Replicate demo:
Model card: https://huggingface.co/segmind/Segmind-VegaRT/
Segmind-VegaRT is a distilled consistency adapter for Segmind-Vega that allows to reduce the number of inference steps to only between 2 - 8 steps. Latent Consistency Model (LCM) LoRA was proposed in LCM-LoRA: A universal Stable-Diffusion Acceleration Module by Simian Luo, Yiqin Tan, Suraj Patil, Daniel Gu et al.
You can also try the original Segmind-Vega demo here: https://replicate.com/cjwbw/segmind-vega