stabilityai/sdxl-turbo

text-to-image model by stabilityai

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SDXL-Turbo is a fast generative text-to-image model that can synthesize photorealistic images from a text prompt in a single network evaluation. A real-time demo is available here: http://clipdrop.co/stable-diffusion-turbo Please note: For commercial use, please refer to https://stability.ai/license. SDXL-Turbo is a distilled version of SDXL 1.0, trained for real-time synthesis. SDXL-Turbo is based on a novel training method called Adversarial Diffusion Distillation (ADD) (see the technical report), which allows sampling large-scale foundational image diffusion models in 1 to 4 steps at high image quality. This approach uses score distillation to leverage large-scale off-the-shelf image diffusion models as a teacher signal and combines this with an adversarial loss to ensure high image fidelity even in the low-step regime of one or two sampling steps. For research purposes, we recommend our generative-models Github repository (https://github.com/Stability-AI/generative-models), which implements the most popular diffusion frameworks (both training and inference). The charts above evaluate user preference for…

stabilityai/sdxl-turbo on Hugging Face A short preview, not the full document.

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Inside the original model card — Document outline
  1. SDXL-Turbo Model Card
  2. Model Details
  3. Model Description
  4. Model Sources
  5. Evaluation
  6. Uses
  7. Direct Use
  8. Diffusers
  9. Out-of-Scope Use
  10. Limitations and Bias
  11. Limitations
  12. Recommendations

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Model overview

stabilityai/sdxl-turbo is a text-to-image model repository published by stabilityai on Hugging Face. The source reports the diffusers library.

This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.

Model facts

Task
text-to-image
Library
diffusers
Recent downloads (30 days)
629,760
Cumulative likes
2,668
Hugging Face trending score
4
Reported safetensors parameters
2,567,463,684
Architecture
Not reported
License
other
Access
Not gated by Hugging Face
Created
2023-11-27T15:19:11.000Z
Last modified
2024-07-10T11:33:43.000Z

Compatibility and lineage

Language coverage was not reported.

Base-model lineage was not included.

Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.

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Model card and usage instructions

Model files and configuration

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Source and freshness

Source: Hugging Face Hub. Metadata observed 2026-11-01T06:51:31.475Z. Daily imports are snapshots, not real-time monitoring.

Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.

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