--- title: PIXART-α: A Diffusion Transformer Model for... description: Pixart-α is a text-to-image diffusion model that generates high-resolution images with competitive quality using only 10.8% of the training time compared to... canonical: https://daily.dev/posts/pixart--a-diffusion-transformer-model-for-text-to-image-generation-akoayddt1 twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: PIXART-α: A Diffusion Transformer Model for Text-to-Image Generation | daily.dev og:description: Pixart-α is a text-to-image diffusion model that generates high-resolution images with competitive quality using only 10.8% of the training time compared to... og:url: https://daily.dev/posts/pixart--a-diffusion-transformer-model-for-text-to-image-generation-akoayddt1 og:image: https://api.daily.dev/og/posts/akOAyddT1.png og:image:alt: PIXART-α: A Diffusion Transformer Model for Text-to-Image Generation 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. # PIXART-α: A Diffusion Transformer Model for Text-to-Image Generation **[MLOps Community](https://daily.dev/sources/mlopscommunity)** · 11 min read · 1 upvotes · 0 comments ## Summary Pixart-α is a text-to-image diffusion model that generates high-resolution images with competitive quality using only 10.8% of the training time compared to Stable Diffusion v1.5. This article explores the optimization of text-to-image training, the architecture and training strategy of Pixart-α, and compares the image quality of Pixart-α with Stable Diffusion XL. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: --- Tags: [#genai](https://daily.dev/tags/genai), [#stable-diffusion](https://daily.dev/tags/stable-diffusion), [#text-to-image](https://daily.dev/tags/text-to-image) [View this post on daily.dev](https://daily.dev/posts/pixart--a-diffusion-transformer-model-for-text-to-image-generation-akoayddt1) ```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":"PIXART-α: A Diffusion Transformer Model for Text-to-Image Generation","url":"https://daily.dev/posts/pixart--a-diffusion-transformer-model-for-text-to-image-generation-akoayddt1","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/pixart--a-diffusion-transformer-model-for-text-to-image-generation-akoayddt1"},"datePublished":"2024-03-07T14:09:09.927Z","dateModified":"2024-05-09T09:28:05.588Z","description":"Pixart-α is a text-to-image diffusion model that generates high-resolution images with competitive quality using only 10.8% of the training time compared to...","image":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/2de795dc29355d1a3f7627928a9088d4?_a=AQAEufR","thumbnailUrl":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/2de795dc29355d1a3f7627928a9088d4?_a=AQAEufR","isAccessibleForFree":true,"articleSection":"MLOps Community","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":"MLOps Community","logo":"https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/85bb6afcf3f6475fb88db30f2bb53ece","url":"https://daily.dev/sources/mlopscommunity"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/pixart--a-diffusion-transformer-model-for-text-to-image-generation-akoayddt1","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":1},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"genai,stable-diffusion,text-to-image","timeRequired":"PT11M"} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"MLOps Community","item":"https://daily.dev/sources/mlopscommunity"},{"@type":"ListItem","position":3,"name":"PIXART-α: A Diffusion Transformer Model for Text-to-Image Generation"}]} ```