<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Philipp Münzner on JAVAPRO International</title><link>https://javapro-en.svenruppert.com/authors/philipp-m%C3%BCnzner/</link><description>Recent content in Philipp Münzner on JAVAPRO International</description><generator>Hugo</generator><language>en-US</language><lastBuildDate>Thu, 05 Feb 2026 07:00:01 +0000</lastBuildDate><atom:link href="https://javapro-en.svenruppert.com/authors/philipp-m%C3%BCnzner/index.xml" rel="self" type="application/rss+xml"/><item><title>Bridging Creativity and Code: Generative AI Video with Java and RunwayML</title><link>https://javapro-en.svenruppert.com/bridging-creativity-and-code-generative-ai-video-with-java-and-runwayml/</link><pubDate>Thu, 05 Feb 2026 07:00:01 +0000</pubDate><guid>https://javapro-en.svenruppert.com/bridging-creativity-and-code-generative-ai-video-with-java-and-runwayml/</guid><description>&lt;h2 id="introduction"&gt;&lt;strong&gt;Introduction&lt;/strong&gt; &lt;/h2&gt;
&lt;p&gt;Generative AI is revolutionizing creative workflows - from image synthesis and text-to-video to motion design and inpainting. While most of these applications live in the Python or web ecosystem, there’s a compelling case for integrating them into Java-based environments, especially in enterprise software or automation contexts. &lt;/p&gt;
&lt;p&gt;This article explores how you can control &lt;strong&gt;RunwayML&lt;/strong&gt;, a leading generative AI platform, from Java—turning static enterprise systems into engines of creativity. We&amp;rsquo;ll go beyond simple API calls and dive into &lt;strong&gt;video generation, frame processing, and end-to-end automation&lt;/strong&gt; using smart, production-ready Java libraries. &lt;/p&gt;</description></item></channel></rss>