SDXL Turbo

SDXL Turbo is an advanced generative text-to-image model based on Adversarial Diffusion Distillation (ADD) that quickly generates high-quality images.

To use SDXL Turbo, you can access the SDXL Turbo Online website or download the model weights and code from Hugging Face. There are also options to run SDXL Turbo with AUTOMATIC1111, ComfyUI, or on Colab.

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

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.

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

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

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.

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.

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

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.

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.