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This work focuses on developing a high-quality text-to-video generative model using a pre-trained text-to-image model as a foundation. The goal is to create visually realistic, temporally coherent videos and maintain the creative generation capabilities of the T2I model. The proposed solution is LaVie, a video generation framework that utilizes cascaded video latent diffusion models.
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