Instructions to use refiners/sdxl.lcm.unet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Refiners
How to use refiners/sdxl.lcm.unet with Refiners:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
metadata
widget:
- text: beautiful scenery nature glass bottle landscape, purple galaxy bottle
output:
url: >-
https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/4bbe5dba-a55a-4f53-b045-8c2230365651/4bbe5dba-a55a-4f53-b045-8c2230365651.jpeg
parameters:
negative_prompt: text, watermark
civitai: https://civitai.com/images/9026063
license: openrail++
base_model: latent-consistency/lcm-sdxl
base_model_relation: adapter
language:
- en
library_name: refiners
pipeline_tag: image-to-image
tags:
- image-to-image
- stable-diffusion
- sdxl
- art
Stable Diffusion XL LCM

- Prompt
- beautiful scenery nature glass bottle landscape, purple galaxy bottle
- Negative Prompt
- text, watermark
Citation
@misc{luo2023latentconsistencymodelssynthesizing,
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},
url = {https://arxiv.org/abs/2310.04378}
}