4 LIMITATIONS AND SOCIETAL IMPACT

Generative modeling has made tremendous progress, especially in recent text-to-image models (Sa-
haria et al., 2022b; Ramesh et al., 2022; Rombach et al., 2022).
Imagen Video is another step
forward in generative modelling capabilities, advancing text-to-video AI systems. Video generative
models can be used to positively impact society, for example by amplifying and augmenting human
creativity. However, these generative models may also be misused, for example to generate fake,
hateful, explicit or harmful content. We have taken multiple steps to minimize these concerns, for

14

Figure 14: Frames from videos generated by Imagen Video for the text prompt “A teddy bear wear-
ing sunglasses playing guitar next to a cactus.” The samples on the left are produced by our original
model cascade, while the samples on the right are from our distilled cascade with 8 sampling steps
per stage. Both used constant guidance with w = 6 and static clipping.
IMAGEN VIDEO- HIGH DEFINITION VIDEO GENERATION WITH DIFFUSION MODELS