SDXL Turbo

FAQ from SDXL Turbo

What is SDXL Turbo?

SDXL Turbo is based on a novel distillation technique called Adversarial Diffusion Distillation (ADD), which can quickly generate high-quality images.

How does SDXL Turbo work?

SDXL Turbo operates through the application of Adversarial Diffusion Distillation (ADD), where a diffusion model is distilled into a more compact UNet model to synthesize images from text embeddings efficiently.

Where can I access the SDXL Turbo Online website?

You can access the SDXL Turbo Online website at https://www.sdxlturbo.top

How can I download SDXL Turbo?

The model weights and code for SDXL Turbo can be downloaded from Hugging Face.

Who are the authors of SDXL Turbo?

SDXL Turbo is attributed to a team of authors including Joonho Kim, Jaehoon Lee, Seonghyeon Park, Taesung Kim, Minsu Cho, Sungjin Kim, and Junseok Lee.

What are some of the main features of SDXL Turbo?

SDXL Turbo excels in text-to-image synthesis through Adversarial Diffusion Distillation (ADD), enabling single-step outputs with GAN-like advantages. It also showcases superior performance and inference speed.

How to get SDXL Turbo API?

You can get SDXL Turbo API on Stability AI's image editing platform Clipdrop.

What are the applications of SDXL Turbo?

SDXL Turbo has diverse applications in content creation, e-commerce, design, advertising, education, UI/UX design, AI applications, AR/VR experiences, media production, and personalized image creation.

What are the limitations of SDXL Turbo?

The generated images are restricted to a fixed resolution of 512x512 pixels. Text legibility and fidelity of faces and people may not be optimal. The autoencoding aspect of the model introduces a level of loss.