Frequently Asked Questions
What makes SDXL Turbo unique?
It combines speed and quality through its use of Adversarial Diffusion Distillation (ADD), allowing for single-step image generation that rivals GAN-based systems in performance.
How does SDXL Turbo work?
The model uses ADD to distill a full diffusion model into a more compact UNet architecture, enabling efficient synthesis of images directly from textual descriptions in one step.
Where can I access SDXL Turbo online?
You can try SDXL Turbo live at its official website: https://www.sdxlturbo.top
Can I download SDXL Turbo for offline use?
Absolutely. Model weights and training scripts are available for download on Hugging Face for developers who want to run it locally or integrate it into their own workflows.
Who developed SDXL Turbo?
SDXL Turbo was created by a team of researchers including Joonho Kim, Jaehoon Lee, Seonghyeon Park, Taesung Kim, Minsu Cho, Sungjin Kim, and Junseok Lee.
Is there an API available for SDXL Turbo?
Yes. You can access SDXL Turbo’s capabilities through Stability AI’s image editing suite, Clipdrop, which offers API integrations for developers.
What are the limitations of SDXL Turbo?
Currently, all outputs are fixed at 512x512 pixels. Additionally, text legibility and facial details may not always be fully accurate due to autoencoder compression effects.