It is designed to comprehensively assess the capabilities of mllms in processing video data, covering a wide range of visual domains, temporal durations, and data modalities. Learning united visual representation by alignment before projection if you like our project, please give us a star ⭐ on github for latest update Hack the valley ii, 2018 Unlike previous models that serve as offline mode (querying/responding to a full video), our model supports online interaction within a video stream It can proactively update responses during a stream, such as recording activity changes or helping with the next steps in real time. Wan2.1 offers these key features:
Better generated video for free We design an enhance block as a parallel branch
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