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MODEL Listed

sdxl-turbo

sdxl-turbo is a real-time text-to-image model from Stability AI that generates high-quality images in a single forward pass. Unlike traditional diffusion models that require multiple denoising steps, turbo uses a distilled approach to deliver fast inference without sacrificing detail. It integrates smoothly with the Hugging Face Diffusers library, making it accessible for developers already working in that ecosystem. Ideal for rapid prototyping, interactive applications, and use cases where speed matters more than absolute precision. While it produces fewer variations per prompt compared to full SDXL, it excels in scenarios needing quick iteration or live user feedback. As with any generative model, review the model card and license terms before deploying in production environments.

stabilityaitext to image
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01 / MODEL CARD

Model card

sdxl-turbo is a real-time text-to-image model from Stability AI that generates high-quality images in a single forward pass. Unlike traditional diffusion models that require multiple denoising steps, turbo uses a distilled approach to deliver fast inference without sacrificing detail. It integrates smoothly with the Hugging Face Diffusers library, making it accessible for developers already working in that ecosystem. Ideal for rapid prototyping, interactive applications, and use cases where speed matters more than absolute precision. While it produces fewer variations per prompt compared to full SDXL, it excels in scenarios needing quick iteration or live user feedback. As with any generative model, review the model card and license terms before deploying in production environments.

Model typetext to image
Providerstabilityai
Licenseother
02 / FILES & VERSIONS

Model files and versions

Model cardModel description and metadata available in this entry
Listed
Source repositoryhttps://huggingface.co/stabilityai/sdxl-turbo
View model source
Version informationUse the source repository for the latest version
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03 / DOWNLOAD

Download this model

We recommend using the ModelScope CLI or SDK. Install ModelScope first, then choose a full snapshot, single file, SDK or Git LFS workflow.

This entry points to Hugging Face. The commands use the matching ModelScope repository format; confirm that the repository exists on ModelScope before running them. Model repository: stabilityai/sdxl-turbo
Install ModelScope

Install the CLI and SDK dependency before downloading.

pip install modelscope
Download the full model repository

Download the complete weights, configuration and model card.

modelscope download --model stabilityai/sdxl-turbo
Download one file to a local directory

README.md is used as an example; replace it with another repository file when needed.

modelscope download --model stabilityai/sdxl-turbo README.md --local_dir ./dir
Download with the SDK

Useful in Python projects and automation scripts.

from modelscope import snapshot_download
model_dir = snapshot_download('stabilityai/sdxl-turbo')
Clone with Git

Make sure Git LFS is installed correctly.

git lfs install
git clone https://www.modelscope.cn/stabilityai/sdxl-turbo.git
Clone without downloading LFS blobs

Fetch the repository structure first, then pull large files when needed.

GIT_LFS_SKIP_SMUDGE=1 git clone https://www.modelscope.cn/stabilityai/sdxl-turbo.git
04 / WORKFLOW

How to use

  1. 01
    Step 1

    Read the model card and source information.

  2. 02
    Step 2

    Start with a small, non-sensitive evaluation.

  3. 03
    Step 3

    Review quality, licensing and usage limits.

  4. 04
    Step 4

    Adopt it only after validation.

05 / DISCUSSIONS

Discussions

Use this space to keep checking source information, usage experience and maintenance status.

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