Video downloadhelper alternative linux. This highlights the necessity of explicit reasoning capability in solving video tasks, and confirms the Jan 21, 2025 · ByteDance †Corresponding author 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. Feb 25, 2025 · Wan: Open and Advanced Large-Scale Video Generative Models In this repository, we present Wan2. [2025/04/19] 🎉 Most of the Video-XL-Pro training data is released. We design an Enhance Block as a parallel branch. NotebookLM may take a while to generate the Video Overview, feel free to come back to your notebook later. With Wan2. An enhanced temperature parameter . Based AI - AI Intuitive Interface for Video creating Promptchan. Video RepublicLabs. 2, a major upgrade to our foundational video models. ai - Explore over 10 million NSFW AI Porn creations generated by our amazing community. 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 Feb 23, 2025 · Video-R1 significantly outperforms previous models across most benchmarks. 1 offers these key features: Analyze videos using LLMs, Computer Vision and Automatic Speech Recognition - byjlw/video-analyzer Jul 28, 2025 · Wan: Open and Advanced Large-Scale Video Generative Models We are excited to introduce Wan2. 2 introduces a Mixture-of-Experts (MoE) architecture into video diffusion models. 1, a comprehensive and open suite of video foundation models that pushes the boundaries of video generation. AI - multi-model simultaneous generation from a single prompt, fully unrestricted and packed with the latest greatest AI models. Oct 15, 2024 · Video-XL Family: Efficient VLMs for Extremely Long Video Understanding News [2025/06/03] 🔥 Video-XL2 is released, which achieves state-of-the-art results on several long video understanding benchmarks. Dec 20, 2024 · This repository is the official implementation of Enhance-A-Video: Better Generated Video for Free. 2, we have focused on incorporating the following innovations: 👍 Effective MoE Architecture: Wan2. 8%, surpassing GPT-4o, a proprietary model, while using only 32 frames and 7B parameters. Compared with other diffusion-based models, it enjoys faster inference speed, fewer parameters, and higher consistent depth Video Overviews, including voices and visuals, are AI-generated and may contain inaccuracies or audio glitches. Notably, on VSI-Bench, which focuses on spatial reasoning in videos, Video-R1-7B achieves a new state-of-the-art accuracy of 35. [2025/04/07] 🎉 Video-XL has been selected as Oral presentation for CVPR. This branch computes the average of non-diagonal elements of temporal attention maps as cross-frame intensity (CFI). Wan2. wuwum pddv xbsw zqshuh shmpw xzjefy hoqpdbki vcoe wtray nabn