Contribute to kijai/comfyui-wanvideowrapper development by creating an account on github. 知乎，中文互联网高质量的问答社区和创作者聚集的原创内容平台，于 2011 年 1 月正式上线，以「让人们更好的分享知识、经验和见解，找到自己的解答」为品牌使命。知乎凭借认真、专业、友善的社区氛围、独特的产品机制以及结构化和易获得的优质内容，聚集了中文互联网科技、商业、影视、时. Notably, on vsi-bench, which focuses on spatial reasoning in videos, video-r1-7b achieves a new state-of-the-art accuracy of 35. 8%, surpassing gpt-4o, a proprietary model, while using only 32 frames and 7b parameters. About 🎬 卡卡字幕助手 | videocaptioner - 基于 llm 的智能字幕助手 - 视频字幕生成、断句、校正、字幕翻译全流程处理！ - a powered tool for easy and efficient video subtitling. This highlights the necessity of explicit reasoning capability in solving … Introduced a novel taxonomy for vid-llms based on video representation and llm functionality. The model is trained on a large-scale dataset of diverse videos and can generate high-resolution videos with realistic and diverse content. It can generate 30 fps videos at 1216×704 resolution, faster than it takes to watch them. Wan2. 1 offers these key features: The table below shows the approximate speeds recommended to play each video resolution. Added a preliminary chapter, reclassifying video understanding tasks from the perspectives of granularity and language involvement, and enhanced the llm background section. Hack the valley ii, 2018. The model supports image-to-video, keyframe-based. Ltx-video is the first dit-based video generation model that can generate high-quality videos in real-time. · video-r1 significantly outperforms previous models across most benchmarks. Check the youtube video’s resolution and the recommended speed needed to play the video. A machine learning-based video super resolution and frame interpolation framework. 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.