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2024 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: 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 1216704 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 Jan 21, 2025 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 About | VideoCaptioner - LLM - - A powered tool for easy and efficient video subtitling. Contribute to kijai/ComfyUI-WanVideoWrapper development by creating an account on GitHub. Check the YouTube videos resolution and the recommended speed needed to play the video. The table below shows the approximate speeds recommended to play each video resolution. A machine learning-based video super resolution and frame interpolation

framework. Est. Hack the Valley II, 2018. - k4yt3x/video2x Mar 26, 2025 Qwen2.5-Omni is an end-to-end multimodal model by Qwen team at Alibaba Cloud, capable of understanding text, audio, vision, video, and performing real-time speech generation. LTX-Video Support for ComfyUI. Contribute to Lightricks/ComfyUI-LTXVideo development by creating an account on GitHub.