Let's quote the whole sentence, shall we? An LCM demands merely 32 A100 GPUs Hours training for 2-step inference, as de- picted in Figure 1. [1] Now let's loo

Let's quote the whole sentence, shall we? An LCM demands merely 32 A100 GPUs Hours training for 2-step inference, as de- picted in Figure 1. [1] Now let's look at the caption under Figure 1: LCMs can be distilled from any pre-trained Stable Diffusion (SD) in only 4,000 training steps (∼32 A100 GPU Hours) for generating high quality 768×768 resolution images in 2∼4 steps or even one step, significantly accelerating text-to-image generation. The training mentioned in your quote is distillation: it requires a previously trained SD model. You could have told just by reading the introduction: We propose a one-stage guided distillation method to efficiently convert a pretrained guided diffusion model into a latent consistency model by solving an augmented PF-ODE. [1] Section 4.2 in https://arxiv.org/abs/2310.04378 https://arxiv.org/abs/2310.04378