SDXL Turbo Model Card SDXL Turbo is a fast generative text to image model that can synthesize photorealistic images from a text prompt in a single network evaluation. A real time demo is available here: http://clipdrop.co/stable diffusion turbo Please note: For commercial use, please refer to https://stability.ai/license. Model Details Model Description 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) (see the technical report), 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. Developed by: Stability AI Funded by: Stability AI Model type: Generative text to image model Finetuned from model: SDXL 1.0 Base Model Sources For research purposes, we recommend our generative models Github repository (https://github.com/Stability AI/generative models), which imp…
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