Consistency Models · HackerPapers discussions

Consistency Models — mentioned by billconan

Fri, 10 Nov 2023 22:58:47 GMT

to my defense, if you look at the original paper https://arxiv.org/pdf/2303.01469.pdf the exact neural network used for the prediction method is omitted. apparently many neural networks can be used for this prediction method as long as they fulfill certain requirements. > why was diffusion necessary in the past? in the paper, one way to train a consistency model is distilling an existing diffusion model. But it can be trained from scratch too. "why was it necessary in the past " doesn't bother me that much. Before people know to use molding to make candles, they did it by dipping threads into…

Paper and discussion history. A mention is not an endorsement.

Consistency Models — mentioned by rattray

Wed, 12 Apr 2023 17:18:52 GMT

tl;dr, a faster alternative to diffusion models for image and A/V generation. Abstract of the paper: > Diffusion models have made significant breakthroughs in image, audio, and video generation, but they depend on an iterative generation process that causes slow sampling speed and caps their potential for real-time applications. To overcome this limitation, we propose consistency models, a new family of generative models that achieve high sample quality without adversarial training. They support fast one-step generation by design, while still allowing for few-step sampling to trade compute…

Paper and discussion history. A mention is not an endorsement.

Consistency Models — HN submission

Wed, 12 Apr 2023 17:13:03 GMT

Consistency Models

1 point; 0 discussion replies on HN. Paper and source history. A submission is not an endorsement.