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I'm willing to bet that if you just treated each frame as an image, it would result in some weird stuff when you played them as a movie.

> penny per frame

Where did this come from?

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I do lots of large scale ML work, this was just sort of a random educated "order of magnitude" guess.

Seems like a pretty reasonable estimate, if it cost about $2 a hour to rent a decent GPU, that’s 18s per penny which sounds pretty doable to run one frame.

Think inference time was on the order of 4-5seconds per image on a v100, which you can rent for like .80 cents an hour, though you can get way better gpus like a100s for ~1.1 usd/h now. But ofc this is at 64px res in pixel space.

If you wanted to do this at high res, you would definitely use a latent diffusion model. The autoencoder is almost free to run, and reduces the dimensionality of high res images significantly, which makes it a lot cheaper to run the autoregressive diffusion model for multiple steps.

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