updated at: December 2023
Generate high-quality images in seconds.
SDXL Turbo is based on a novel distillation technique called Adversarial Diffusion Distillation (ADD), which can quickly generate high-quality images.
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Additional Information
Frequently Asked Questions
What is SDXL Turbo?
SDXL Turbo is founded on a groundbreaking distillation technique known as Adversarial Diffusion Distillation (ADD), designed for the rapid generation of high-quality images.
How does SDXL Turbo operate?
SDXL Turbo utilizes Adversarial Diffusion Distillation (ADD), wherein a substantial diffusion model undergoes distillation into a more compact UNet model. This refined UNet model efficiently synthesizes images from text embeddings in a single forward pass. The synergy of adversarial training and score distillation within ADD ensures the model''s capacity for high-fidelity image generation.
Where can I find the SDXL Turbo Online website?
You can access the SDXL Turbo platform at https://www.sdxlturbo.top.
How can I download SDXL Turbo?
The model weights and code for SDXL Turbo are downloadable from Hugging Face. Currently available under a non-commercial research license, these resources permit personal and non-commercial use.
Who are the authors of SDXL Turbo?
SDXL Turbo is credited to a team of authors, including Joonho Kim, Jaehoon Lee, Seonghyeon Park, Taesung Kim, Minsu Cho, Sungjin Kim, and Junseok Lee.
What are some key features of SDXL Turbo?
SDXL Turbo excels in text-to-image synthesis through Adversarial Diffusion Distillation (ADD), offering single-step outputs with GAN-like advantages. In performance tests, it outperforms competitors with superior results and reduced computational demands. Notably, it surpasses a 4-step LCM-XL configuration with one step and a 50-step SDXL setup with only 4 steps. The model prioritizes inference speed, generating a 512x512 image in 207ms, showcasing efficiency in real-world applications.
How can I obtain the SDXL Turbo API?
The SDXL Turbo API is accessible on Stability AI''s image editing platform, Clipdrop.
What are the applications of SDXL Turbo?
SDXL Turbo, with its potent text-to-image synthesis capabilities, finds applications across various industries. It excels in content creation, product listing in e-commerce, ideation for designers and artists, and provides visuals for advertising, marketing, gaming, education, UI/UX design, AI applications, AR/VR experiences, media production, and personalized image creation.
What are the limitations of SDXL Turbo?
Generated images are restricted to a fixed resolution of 512x512 pixels, and while of high quality, perfect photorealism is not achieved. Challenges include rendering legible text and generating faces and people with optimal fidelity. The autoencoding aspect introduces a level of loss, contributing to inherent limitations in the current version of SDXL Turbo.
