SDXL Turbo
SDXL Turbo is Stability AI's real-time image synthesis model, designed for single-step or very-low-step generation. It uses Adversarial Diffusion Distillation (ADD), a technique that trains the model to produce clean images in one step by adversarially distilling a teacher SDXL model. This enables near-instantaneous generation, making it the fastest SDXL-family model for interactive applications.
The trade-off with SDXL Turbo is that single-step outputs are best suited to lower resolutions and more abstract or illustrative styles rather than fine photorealistic detail. It fits squarely in applications requiring live visual feedback — sketch-to-image tools, drawing assistants, and interactive creative experiences — where latency is more critical than maximum image fidelity.
Key Features
Single-step generation via Adversarial Diffusion Distillation
Near real-time latency for interactive sketch-to-image workflows
Supports 512×512 and similar resolutions optimally
Coherent outputs even at very low step counts
Lightweight inference footprint compared to full SDXL
Suitable for live image preview alongside user drawing or prompting
Ideal Use Cases
Live sketch-to-image interfaces and drawing assistants
Real-time creative exploration tools in web or desktop apps
Game asset prototyping with instant visual feedback
Interactive AI art installations
Developer testing and pipeline debugging with rapid iteration
Example Prompts for SDXL Turbo
Technical Specifications
| Provider | Stability AI |
| Category | Image |
| Modality | Text -> Image |
Frequently Asked Questions
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