FAQ from SDXL Turbo
What is SDXL Turbo?
SDXL Turbo is an advanced generative text-to-image model leveraging Adversarial Diffusion Distillation (ADD) for quick high-quality image generation.
How to use SDXL Turbo?
Access SDXL Turbo through its online website or by downloading the model weights and code from Hugging Face. It can also run on AUTOMATIC1111, ComfyUI, or Colab.
How does SDXL Turbo work?
SDXL Turbo utilizes Adversarial Diffusion Distillation (ADD), condensing a diffusion model into a smaller UNet model to efficiently create images from text inputs.
Where can I access the SDXL Turbo Online website?
The SDXL Turbo Online website is available at https://www.sdxlturbo.top
How can I download SDXL Turbo?
Download the model weights and code for SDXL Turbo from Hugging Face.
Who are the authors of SDXL Turbo?
SDXL Turbo is developed by a team 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 using Adversarial Diffusion Distillation (ADD), delivering single-step outputs with the advantages of GANs. It offers superior performance and inference speed.
How to get SDXL Turbo API?
Obtain the SDXL Turbo API via Stability AI's Clipdrop platform.
What are the applications of SDXL Turbo?
SDXL Turbo is versatile, applicable in content creation, e-commerce, design, advertising, education, UI/UX design, AI projects, AR/VR experiences, media production, and personalized image creation.
What are the limitations of SDXL Turbo?
Image resolution is limited to 512x512 pixels. Issues with text clarity and the accuracy of faces and people may occur. The autoencoding process introduces some loss.