Latent consistency models (LCMs) are a type of few-step image generation model that combines the benefits of latent diffusion and direct consistency models to produce high-resolution images in real time, significantly reducing the computational requirements of traditional diffusion-based methods. By operating on a lower-dimensional latent representation, LCMs can bypass the iterative denoising process, generating images with comparable quality to those produced by diffusion models but at a much faster speed. These models have been shown to achieve impressive results in image generation tasks, such as generating high-fidelity 1024x1024 images in under a second, and have the potential to be used in real-time production environments where speed is essential over image quality.