<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title>Bing: Video Lesson Class</title><link>http://www.bing.com:80/search?q=Video+Lesson+Class</link><description>Search results</description><image><url>http://www.bing.com:80/s/a/rsslogo.gif</url><title>Video Lesson Class</title><link>http://www.bing.com:80/search?q=Video+Lesson+Class</link></image><copyright>Copyright © 2026 Microsoft. All rights reserved. These XML results may not be used, reproduced or transmitted in any manner or for any purpose other than rendering Bing results within an RSS aggregator for your personal, non-commercial use. Any other use of these results requires express written permission from Microsoft Corporation. By accessing this web page or using these results in any manner whatsoever, you agree to be bound by the foregoing restrictions.</copyright><item><title>Wan: Open and Advanced Large-Scale Video Generative Models</title><link>https://github.com/Wan-Video/Wan2.1</link><description>Wan: Open and Advanced Large-Scale Video Generative Models In this repository, we present Wan2.1, a comprehensive and open suite of video foundation models that pushes the boundaries of video generation. Wan2.1 offers these key features: 👍 SOTA Performance: Wan2.1 consistently outperforms existing open-source models and state-of-the-art commercial solutions across multiple benchmarks. 👍 ...</description><pubDate>Tue, 13 May 2025 23:59:00 GMT</pubDate></item><item><title>Wan: Open and Advanced Large-Scale Video Generative Models</title><link>https://github.com/Wan-Video/Wan2.2</link><description>Visit their webpage for more details. LightX2V, a lightweight and efficient video generation framework that integrates Wan2.1 and Wan2.2, supporting multiple engineering acceleration techniques for fast inference. LightX2V-HuggingFace, offers a variety of Wan-based step-distillation models, quantized models, and lightweight VAE models.</description><pubDate>Thu, 28 Aug 2025 09:56:00 GMT</pubDate></item><item><title>GitHub - k4yt3x/video2x: A machine learning-based video super ...</title><link>https://github.com/k4yt3x/video2x</link><description>A machine learning-based video super resolution and frame interpolation framework. Est. Hack the Valley II, 2018. - k4yt3x/video2x</description><pubDate>Sun, 05 Apr 2026 17:45:00 GMT</pubDate></item><item><title>Find videos in Search - Google Help</title><link>https://support.google.com/websearch/answer/11216447?hl=en</link><description>You can find video results for most searches on Google Search. To help you find specific info, some videos are tagged with Key Moments. Key Moments work like chapters in a book to help you find the info you want. Important: Key Moments are added by video creators, or in some cases Google may detect the content and add Key Moments automatically.</description><pubDate>Fri, 03 Apr 2026 13:58:00 GMT</pubDate></item><item><title>Troubleshoot YouTube video errors - Google Help</title><link>https://support.google.com/youtube/answer/3037019?hl=en</link><description>Check the YouTube video’s resolution and the recommended speed needed to play the video. The table below shows the approximate speeds recommended to play each video resolution.</description><pubDate>Sun, 05 Apr 2026 13:56:00 GMT</pubDate></item><item><title>Stable Video Infinity: Infinite-Length Video Generation with Error ...</title><link>https://github.com/vita-epfl/Stable-Video-Infinity</link><description>We propose Stable Video Infinity (SVI) that is able to generate infinite-length videos with high temporal consistency, plausible scene transitions, and controllable streaming storylines.</description><pubDate>Thu, 25 Dec 2025 23:55:00 GMT</pubDate></item><item><title>GitHub - Lightricks/LTX-Video: Official repository for LTX-Video</title><link>https://github.com/Lightricks/LTX-Video</link><description>LTX-Video is the first DiT-based video generation model that contains all core capabilities of modern video generation in one model: synchronized audio and video, high fidelity, multiple performance modes, production-ready outputs, API access, and open access. It can generate up to 50 FPS videos at native 4K resolution with synchronized audio in one pass. The model is trained on a large-scale ...</description><pubDate>Sun, 05 Apr 2026 15:15:00 GMT</pubDate></item><item><title>YouTube Help</title><link>https://support.google.com/youtube/?hl=en</link><description>Official YouTube Help Center where you can find tips and tutorials on using YouTube and other answers to frequently asked questions.</description><pubDate>Sat, 04 Apr 2026 12:17:00 GMT</pubDate></item><item><title>GitHub - yt-dlp/yt-dlp: A feature-rich command-line audio/video ...</title><link>https://github.com/yt-dlp/yt-dlp</link><description>yt-dlp is a feature-rich command-line audio/video downloader with support for thousands of sites. The project is a fork of youtube-dl based on the now inactive youtube-dlc. INSTALLATION Detailed instructions Release Files Update Dependencies Compile USAGE AND OPTIONS General Options Network Options Geo-restriction Video Selection Download Options</description><pubDate>Sun, 05 Apr 2026 09:45:00 GMT</pubDate></item><item><title>HunyuanVideo: A Systematic Framework For Large Video ... - GitHub</title><link>https://github.com/Tencent-Hunyuan/HunyuanVideo</link><description>HunyuanVideo introduces the Transformer design and employs a Full Attention mechanism for unified image and video generation. Specifically, we use a "Dual-stream to Single-stream" hybrid model design for video generation. In the dual-stream phase, video and text tokens are processed independently through multiple Transformer blocks, enabling each modality to learn its own appropriate ...</description><pubDate>Sat, 03 Dec 2005 23:55:00 GMT</pubDate></item></channel></rss>