Stable Diffusion 3.5 Large Turbo

Experience unprecedented speed with our distilled 8B parameter model. Generate high-quality images in just 4 steps using revolutionary Adversarial Diffusion Distillation technology.

Try Stable Diffusion 3.5 Large Turbo Online

Experience ultra-fast generation directly in your browser

Why Choose Stable Diffusion 3.5 Large Turbo

Ultra-fast generation without compromising quality

Lightning Speed

Generate high-quality images in just 4 steps with ADD technology, drastically reducing generation time while maintaining quality.

Quality Preservation

Leverages the full power of the 8B parameter architecture while achieving remarkable speed through sophisticated distillation.

Resource Efficiency

Optimized inference process reduces computational requirements while delivering professional-grade results.

Stable Diffusion 3.5 Large Turbo Advanced Capabilities

Explore the cutting-edge features powered by ADD technology

Adversarial Diffusion Distillation

Revolutionary distillation technique that maintains model knowledge while dramatically reducing inference steps.

Rapid Prototyping

Perfect for iterative design processes with near-instant feedback and consistent quality.

Enterprise Scale

Optimized for high-throughput production environments with efficient resource utilization.

Stable Diffusion 3.5 Large Turbo Technical Specifications

Understanding the power of SD 3.5 Large Turbo

Model Architecture

  • 8B parameters (distilled)
  • 4-step inference process
  • ADD technology integration
  • Multiple text encoders:
    • OpenCLIP-ViT/G
    • CLIP-ViT/L
    • T5-xxl

Performance

  • 1 megapixel resolution
  • 4-step generation
  • High prompt adherence
  • Optimized memory usage

Stable Diffusion 3.5 Large Turbo Ideal Applications

Perfect for speed-critical workflows

Rapid Prototyping

  • Quick concept visualization
  • Iterative design process
  • Real-time adjustments
  • Client presentations
  • Instant variations

Content Production

  • Social media content
  • Marketing materials
  • Thumbnail generation
  • Batch processing
  • Real-time editing

Interactive Applications

  • Live generation tools
  • Interactive installations
  • Mobile applications
  • Web integration
  • Real-time previews

Stable Diffusion 3.5 Large Turbo Performance Optimization

Maximizing the potential of 4-step generation

Speed Optimization

  • Efficient batch processing
  • Pipeline optimization
  • Parallel execution
  • Memory management
  • Cache optimization

Quality Assurance

  • Optimal guidance scale
  • Prompt optimization
  • Consistent results
  • Quality monitoring
  • Error handling

Resource Management

  • VRAM optimization
  • Load balancing
  • Throughput scaling
  • Queue management
  • Resource allocation

Stable Diffusion 3.5 Large Turbo Integration Guide

Implement SD 3.5 Large Turbo in your projects

Python Implementation


import torch
from diffusers import StableDiffusion3Pipeline

pipe = StableDiffusion3Pipeline.from_pretrained(
    "stabilityai/stable-diffusion-3.5-large-turbo",
    torch_dtype=torch.bfloat16
)
pipe = pipe.to("cuda")

image = pipe(
    "your prompt here",
    num_inference_steps=4,
    guidance_scale=0.0
).images[0]

Quick Start Guide

  1. Environment Setup

    Prepare your development environment with GPU support.

  2. Model Installation

    Download and configure the Turbo model.

  3. Pipeline Setup

    Configure for optimal 4-step generation.

  4. Integration Testing

    Verify speed and quality benchmarks.

Stable Diffusion 3.5 Large Turbo Performance Benchmarks

Speed and quality metrics across different configurations

Generation Speed (4 Steps)

GPU Model Time (sec) Images/sec
RTX 4090 0.4s 2.5
RTX 4080 0.5s 2.0
RTX 3090 0.6s 1.7

Stable Diffusion 3.5 Large Turbo FAQs

Common questions about SD 3.5 Large Turbo

How does SD 3.5 Large Turbo achieve such fast generation?

The model uses Adversarial Diffusion Distillation (ADD) technology, allowing high-quality generation in just 4 steps while maintaining the knowledge and capabilities of the full 8B parameter model.

What's the quality difference compared to standard SD 3.5 Large?

While optimized for speed, SD 3.5 Large Turbo maintains remarkable image quality and prompt adherence, suitable for most professional applications where rapid generation is priority.

What hardware is recommended for optimal performance?

Any modern GPU with 12GB+ VRAM will provide excellent performance. The model can run on lower VRAM configurations with appropriate optimization techniques.

Can I use SD 3.5 Large Turbo for commercial projects?

Yes, under the Stability AI Community License, it's free for commercial use by organizations with annual revenue under $1M. Enterprise licensing is required for larger organizations.

How does batch processing work with 4-step generation?

The model efficiently handles batch processing, making it ideal for high-throughput applications. Batch size can be optimized based on available VRAM and performance requirements.

What's the best way to integrate SD 3.5 Large Turbo into existing pipelines?

Integration options include Hugging Face Diffusers, ComfyUI, direct API access, or self-hosting. The 4-step process makes it particularly suitable for real-time applications.

How does guidance scale work with 4-step generation?

For optimal results with SD 3.5 Large Turbo, guidance scale of 0.0 is recommended, which helps maintain generation speed while ensuring quality output.

Can I fine-tune SD 3.5 Large Turbo?

While fine-tuning is possible, it requires careful consideration due to the distilled nature of the model. Consult the documentation for specific fine-tuning guidelines.

Stable Diffusion 3.5 Large Turbo Community & Resources

Join the SD 3.5 Large Turbo community

Developer Resources

  • Technical documentation
  • API integration guides
  • Performance tuning tips
  • Example applications

Community Support

  • Discord community
  • GitHub discussions
  • User forums
  • Issue tracking

Learning Resources

  • Getting started guides
  • Video tutorials
  • Best practices
  • Sample projects

Stable Diffusion 3.5 Large Turbo Technical Deep Dive

Understanding the technology behind 4-step generation

ADD Technology

  • Adversarial Training
    • Optimized knowledge distillation
    • Enhanced feature preservation
    • Efficient latent space mapping
    • Accelerated convergence
  • 4-Step Process
    • Optimized noise scheduling
    • Refined sampling strategy
    • Enhanced denoising
    • Quality preservation

Pipeline Optimizations

  • Memory Management
    • Efficient resource allocation
    • Optimized cache usage
    • Reduced VRAM footprint
    • Stream processing
  • Performance Features
    • Parallel processing
    • Batch optimization
    • Hardware acceleration
    • Pipeline scheduling

Stable Diffusion 3.5 Large Turbo Best Practices Guide

Optimize your workflow with SD 3.5 Large Turbo

Prompt Engineering

  • Clear, concise descriptions
  • Style-focused keywords
  • Composition guidance
  • Aesthetic direction
  • Technical parameters

Batch Processing

  • Optimal batch sizes
  • Queue management
  • Resource allocation
  • Error handling
  • Performance monitoring

Production Pipeline

  • Automated workflows
  • Quality assurance
  • Version control
  • Logging systems
  • Backup strategies

Stable Diffusion 3.5 Large Turbo Experience Ultra-Fast Generation

Try SD 3.5 Large Turbo today and transform your workflow with 4-step generation