--- title: "Generating Images Using VAEs, GANs, and Diffusion Models" url: https://daily.dev/posts/generating-images-using-vaes-gans-and-diffusion-models-o1pvxpugx source_url: https://towardsdatascience.com/generating-images-using-vaes-gans-and-diffusion-models-48963ddeb2b2?source=rss----7f60cf5620c9---4 type: article source: "Towards Data Science" published: 2023-06-07T06:10:54.212Z updated: 2026-05-21T02:12:33.985Z tags: ["ai", "ai-image-generation", "deep-learning"] reading_time: 21 upvotes: 0 comments: 0 language: 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: ## 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 · 0 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 --- 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)