Stable Diffusion 3.5 Image Generation
Bring your ideas to life with Stable Diffusion 3.5. Explore cutting-edge AI image generation with our SD 3.5 Medium, Large, and Large Turbo models, designed to cater to every creative need, from hobbyists to professionals.
Select Your Ideal Stable Diffusion 3.5 Model
Choose the Best SD 3.5 Model for Your Workflow
Why Choose Stable Diffusion 3.5
Experience the revolutionary MMDiT architecture powering SD 3.5 models
Advanced SD 3.5 Architecture
Powered by MMDiT (Multimodal Diffusion Transformer) technology with QK-normalization for superior stability and performance in Stable Diffusion 3.5.
Multiple Text Encoders in SD 3.5
Stable Diffusion 3.5 utilizes OpenCLIP-ViT/G, CLIP-ViT/L, and T5-xxl for unmatched text understanding and prompt adherence.
Flexible Integration Options
SD 3.5 supports multiple platforms including ComfyUI, Diffusers, and direct API access for seamless implementation.
Resource Efficient Models
Stable Diffusion 3.5 is optimized for various hardware configurations with model quantization and CPU offloading options.
Enhanced Training Methods
SD 3.5 models are trained on diverse, high-quality datasets for superior image generation and artistic understanding.
Built-in Safety Features
Stable Diffusion 3.5 implements comprehensive safety measures for responsible AI deployment.
SD 3.5 Model Transform Your Creative Process
Discover how Stable Diffusion 3.5 can revolutionize your workflow across different industries and use cases.
Digital Artists & Design Teams
Generate concept art, illustrations and streamline your design process with rapid prototyping tools.
Content Creators & Developers
Create engaging visual content and integrate powerful image generation capabilities into your applications.
Stable Diffusion 3.5 Model Comparison
Find the perfect model for your needs with our detailed comparison.
Stable Diffusion 3.5 Models Technical Excellence
Discover the advanced capabilities of SD 3.5 models
MMDiT Architecture
Advanced Multimodal Diffusion Transformer architecture with improved performance in:
- Image quality
- Typography rendering
- Complex prompt understanding
- Resource efficiency
Text Encoders
Triple encoder system for superior text understanding:
- OpenCLIP-ViT/G
- CLIP-ViT/L
- T5-xxl with extended context
Advanced Features
- QK normalization for training stability
- Adversarial Diffusion Distillation (Turbo)
- Extended context length support
- Optimized for various hardware configs
Easy Integration Stable Diffusion 3.5 Models
Multiple ways to use SD 3.5 models
ComfyUI
Node-based interface for visual workflow creation
🧨 Diffusers
Direct Python integration with full control
API Access
Stability AI API for scalable deployment
Online Spaces
Try directly in your browser via Hugging Face
Latest Technology
Experience the cutting-edge improvements in Stable Diffusion 3.5
Enhanced Architecture
Leveraging the improved MMDiT-X architecture for better image generation quality and consistency.
Customizable Base
Built with Query-Key Normalization for easier fine-tuning and development flexibility.
Diverse Outputs
Creates representative images of the world without extensive prompting requirements.
Professional Quality
Market-leading prompt adherence and image quality that rivals much larger models.
SD 3.5 Applications
Explore what you can create with Stable Diffusion 3.5
Digital Art with SD 3.5
Create stunning artwork using Stable Diffusion 3.5's advanced capabilities.
Design Prototyping
Rapid concept visualization with SD 3.5 Large Turbo.
Professional Content Creation
Generate high-quality visuals with SD 3.5 Large.
Licensing
Understanding the Stability AI Community License
Stable Diffusion 3.5 FAQs
Find answers to common questions about SD 3.5 models and their usage
What is the difference between Stable Diffusion 3.5 Medium, Large, and Large Turbo?
SD 3.5 Medium (2.5B parameters) is optimized for consumer hardware, SD 3.5 Large (8B parameters) offers the highest quality for professional use, and SD 3.5 Large Turbo provides rapid generation in just 4 steps while maintaining high quality.
What hardware is required to run Stable Diffusion 3.5?
Hardware requirements vary by model. SD 3.5 Medium runs on consumer GPUs, SD 3.5 Large needs more powerful hardware, and SD 3.5 Large Turbo is optimized for efficient resource usage. All models support CPU offloading and model quantization for better performance.
Can I use Stable Diffusion 3.5 for commercial projects?
Yes, Stable Diffusion 3.5 can be used commercially under the Stability AI Community License for organizations with annual revenue under $1M. For larger organizations, an Enterprise License is required.
What image resolutions does SD 3.5 support?
SD 3.5 Medium supports 0.25 to 2 megapixel resolution, while SD 3.5 Large and Large Turbo models support 1 megapixel resolution with optimal quality.
How does SD 3.5 improve upon previous versions?
Stable Diffusion 3.5 features improved MMDiT architecture, better text understanding through multiple encoders, enhanced image quality, superior typography rendering, and better prompt adherence.
What integration options are available for SD 3.5?
You can integrate Stable Diffusion 3.5 through ComfyUI, Diffusers library, direct API access, or use it via Hugging Face Spaces. Each model supports various implementation methods.
When will SD 3.5 Medium be released?
Stable Diffusion 3.5 Medium is scheduled for release on October 29th, while SD 3.5 Large and Large Turbo are already available for use.
How does model quantization work in SD 3.5?
All SD 3.5 models support quantization through the Diffusers library, allowing you to reduce VRAM usage while maintaining good performance. This is particularly useful for running on consumer hardware.
What safety measures are implemented in Stable Diffusion 3.5?
SD 3.5 includes comprehensive safety measures, filtered training data, and content guidelines to ensure responsible AI usage while maintaining creative freedom.
Can I fine-tune SD 3.5 models?
Yes, Stable Diffusion 3.5 models support fine-tuning. The Large model, in particular, is designed with customization in mind through its QK normalization feature.
What is the context length for text prompts in SD 3.5?
Stable Diffusion 3.5 supports varying context lengths: 77 tokens for CLIP encoders and up to 256 tokens for T5 encoder, allowing for detailed prompt descriptions.
How does SD 3.5 Large Turbo achieve faster generation?
SD 3.5 Large Turbo uses Adversarial Diffusion Distillation (ADD) technology to generate high-quality images in just 4 steps, compared to the standard 20+ steps in regular models.
Are ControlNets available for Stable Diffusion 3.5?
ControlNets for SD 3.5 will be released shortly after the Medium model launch, providing advanced control features for professional use cases.
What types of images can I generate with SD 3.5?
Stable Diffusion 3.5 excels at creating diverse artistic styles, photorealistic images, complex scenes, and detailed illustrations, with improved capability in handling text and typography.
How do I report issues or provide feedback about SD 3.5?
You can report technical issues, safety concerns, or provide feedback through Stability AI's official channels or their community platforms.
Start Creating Today
Join thousands of creators using Stable Diffusion 3.5 to bring their ideas to life.