<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Video Generation on Noureddine RAMDI</title><link>https://ramdi.fr/tags/video-generation/</link><description>Recent content in Video Generation 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/video-generation/index.xml" rel="self" type="application/rss+xml"/><item><title>Lynx: modular personalized video generation with dual adapters on a frozen diffusion transformer</title><link>https://ramdi.fr/github-stars/lynx-modular-personalized-video-generation-with-dual-adapters-on-a-frozen-diffusion-transformer/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/lynx-modular-personalized-video-generation-with-dual-adapters-on-a-frozen-diffusion-transformer/</guid><description>Lynx generates personalized videos from a single image using a frozen Diffusion Transformer with ID and Ref adapters. This modular design balances fidelity and efficiency.</description></item><item><title>StereoWorld: stereo vision-based 3D-consistent video generation from binocular inputs</title><link>https://ramdi.fr/github-stars/stereoworld-stereo-vision-based-3d-consistent-video-generation-from-binocular-inputs/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/stereoworld-stereo-vision-based-3d-consistent-video-generation-from-binocular-inputs/</guid><description>StereoWorld uses binocular stereo vision cues to guide 3D-consistent stereo video generation, offering a biologically inspired approach to scene geometry understanding.</description></item><item><title>daVinci-MagiHuman: Simplifying multimodal video and audio generation with a single-stream transformer</title><link>https://ramdi.fr/github-stars/davinci-magihuman-simplifying-multimodal-video-and-audio-generation-with-a-single-stream-transformer/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/davinci-magihuman-simplifying-multimodal-video-and-audio-generation-with-a-single-stream-transformer/</guid><description>daVinci-MagiHuman uses a 15B-parameter single-stream transformer with a sandwich architecture to generate video and audio from text, achieving competitive quality and fast inference on a single H100 GPU.</description></item><item><title>heygen-com/skills: modular AI agent skills for avatar and video generation</title><link>https://ramdi.fr/github-stars/heygen-com-skills-modular-ai-agent-skills-for-avatar-and-video-generation/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/heygen-com-skills-modular-ai-agent-skills-for-avatar-and-video-generation/</guid><description>heygen-com/skills offers modular AI agent skills to create digital avatars and videos from photos, integrating with multiple coding agents via an agent-driven install pattern.</description></item><item><title>Inside LTX Video Generator for Mac: Bridging SwiftUI with Python for local AI video generation</title><link>https://ramdi.fr/github-stars/inside-ltx-video-generator-for-mac-bridging-swiftui-with-python-for-local-ai-video-generation/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-ltx-video-generator-for-mac-bridging-swiftui-with-python-for-local-ai-video-generation/</guid><description>LTX Video Generator for Mac runs complex AI video generation entirely on Apple Silicon by bridging native SwiftUI with a Python subprocess. It manages large models, audio-video sync, and long tasks locally.</description></item></channel></rss>