<rss xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title>Dall-E - Tag - vo.rs</title><link>https://vo.rs/tags/dall-e/</link><description>Dall-E - Tag - vo.rs</description><generator>Hugo -- gohugo.io</generator><language>en</language><copyright>This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.</copyright><lastBuildDate>Tue, 28 Mar 2023 15:14:16 +0000</lastBuildDate><atom:link href="https://vo.rs/tags/dall-e/" rel="self" type="application/rss+xml"/><item><title>Harnessing the Power of ChatGPT to Generate Stunning Images with DALL-E 2</title><link>https://vo.rs/story/harnessing-the-power-of-chatgpt-to-generate-stunning-images-with-dall-e-2/</link><description>&lt;p&gt;I want to be straight with you up front: as of May 2026, OpenAI has retired both DALL-E 2 and DALL-E 3 from its API, and ChatGPT moved its built-in image generation onto the newer &lt;code&gt;gpt-image&lt;/code&gt; models back in late 2025. So this post is partly a period piece. But the &lt;em&gt;workflow&lt;/em&gt; it describes — using a language model to write prompts for an image model, then iterating — has not died at all. It has become the default way everyone generates images, baked so deeply into the tools that most people no longer notice they&amp;rsquo;re doing it. Understanding the loop on its own terms, separate from whichever model is currently fashionable, is the durable skill. The model names change every eighteen months; the technique does not.&lt;/p&gt;</description><pubDate>Tue, 28 Mar 2023 15:14:16 +0000</pubDate></item></channel></rss>