LCM: Latent Consistency Model

LCM (Latent Consistency Model) is a new feature that provides support for SD 1.5 and SD-XL models.

Installation

Download the LCM LoRA models and place them in your LoRA folder (models/lora or custom):

As they have the same name, we recommend doing them one at a time and then renaming it before downloading the next.

Load your preferred SD 1.5 or SD-XL model that you want to use LCM with
Load the correct LCM lora (lcm-lora-sdv1-5 or lcm-lora-sdxl) into your prompt, ex: <lora:lcm-lora-sdv1-5:1>
Set your sampler to LCM
Set number of steps to a low number, e.g. 4-6 steps for SD 1.5, 2-8 steps for SD-XL
Set your CFG Scale to 1 or 2 (or somewhere between, play with it for best quality)
Optionally, turning on Hypertile and/or FreeU will greatly increase speed and quality of output images
Generate!

This also works with latent upscaling, as a second pass/hires fix.
LCM scheduler does not support steps higher than 50
The cli/lcm-convert.py script can convert any SD 1.5 or SD-XL model to an LCM model by baking in the LoRA and uploading to Huggingface