In the pursuit of expediting the inference speed of the Latent Consistency Model (LCM), the author shares insights derived from practical endeavors. Achieving an impressive real-time processing capability, the LCM now boasts an inference speed of 33 frames per second for image-to-image tasks, particularly img2img, on an A100 RTX3090.

The post delves into the nuances of LCM, notable for its unique generation schedule and accelerated processing. The focus of this acceleration pertains to img2img (SDEdit), involving image synthesis and editing through text conditioning, albeit at a relatively low strength.

Of significance, the author emphasizes the empirical nature of the speed-up methods presented. Through exploration of various parameters and measurement of generation speed, the author identifies tips that led to substantial improvements without significant compromise to the quality of generated results. Note that the efficacy of these methods may vary based on environmental factors, cautioning against absolute reliance on the listed "good" methods when circumstances change.