LCM-LoRA

from https://huggingface.co/docs/diffusers/main/en/using-diffusers/inference_with_lcm_lora Latent Consistency Models (LCM) enable quality image generation in typically 2-4 steps making it possible to use diffusion models in almost real-time settings. From the official website: LCMs can be distilled from any pre-trained Stable Diffusion (SD) in only 4,000 training steps (~32 A100 GPU Hours) for generating high quality 768 x 768 resolution images in 2~4 steps or even one step, significantly accelerating text-to-image generation. We employ LCM to distill the Dreamshaper-V7 version of SD in just 4,000 training iterations.

My parameters on PixAI: This LoRA's Weight: 0.3 CFG Scale: 3 Steps: 5~8 Sampling method: "DPM++ 2S a Karras" or "Eular a"