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inference speed, fewer parameters, and higher A machine learning-based video super resolution and frame interpolation framework. Est. Hack the Valley II, 2018. - k4yt3x/video2x 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: Learn more about YouTube YouTube help videos Browse our video library for helpful tips, feature overviews, and step-by-step tutorials. YouTube Known Issues Get information on reported technical issues or scheduled maintenance. Run an internet speed test to make sure your internet can support the selected video resolution. Using multiple devices on the same network may reduce the speed that your device gets. You can also change the quality of your video to improve your experience. Check the YouTube videos resolution and the recommended speed needed to play the video. The table below shows the approximate speeds 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 Official repository for LTX-Video. Contribute to Lightricks/LTX-Video development by creating an account on GitHub. Jan 13, 2025 We present HunyuanVideo, a novel open-source video foundation model that exhibits performance in video generation that is comparable to, if not superior to, leading closed-source models. In order to train HunyuanVideo model, we adopt several key technologies for model learning, including data LTX-Video Support for ComfyUI. Contribute to Lightricks/ComfyUI-LTXVideo development by creating an account

on GitHub. Wan 2.1 for the GPU Poor. Contribute to deepbeepmeep/Wan2GP development by creating an account on GitHub.