GitHub - browser-use video-use: Edit videos with coding agents Introducing video-use — edit videos with Claude Code 100% open source Drop raw footage in a folder, chat with Claude Code, get final mp4 back Works for any content — talking heads, montages, tutorials, travel, interviews — without presets or menus
Troubleshoot YouTube video errors - Google Help 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
Rechercher des vidéos sur Google - Aide Recherche Google Rechercher et utiliser des temps forts dans une vidéo Important : Les temps forts ne sont pas disponibles dans certaines vidéos Si aucun temps fort n'est indiqué, il est possible que cette fonctionnalité ne soit pas activée pour cette vidéo
Pixelle-Video —— AI 全自动短视频引擎 - GitHub Pixelle-Video 采用模块化设计，整个视频生成流程清晰简洁： 从输入文本到最终视频输出，整个流程简洁清晰： 文案生成 → 配图规划 → 逐帧处理 → 视频合成 每个环节都支持灵活定制，可选择不同的 AI 模型、音频引擎、视觉风格等，满足个性化创作需求。
DepthAnything Video-Depth-Anything - GitHub This work presents Video Depth Anything based on Depth Anything V2, which can be applied to arbitrarily long videos without compromising quality, consistency, or generalization ability Compared with other diffusion-based models, it enjoys faster inference speed, fewer parameters, and higher consistent depth accuracy
Video-R1: Reinforcing Video Reasoning in MLLMs - GitHub Our Video-R1-7B obtain strong performance on several video reasoning benchmarks For example, Video-R1-7B attains a 35 8% accuracy on video spatial reasoning benchmark VSI-bench, surpassing the commercial proprietary model GPT-4o
YouTube Help Official YouTube Help Center where you can find tips and tutorials on using YouTube and other answers to frequently asked questions
Wan: Open and Advanced Large-Scale Video Generative Models 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