Stable Diffusion SDXL Turbo

What is Stable Diffusion SDXL Turbo?

SDXL Turbo (Stable Diffusion XL Turbo) is a text-to-image model that generates realistic images from text descriptions almost instantly. It uses Adversarial Diffusion Distillation, a technique that refines a large diffusion model so it can produce images in a single step instead of many. The result is real-time image generation with strong speed and quality.

Who created Stable Diffusion SDXL Turbo?

The model was developed by Joonho Kim, Jaehoon Lee, Seonghyeon Park, Taesung Kim, Minsu Cho, Sungjin Kim, and Junseok Lee, affiliated with institutions in South Korea including KAIST, ETRI, and Naver. Their goal was to overcome the limitations of earlier text-to-image models by enabling high-quality, real-time image generation in one step through a new distillation process.

How to use Stable Diffusion SDXL Turbo?

1. Prepare your data: Use a dataset in JSON format, where each entry includes an image URL and the text prompt describing it.
2. Open the interface: Access SDXL Turbo online at https://stablediffusionweb.com/SDXL-Turbo.
3. Enter your prompt: Type a text description of the image you want.
4. Generate: The model produces the corresponding image immediately.
5. Adjust settings: Tweak the ‘temperature’ setting to control variation in the output, and adjust other configuration options to customize results.

Feedback and contributions

• Email: Contact the authors directly via email.
• Hugging Face: Open an issue or pull request on the Hugging Face repository to comment, ask questions, or contribute to the model or its code.