Sana Sprint: Revolutionary One-Step Image Generation

Experience NVIDIA's groundbreaking one-step diffusion model that generates stunning 1024px images in just 0.1 seconds. Sana Sprint achieves state-of-the-art performance with a single inference step, making real-time image generation possible on consumer hardware.

Images in 0.1 Second (H100)
10x Faster Than Competitors
7.59 FID with Just 1 Step
Sana Sprint AI-generated image showcasing ultra-fast generation

Technical Specifications

Model Architecture

Continuous-Time Consistency Distillation (1.6B Parameters)

Built with a groundbreaking training-free approach for continuous-time consistency distillation, eliminating the need for expensive retraining

Input Types

Text PromptsStep Selection (1-4)Resolution ControlsControlNet InputsAspect Ratio Selection

Supported input formats for image generation

Output Types

High-Quality 1024px ImagesControllable Generation ResultsReal-Time Visual OutputsMultiple Style OptionsControlNet-Guided Images

Generated output formats and capabilities

Generation Speed

Ultra-Fast (0.1s on H100, 0.31s on RTX 4090)

10x faster than Flux Schnell with better quality

Special Capabilities

  • One-step generation with state-of-the-art quality (7.59 FID)
  • Step-adaptive model for quality control (1-4 steps)
  • Real-time ControlNet support (0.25s on H100)
  • Training-free continuous-time consistency distillation
  • Outperforms FLUX-schnell while being 10x faster
  • Minimal VRAM requirements for consumer hardware
  • Ideal for real-time interactive applications
  • Exceptional 0.74 GenEval score in just 1 step
  • Consistent output quality across different prompt types
  • Compatible with standard diffusers pipeline

Advanced features and capabilities

Model Examples

One-Step Generation
ControlNet Integration
Mobile Deployment

Frequently Asked Questions

Ready to Experience Sub-Second Image Generation?

Start creating high-quality images in just 0.1 seconds with Sana Sprint and transform your creative workflow with real-time AI.