Generate images in one second on your Mac using a latent consistency model

What this post added

This post details the local setup and execution of Latent Consistency Models (LCMs) on Mac hardware (M1/M2 chips). It explains the underlying principle of LCMs being distilled from Stable Diffusion to achieve faster image generation with fewer steps (4-8 vs 25-50). The post provides prerequisites, Python setup instructions, repository cloning, dependency installation within a virtual environment, and command-line examples for generating images. It also includes performance benchmarks based on RAM and chip configurations and encourages community sharing of benchmarks.