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微信视频号的视频下载一直是个难题，本软件可轻松解决。 特点：界面更美化，体积小巧，只有5MB，而且是完全免费、无需安装，可免费下载视频号视频，且高清原画质量，没有任何 水印。 … Feb 25, 2025 · 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: Jan 21, 2025 · VideoLLaMA 3 is a series of multimodal foundation models with frontier image and video understanding capacity. 💡Click here to show detailed performance on video benchmarks VisoMaster is a powerful yet easy-to-use tool for face swapping and editing in images and videos. It utilizes AI to produce natural-looking results with minimal effort, making it ideal for both casual users and professionals. Feb 23, 2025 · Video-R1 significantly outperforms previous models across most benchmarks. 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. This highlights the necessity of explicit reasoning capability in solving video tasks, and confirms the LTX-Video is the first DiT-based video generation model that can generate high-quality videos in real-time. It can generate 30 FPS videos at 1216×704 resolution, faster than it takes to watch them. The model is trained on a large-scale dataset of diverse videos and can generate high-resolution videos with realistic and diverse content. The model supports image-to-video, keyframe-based 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. 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. Feb 25, 2025 · Contribute to kijai/ComfyUI-WanVideoWrapper development by creating an account on GitHub. A machine learning-based video super resolution and frame interpolation framework. Est. Hack the Valley II, 2018. - k4yt3x/video2x VACE is an all-in-one model designed for video creation and editing. It encompasses various tasks, including reference-to-video generation (R2V), video-to-video editing (V2V), and masked video-to-video editing (MV2V), allowing users to compose these tasks freely. This functionality enables users to explore diverse possibilities and streamlines their workflows effectively, offering a range of