LCF is a fine-tuning method designed for pretrained LCM. LCF enables efficient few-step inference on customized datasets without teacher diffusion model, presenting a viable alternative to directly finetune a pretrained LCM.
4-step LCMs using Latent Consistency Fine-tuning (LCF) on two customized datasets: Pokemon Dataset (left), Simpsons Dataset (right). Through LCF, LCM produces images with customized styles.
@misc{luo2023latent, title={Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference}, author={Simian Luo and Yiqin Tan and Longbo Huang and Jian Li and Hang Zhao}, year={2023}, eprint={2310.04378}, archivePrefix={arXiv}, primaryClass={cs.CV} }