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 Wan2.1 offers these key features: 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.
The videos generated with tts are of higher quality and more consistent with the prompt than those generated without tts.
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