SD-Turbo
| Property | Value |
|---|---|
| Developer | Stability AI |
| Model Type | Text-to-Image Generation |
| Base Model | Stable Diffusion 2.1 |
| License | Commercial Use Licensed |
| Research Paper | ADD Technical Report |
What is sd-turbo?
SD-Turbo represents a breakthrough in real-time image generation, capable of synthesizing high-quality images from text prompts in just a single network evaluation. Developed by Stability AI, it's a distilled version of Stable Diffusion 2.1 that employs Adversarial Diffusion Distillation (ADD) to achieve remarkable speed without severely compromising image quality.
Implementation Details
The model is built on a novel training approach that combines score distillation with adversarial loss, enabling high-fidelity image generation in just 1-4 steps. It's optimized for 512x512 pixel images and requires minimal computational resources compared to traditional multi-step diffusion models.
- Utilizes Adversarial Diffusion Distillation (ADD) for training
- Optimized for single-step inference
- No guidance scale or negative prompt required
- Supports both text-to-image and image-to-image generation
Core Capabilities
- Real-time image generation from text descriptions
- High-quality image synthesis in a single step
- Image-to-image transformation capabilities
- Efficient resource utilization
- Commercial and research applications support
Frequently Asked Questions
Q: What makes this model unique?
SD-Turbo's ability to generate high-quality images in a single step sets it apart from traditional diffusion models that require multiple steps. This makes it particularly suitable for real-time applications while maintaining reasonable image quality.
Q: What are the recommended use cases?
The model is ideal for research on real-time generative models, educational tools, artistic processes, and commercial applications requiring quick image generation. However, for highest quality results, Stability AI recommends using SDXL-Turbo.
