SDXL Turbo is a cutting-edge text-to-image generation model utilizing Adversarial Diffusion Distillation (ADD) to swiftly produce high-quality images.
SDXL Turbo is developed by Stability AI.
Find SDXL Turbo on Github: https://github.com/Stability-AI/generative-models
SDXL Turbo is an advanced generative text-to-image model leveraging Adversarial Diffusion Distillation (ADD) for quick high-quality image generation.
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.
SDXL Turbo utilizes Adversarial Diffusion Distillation (ADD), condensing a diffusion model into a smaller UNet model to efficiently create images from text inputs.
The SDXL Turbo Online website is available at https://www.sdxlturbo.top
Download the model weights and code for SDXL Turbo from Hugging Face.
SDXL Turbo is developed by a team including Joonho Kim, Jaehoon Lee, Seonghyeon Park, Taesung Kim, Minsu Cho, Sungjin Kim, and Junseok Lee.
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.
Obtain the SDXL Turbo API via Stability AI's Clipdrop platform.
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.
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.