Inconsistent Diffusion Trajectories Drive the Need for Consistency Models
RJ Honicky · [Paper Club] Intro to Diffusion Models and OpenAI sCM: Simple, Stable, Scalable Consistency Models · Nov 2, 2024 · at 9:59
RJ Honicky explains the mathematical motivation behind consistency models and flow matching during a Paper Club discussion on OpenAI's sCM.
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“The locations that you're learning are not basically on the same in the, in this latent space. They're not in the same trajectory As each other, right? So they like and this causes a lot of inefficiency, and that's sort of the whole point to this, the, these consistency models and other full matching and other things that use this technique is, is to sort of like be more efficient about the places you're sampling.”
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More from RJ Honicky
Major Image Models Have Not Yet Adopted Consistency Models
“None of this technology that we're discussing today is in any of really in any of the big models that we know and love with maybe of maybe with the exception of flux.”
Isolating Tangent Function Instability is OpenAI's Core Contribution in sCM
“And this is, I, in my opinion, the meat of the paper. So you have this, part of the, you have this tangent function that I had called out.”
GANs Outperform Diffusion on Benchmarks but Are Abandoned for Mode-Seeking
“The reason why people don't use them is because they're hard to train and they're, they have, they're very, they have mode seeking behavior, meaning it's hard to get any diversity and hard to control them. But for these benchmarks, they do the best.”
Consistency Models Generate High-Quality Images in a Single Pass
“With the regular diffusion models that we all know and love, they have to iterate multiple times generally to generate a good image. Whereas The, these consistency models are designed so they can generate a good image with only one pass through the network.”
Cosine Noise Schedules Eliminate Wasted Backward Steps in Diffusion Models
“They found in this paper that it's actually inefficient, that you end up
with a lot of wasted a way wasted backwards process backwards diffusion steps that you don't need and you can cut out a whole bunch of it just by using a cosine schedule.”
Consistency Models Map Any Trajectory Point Directly to Original Data
“What a consistency model does is it says that everything should be on the same trajectory, right? So I'm gonna, if I estimate it, I can I'm gonna learn how to map from any point on this trajectory to the to this point in the data.”