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Sdxl turbo

Model Overview

SDXL-Turbo is a fast generative text-to-image model that can synthesize photorealistic images from a text prompt in a single network evaluation.

SDXL-Turbo is a distilled version of SDXL 1.0, trained for real-time synthesis. SDXL-Turbo is based on a novel training method called Adversarial Diffusion Distillation (ADD), which allows sampling large-scale foundational image diffusion models in 1 to 4 steps at high image quality. This approach uses score distillation to leverage large-scale off-the-shelf image diffusion models as a teacher signal and combines this with an adversarial loss to ensure high image fidelity even in the low-step regime of one or two sampling steps.

QPC Configurations

Model Name Cores Generated URL Download
sdxl-turbo 16 https://dc00tk1pxen80.cloudfront.net/SDK1.20.4/sdxl_turbo/sdxl_turbo_qpc.tar.gz Download