SDXL Turbo
PaidPresenting SDXL Turbo: Redefining Speed and Efficiency
About SDXL Turbo
SDXL Turbo is a real-time text-to-image generation model developed by Stability AI, based on a novel distillation technique called Adversarial Diffusion Distillation (ADD). It enables single-step image synthesis with high fidelity, reducing the required step count from 50 to just 1. On an A100 GPU, it generates a 512x512 image in 207ms. SDXL Turbo outperforms multi-step models like LCM-XL and SDXL in blind tests for prompt alignment and image quality. The model is released under a non-commercial research license and is available for testing on Stability AI's Clipdrop platform. For commercial applications, users must contact Stability AI.
Key Features
Pros & Cons
- State-of-the-art single-step generation with quality comparable to multi-step models
- Extremely fast inference (207ms for 512x512 image on A100)
- Openly available for non-commercial research and testing
- No artifacts or blurriness typical of other distillation methods
- Real-time generation demonstrated on Clipdrop
- Not currently intended for commercial use (requires contacting Stability AI)
- Released under a non-commercial research license only
- Requires powerful GPU hardware for optimal performance (e.g., A100)
- Limited to 512x512 image resolution as shown in benchmarks
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