Adversarial Diffusion Distillation (SDXL Turbo)

Score distillation + adversarial loss: Combines score-distillation from a teacher diffusion model with an adversarial loss to maintain image fidelity in the low-step regime.

1-4 step generation: Produces usable images in a single step and SoTA-quality images in four, compared to 25-50 steps for typical SDXL sampling.

Matches multi-step SoTA: Achieves image quality comparable to state-of-the-art diffusion baselines at four steps, dramatically cutting inference cost.

Real-time generation: Enables SDXL-quality images at real-time frame rates on consumer GPUs, unlocking interactive creative tooling that was previously impractical.