Stable Diffusion 3.5 Large
Stable Diffusion 3.5 Large is the most advanced open-source text-to-image model developed by Stability AI, featuring 8 billion parameters built on the innovative Multimodal Diffusion Transformer (MMDiT) architecture.
Key Highlights
8 Billion Parameter MMDiT Architecture
Provides much higher image quality compared to previous SD versions with Multimodal Diffusion Transformer architecture.
Advanced Text Rendering
Addresses the biggest weakness of previous models with the ability to render readable and accurate text in images.
Multi-Aspect Ratio Support
Offers flexibility to generate high-quality images in various aspect ratios including square, landscape, and portrait.
Commercial Use with Community License
Free commercial use for projects with annual revenue under 1 million dollars under Stability AI community license.
About
Stable Diffusion 3.5 is the latest open-source text-to-image model family developed by Stability AI, representing the cutting edge of accessible image generation technology available to the public. It offers three distinct variants: SD 3.5 Large (8 billion parameters), SD 3.5 Large Turbo, and SD 3.5 Medium (2.5 billion parameters), each providing different performance and speed trade-offs for diverse use cases and hardware configurations. The model uses the MMDiT (Multimodal Diffusion Transformer) architecture to achieve significant advances in text comprehension and visual quality. Working with three separate text encoders (CLIP ViT-L, OpenCLIP ViT-bigG, and T5-XXL), it maximizes prompt understanding capacity for complex and nuanced descriptions.
SD 3.5 is notably superior to previous versions in text rendering, complex multi-element compositions, and photorealistic image generation across diverse subjects. In-image text generation was the weakest point of previous Stable Diffusion versions, and SD 3.5 has largely resolved this limitation, enabling accurate rendering of signs, logos, and written content within generated images. Achieving strong results on GenEval and T2I-CompBench benchmarks, the model delivers consistent quality in both artistic and photorealistic image generation. It can produce images up to 1 megapixel resolution and supports various aspect ratios for maximum creative flexibility in different media formats.
Being released as open-weight models provides a significant advantage for researchers and developers who value transparency, customization, and data sovereignty. Users can run the model on their own hardware and train customized LoRA models for specific applications. LoRA fine-tuning support enables creation of specialized image generation models for specific styles, characters, brands, or product lines with relatively small training datasets. ControlNet integration adds additional control mechanisms such as pose guidance, edge maps, depth information, and segmentation masks for precise compositional control. IP-Adapter support enables style transfer from reference images for consistent visual branding.
The model is fully compatible with popular interfaces such as ComfyUI, AUTOMATIC1111, and InvokeAI, integrating seamlessly into existing creative workflows without disruption. Backward compatibility with SDXL LoRAs preserves existing model collections and community resources. The Medium variant runs efficiently on consumer GPUs with 8GB+ VRAM, providing accessibility to a broad user base without requiring expensive hardware. The Turbo variant produces high-quality images in fewer diffusion steps, ideal for speed-focused workflows and interactive applications where real-time feedback is valuable.
Released under Stability AI's Community License, SD 3.5 is available for both research and commercial use with permissive terms. It integrates with Hugging Face through the Diffusers library and provides programmatic access via Python API for automated workflows. The model can be converted to ONNX and TensorRT formats for optimization across different hardware platforms, maximizing deployment flexibility for production environments and edge devices.
Used across a wide spectrum including digital art, graphic design, advertising visuals, concept art, product imagery, architectural visualization, fashion design, and creative content production, SD 3.5 stands as the most powerful model in the open-source image generation ecosystem. With active community support, a rich LoRA and ControlNet ecosystem, and continuous development, the model plays a pioneering role in democratizing AI-powered visual creativity for artists, designers, and developers worldwide, enabling professional-quality image generation without proprietary platform dependencies.
Use Cases
Professional Visual Design
Producing high-quality images with text content for advertising, marketing, and editorial content.
Concept Art and Illustration
Creating detailed concept art and illustration work for game, film, and book projects.
Product Image Generation
Creating product images in various backgrounds and angles for e-commerce and catalogs.
Customized Generation with LoRA
Customization for projects requiring brand identity, character consistency, or specific style via LoRA fine-tuning.
Pros & Cons
Pros
- 8.1 billion parameters — the most powerful open model in the SD series
- Improved prompt adherence and text generation with MMDiT architecture
- Available for research and commercial use under community license
- Flexible output sizes with multiple aspect ratio support
- Extensible with ControlNet and LoRA ecosystem
Cons
- High VRAM requirement — minimum 12GB GPU memory
- Falls behind FLUX.1 models in some benchmarks
- Long-term support uncertain due to Stability AI's financial situation
- Community license restricts some enterprise use cases
Technical Details
Parameters
8B
Architecture
MMDiT (Multimodal Diffusion Transformer)
Training Data
Proprietary dataset
License
Stability AI Community License
Features
- 8B parameters
- MMDiT architecture
- Multi-aspect ratio
- Text rendering
- High detail
- ControlNet support
- LoRA fine-tuning
- Commercial license
Benchmark Results
| Metric | Value | Compared To | Source |
|---|---|---|---|
| Arena ELO Score | 1059 | — | Artificial Analysis Image Arena |
| Max Resolution (Large) | 1024x1024 | — | Stability AI Official Blog |
| Parameters (Large) | 8B | Medium: 2.6B | Stability AI Official Blog |
| Inference Steps (Large Turbo) | 4 steps | Large: ~28-50 steps | Stability AI Official Blog |
Available Platforms
News & References
Frequently Asked Questions
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Quick Info
MMDiT (Multimodal Diffusion Transformer)