--- title: Generating Images Using VAEs, GANs, and Diffusion Models description: The goal of generative AI is to take training samples from some unknown, complex data distribution (e.g., the distribution of human faces) It’s important to be... canonical: https://daily.dev/posts/generating-images-using-vaes-gans-and-diffusion-models-o1pvxpugx twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Generating Images Using VAEs, GANs, and Diffusion Models | daily.dev og:description: The goal of generative AI is to take training samples from some unknown, complex data distribution (e.g., the distribution of human faces) It’s important to be... og:url: https://daily.dev/posts/generating-images-using-vaes-gans-and-diffusion-models-o1pvxpugx og:image: https://api.daily.dev/og/posts/O1pVxpUGx.png og:image:alt: Generating Images Using VAEs, GANs, and Diffusion Models 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. # Generating Images Using VAEs, GANs, and Diffusion Models **[Towards Data Science](https://daily.dev/sources/tds)** · 21 min read · 0 upvotes · 0 comments ## Summary The goal of generative AI is to take training samples from some unknown, complex data distribution (e.g., the distribution of human faces) It’s important to be familiar with deep learning and comfortable with Tensorflow/Keras. The generated data should be realistic and accurate compared to the actual data distribution. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: --- Tags: [#ai](https://daily.dev/tags/ai), [#ai-image-generation](https://daily.dev/tags/ai-image-generation), [#deep-learning](https://daily.dev/tags/deep-learning) [View this post on daily.dev](https://daily.dev/posts/generating-images-using-vaes-gans-and-diffusion-models-o1pvxpugx) ```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":"Generating Images Using VAEs, GANs, and Diffusion Models","url":"https://daily.dev/posts/generating-images-using-vaes-gans-and-diffusion-models-o1pvxpugx","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/generating-images-using-vaes-gans-and-diffusion-models-o1pvxpugx"},"datePublished":"2023-06-07T06:10:54.212Z","dateModified":"2026-05-21T02:12:33.985Z","description":"The goal of generative AI is to take training samples from some unknown, complex data distribution (e.g., the distribution of human faces) It’s important to be...","image":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/234348cc9310595abd07b86e000b9d0d?_a=AQADKdt","thumbnailUrl":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/234348cc9310595abd07b86e000b9d0d?_a=AQADKdt","isAccessibleForFree":true,"articleSection":"Towards Data Science","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":"Towards Data Science","logo":"https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/tds","url":"https://daily.dev/sources/tds"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/generating-images-using-vaes-gans-and-diffusion-models-o1pvxpugx","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":0},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"ai,ai-image-generation,deep-learning","timeRequired":"PT21M"} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"Towards Data Science","item":"https://daily.dev/sources/tds"},{"@type":"ListItem","position":3,"name":"Generating Images Using VAEs, GANs, and Diffusion Models"}]} ```