original model, or even slightly better. When using ﬁxed guidance, our fully distilled pipeline scores
slightly lower than the original model, though the difference is minor. Combining the original base
model with ﬁxed guidance and distilled super-resolution models produced the highest CLIP score.
For all models, generated samples obtain better perceptual quality metrics than the original ground
truth data: By using classiﬁer-free guidance our models sample from a distribution tilted towards
these quality metrics, rather than from an accurate approximation of the original data distribution.
IMAGEN VIDEO- HIGH DEFINITION VIDEO GENERATION WITH DIFFUSION MODELS