SDXL

What is SDXL?

SDXL, short for Stable Diffusion XL Turbo, is a cutting-edge text-to-image model that excels in generating realistic images directly from text prompts in real-time. This innovative model leverages a novel distillation technique known as Adversarial Diffusion Distillation (ADD) to achieve impressive results. SDXL Turbo stands out by offering users the ability to create high-quality images swiftly and efficiently, eliminating the need for multiple refinement steps. With its Adversarial Diffusion Distillation technology, SDXL Turbo sets a new standard for text-to-image generation, delivering stunning visuals with ease and speed.

Who created SDXL?

SDXL Turbo was created by a team of researchers from South Korea, including Joonho Kim, Jaehoon Lee, Seonghyeon Park, Taesung Kim, Minsu Cho, Sungjin Kim, and Junseok Lee. These researchers are affiliated with institutions such as KAIST, ETRI, and Naver. The motivation behind SDXL Turbo was to address the limitations of existing text-to-image models by producing high-quality images from text in real-time using a novel distillation technique. The model implements Adversarial Diffusion Distillation (ADD) to generate images efficiently while maintaining high sampling fidelity.

How to use SDXL?

To use SDXL effectively, follow these step-by-step guidelines:

1. Prepare your dataset in JSON format with each example including an image URL and a text prompt.
2. Specify hyperparameters and model configurations for fine-tuning.
3. Utilize SDXL Turbo by accessing the interface at the provided link.
4. Enter your desired text prompts to generate corresponding images.
5. Adjust the temperature parameter to control the randomness of image generation.
6. For providing feedback or suggestions on SDXL Turbo, contact the authors via email or contribute through the Hugging Face repository by opening an issue or pull request.

By following these steps, you can make the most of SDXL and its capabilities in generating images from text prompts efficiently and effectively.