 8-bit post-training quantization toolkit to speed up diffusion deployment on NVIDIA hardware while preserving image quality.... og:url: https://daily.dev/posts/nvidia-tensorrt-accelerates-stable-diffusion-nearly-2x-faster-with-8-bit-post-training-quantization-hylvx9m1t og:image: https://api.daily.dev/og/posts/hyLVX9M1t.png og:image:alt: NVIDIA TensorRT Accelerates Stable Diffusion Nearly 2x Faster with 8-bit Post-Training Quantization 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. # NVIDIA TensorRT Accelerates Stable Diffusion Nearly 2x Faster with 8-bit Post-Training Quantization **[NVIDIA Developer](https://daily.dev/sources/nvidiadev)** · 5 min read · 1 upvotes · 0 comments ## Summary NVIDIA TensorRT has developed an 8-bit post-training quantization toolkit to speed up diffusion deployment on NVIDIA hardware while preserving image quality. The performance of TensorRT INT8 and FP8 quantization recipes for diffusion models achieve significant speedups on NVIDIA RTX 6000 Ada GPUs. SmoothQuant is a popular PTQ method for diffusion models, but it has limitations. TensorRT has developed a fine-grained tuning pipeline called SmoothQuant to address these limitations. TensorRT 8-bit quantization can be used to accelerate diffusion models by calibrating, exporting ONNX, and building the TensorRT engine. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Similar posts on daily.dev - [Don’t just attend KubeCon \+ CloudNativeCon, Merge Forward your experience\!](https://daily.dev/posts/don-t-just-attend-kubecon-cloudnativecon-merge-forward-your-experience--l0rpp73x8) · CNCF · 1 upvotes · 0 comments - [Announcing H2 2026 KCDs](https://daily.dev/posts/announcing-h2-2026-kcds-m96goajm1) · CNCF · 1 upvotes · 0 comments - [Two months of Open Community Groups](https://daily.dev/posts/two-months-of-open-community-groups-asf52zhbs) · CNCF · 0 upvotes · 0 comments - [CNCF Unveils Schedule for KubeCon \+ CloudNativeCon Europe 2026](https://daily.dev/posts/cncf-unveils-schedule-for-kubecon-cloudnativecon-europe-2026-ikhcoa5cb) · CNCF · 2 upvotes · 0 comments - [CNCF Debuts KubeCon \+ CloudNativeCon Japan 2026 Schedule](https://daily.dev/posts/cncf-debuts-kubecon-cloudnativecon-japan-2026-schedule-xp5pyudub) · CNCF · 1 upvotes · 0 comments --- Tags: [#data-science](https://daily.dev/tags/data-science), [#genai](https://daily.dev/tags/genai), [#nvidia](https://daily.dev/tags/nvidia), [#stable-diffusion](https://daily.dev/tags/stable-diffusion), [#diffusion-models](https://daily.dev/tags/diffusion-models) [View this post on daily.dev](https://daily.dev/posts/nvidia-tensorrt-accelerates-stable-diffusion-nearly-2x-faster-with-8-bit-post-training-quantization-hylvx9m1t) ```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":"NVIDIA TensorRT Accelerates Stable Diffusion Nearly 2x Faster with 8-bit Post-Training Quantization","url":"https://daily.dev/posts/nvidia-tensorrt-accelerates-stable-diffusion-nearly-2x-faster-with-8-bit-post-training-quantization-hylvx9m1t","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/nvidia-tensorrt-accelerates-stable-diffusion-nearly-2x-faster-with-8-bit-post-training-quantization-hylvx9m1t"},"datePublished":"2024-03-08T01:35:40.883Z","dateModified":"2024-05-09T09:28:05.588Z","description":"NVIDIA TensorRT has developed an 8-bit post-training quantization toolkit to speed up diffusion deployment on NVIDIA hardware while preserving image quality....","image":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/d11962b797b1125e53cf2aa47eafe4fe?_a=AQAEufR","thumbnailUrl":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/d11962b797b1125e53cf2aa47eafe4fe?_a=AQAEufR","isAccessibleForFree":true,"articleSection":"NVIDIA Developer","inLanguage":"en","publisher":{"@type":"Organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180}},"author":{"@type":"Organization","name":"NVIDIA Developer","logo":"https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/86e45aab42ba48ce83103d01b1119910","url":"https://daily.dev/sources/nvidiadev"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/nvidia-tensorrt-accelerates-stable-diffusion-nearly-2x-faster-with-8-bit-post-training-quantization-hylvx9m1t","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":1},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"data-science,genai,nvidia,stable-diffusion,diffusion-models","timeRequired":"PT5M"} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"NVIDIA Developer","item":"https://daily.dev/sources/nvidiadev"},{"@type":"ListItem","position":3,"name":"NVIDIA TensorRT Accelerates Stable Diffusion Nearly 2x Faster with 8-bit Post-Training Quantization"}]} ```