metadata

license: other
license_name: sai-nc-community
license_link: https://huggingface.co/stabilityai/sdxl-turbo/blob/main/LICENSE.TXT
language:
  - en
  - ru
  - fr
library_name: diffusers
pipeline_tag: text-to-image
tags:
  - text2image
  - sdxl
  - sdlx-turbo
  - turbo
  - kviai
  - stable diffusion xl
widget:
  - text: astronaut riding a horse
    output:
      url: >-
        https://github.com/woctezuma/stable-diffusion-colab/wiki/img/astronaut_2xl.jpg
  - text: a cute cat
    output:
      url: >-
        https://lh3.googleusercontent.com/proxy/mZL2Ls9NjwuvPaVlOKnHAl8wXlRzPwM0uH6Df5dWStLXVjMqK1ct2WP6kdJtUQyO-dfRHbMDp7K6CSBQWSZptABAJ2s3SHWGdjGYdzaZpjAB1cl4SBm8PQ
base_model: stabilityai/sdxl-turbo
instance_prompt: <lora:lcm-lora-sdxl-turbo:1>

SDXL-Turbo

It is lora fine-tuned model based on stabilityai/sdxl-turbo

Examples

Usage

You can use it via interface api:

import requests
import io
from PIL import Image

API_URL = "https://api-inference.huggingface.co/models/kviai/sdxl-turbo"
headers = {"Authorization": "Bearer YOUR_HF_API_TOKEN"}

def query(payload):
    response = requests.post(API_URL, headers=headers, json=payload)
    return response.content
image_bytes = query({
    "inputs": "Astronaut riding a horse",
})

image = Image.open(io.BytesIO(image_bytes))

Or you can download model from Files and Versions tab