In the latest breakthrough in the world of AI-driven image generation, the research team behind SDXL Turbo introduces their newest accomplishment: a revolutionary text-to-image technology that represents a significant advancement in image synthesis. SDXL Turbo utilizes an innovative distillation technique called Adversarial Diffusion Distillation (ADD), which allows a significant reduction in the steps required for image generation – from the previous 50 steps to just one.
This technological breakthrough, detailed in a recently published research paper, combines elements of adversarial training with score distillation to achieve unprecedented image quality in real-time. SDXL Turbo is distinguished by its ability to generate images with high sampling fidelity, making it a promising tool for researchers and enthusiasts in this field.
The software is currently available on the Hugging Face platform, albeit under a non-commercial research license that permits only personal and non-commercial applications. Interested individuals can test the technology on Stability AI’s image editing platform Clipdrop, which offers a beta demonstration of real-time text-to-image generation.
In comparative studies with other leading models such as StyleGAN-T++, OpenMUSE, and IF-XL, SDXL Turbo performed surprisingly well, surpassing the quality of image outputs with fewer steps in blind tests. This performance, combined with an impressive inference speed – generating a 512×512 image in just 207ms – positions SDXL Turbo as a groundbreaking advancement in the world of artificial intelligence and image generation.
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