SDXL Turbo, short for Stable Diffusion XL Turbo, is an innovative text-to-image model that can generate realistic images from text prompts in real time. This cutting-edge model sets a new standard for text-to-image generation by utilizing Adversarial Diffusion Distillation technology. SDXL Turbo operates by distilling a large diffusion model using this unique technique to synthesize images from text embeddings swiftly and effectively. With SDXL Turbo, there is no need to wait for multiple refinement steps; users can simply input their text and witness the magic of instantaneous image creation. This model represents a significant advancement in real-time text-to-image generation, offering unparalleled speed and quality in image synthesis.
The creators of SDXL Turbo are Joonho Kim, Jaehoon Lee, Seonghyeon Park, Taesung Kim, Minsu Cho, Sungjin Kim, and Junseok Lee. They are affiliated with institutions in South Korea such as KAIST, ETRI, and Naver. SDXL Turbo was developed to address the shortcomings of existing text-to-image models by generating high-quality images from text in a single step and real-time using a novel distillation technique.
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