SDXL Turbo is an advanced generative text-to-image model developed by Stability AI, utilizing a new distillation approach termed Adversarial Diffusion Distillation (ADD). This model excels in speed and efficiency, capable of producing high-quality, photorealistic images from textual prompts in just one network evaluation. Its key innovation reduces the image generation step count significantly, allowing for real-time synthesis and minimizing computational demands. Built upon the foundation of SDXL 1.0, SDXL Turbo not only outperforms other models in blind tests but also effectively reduces common image generation artifacts. Although primarily designed for 512x512 pixel outputs, the model itself holds immense potential across various industries, enhancing content creation, e-commerce, and more, with an emphasis on rapid image generation without sacrificing quality.
• high-quality visuals
• rapid image generation
• reduced computational requirements
• single-step outputs
• adversarial diffusion distillation (add)
• text-to-image synthesis
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), synthesizing images efficiently in a single forward pass.
The model weights and code for SDXL Turbo are available for download on Hugging Face.
SDXL Turbo excels in content creation, e-commerce, advertising, design, and more, rapidly generating high-quality visuals from text.
Generated images are restricted to 512x512 pixels, may struggle with rendering legible text, and faces may not be produced with optimal fidelity.
• Quickly generate high-quality images
• Lower computational requirements
• Avoidance of artifacts
• Real-time synthesis
There are currently no job postings for this AI tool.
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