sd-turbo EU AI Act Compliance Profile

SD-Turbo Model Card

SD-Turbo is a fast generative text-to-image model that can synthesize photorealistic images from a text prompt in a single network evaluation. We release SD-Turbo as a research artifact, and to study small, distilled text-to-image models. For increased quality and prompt understanding, we recommend SDXL-Turbo.

Please note: For commercial use, please refer to https://stability.ai/license.

Model Details

Model Description

SD-Turbo is a distilled version of Stable Diffusion 2.1, trained for real-time synthesis. SD-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: Stable Diffusion 2.1

Model Sources

For research purposes, we recommend our generative-models Github repository (https://github.com/Stability-AI/generative-models), which implements the most popular diffusion frameworks (both training and inference).

• Repository: https://github.com/Stability-AI/generative-models
• Paper: https://stability.ai/research/adversarial-diffusion-distillation
• Demo [for the bigger SDXL-Turbo]: http://clipdrop.co/stable-diffusion-turbo

Evaluation

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