1. We demonstrate the simplicity and effectiveness of cascaded diffusion video models for

high deﬁnition video generation.

2. We conﬁrm that recent ﬁndings in the text-to-image setting transfer to video generation,
such as the effectiveness of frozen encoder text conditioning and classiﬁer-free guidance.
3. We show new ﬁndings for video diffusion models that have implications for diffusion mod-
els in general, such as the effectiveness of the v-prediction parameterization for sample
quality and the effectiveness of progressive distillation of guided diffusion models for the
text-conditioned video generation setting.

4. We demonstrate qualitative controllability in Imagen Video, such as 3D object understand-

ing, generation of text animations, and generation of videos in various artistic styles.

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IMAGEN VIDEO
IMAGEN VIDEO- HIGH DEFINITION VIDEO GENERATION WITH DIFFUSION MODELS