<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Generative-Ai on Noureddine RAMDI</title><link>https://ramdi.fr/tags/generative-ai/</link><description>Recent content in Generative-Ai on Noureddine RAMDI</description><generator>Hugo</generator><language>en</language><lastBuildDate>Sat, 23 May 2026 20:41:27 +0000</lastBuildDate><atom:link href="https://ramdi.fr/tags/generative-ai/index.xml" rel="self" type="application/rss+xml"/><item><title>A practical knowledge base for mastering Stable Diffusion and generative AI workflows</title><link>https://ramdi.fr/github-stars/a-practical-knowledge-base-for-mastering-stable-diffusion-and-generative-ai-workflows/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/a-practical-knowledge-base-for-mastering-stable-diffusion-and-generative-ai-workflows/</guid><description>Explore a curated repository of tutorials and workflows for Stable Diffusion, fine-tuning, ComfyUI, Automatic1111, and cloud execution. Ideal for hands-on AI practitioners.</description></item><item><title>Tencent HY-World 2.0: multi-modal pipeline for persistent, editable 3D world generation</title><link>https://ramdi.fr/github-stars/tencent-hy-world-2-0-multi-modal-pipeline-for-persistent-editable-3d-world-generation/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/tencent-hy-world-2-0-multi-modal-pipeline-for-persistent-editable-3d-world-generation/</guid><description>Tencent&amp;rsquo;s HY-World 2.0 generates persistent 3D assets from text, images, or video using a four-stage pipeline. It outputs editable worlds compatible with Blender, Unity, and Unreal Engine.</description></item><item><title>Vibe Workflow: Embeddable node-based AI workflow builder for generative image and video pipelines</title><link>https://ramdi.fr/github-stars/vibe-workflow-embeddable-node-based-ai-workflow-builder-for-generative-image-and-video-pipelines/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/vibe-workflow-embeddable-node-based-ai-workflow-builder-for-generative-image-and-video-pipelines/</guid><description>Vibe Workflow is an open-source, self-hostable node-based AI workflow builder for generative image and video pipelines. Its reusable UI library enables embedding into React apps.</description></item><item><title>Mapping the generative AI landscape with the ai-collection curated directory</title><link>https://ramdi.fr/github-stars/mapping-the-generative-ai-landscape-with-the-ai-collection-curated-directory/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/mapping-the-generative-ai-landscape-with-the-ai-collection-curated-directory/</guid><description>Explore ai-collection, a comprehensive curated directory mapping 30+ categories of generative AI tools. Understand its structure, strengths, and how it helps navigate a fragmented AI market.</description></item><item><title>Exploring Microsoft's generative AI for beginners: a dual-language practical course</title><link>https://ramdi.fr/github-stars/exploring-microsoft-s-generative-ai-for-beginners-a-dual-language-practical-course/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/exploring-microsoft-s-generative-ai-for-beginners-a-dual-language-practical-course/</guid><description>Microsoft&amp;rsquo;s &amp;ldquo;Generative AI for Beginners&amp;rdquo; offers 21 lessons with Python and TypeScript examples covering LLMs, prompt engineering, RAG, and AI app building.</description></item></channel></rss>