Stable Diffusion 3

Stability AI's most advanced text-to-image model with new MM-DiT architecture, delivering major improvements in quality, prompt following, and typography.

Stable DiffusionStability AIImage GenerationText-to-ImageMultimodalOpen Source
Developer
Stability AI
Type
Text-to-Image Diffusion Model
License
Non-commercial Research

Overview

Stable Diffusion 3 (SD3), introduced by Stability AI in early 2025, is a state-of-the-art open-source text-to-image model. It represents a major architectural shift from previous versions, incorporating a new Multimodal Diffusion Transformer (MM-DiT) that utilizes both a text encoder and a vision encoder. This advancement results in significantly improved image quality, unparalleled prompt understanding, and a groundbreaking ability to generate coherent and correctly spelled text within images.

The first open model in the series, Stable Diffusion 3 Medium, is a 2 billion parameter model released on June 12, 2025.

Capabilities

SD3 offers a substantial leap in performance and quality for AI image generation:

  • Superior Prompt Following: The new architecture allows the model to better understand complex prompts involving multiple subjects, spatial relationships, and detailed descriptions.
  • High-Quality Typography: One of SD3's most celebrated features is its ability to generate images with accurate and well-formed text, a long-standing challenge for diffusion models.
  • Photorealism and Detail: The model produces images with a high level of detail, lighting, and photorealism.
  • Resource Efficiency: The medium-sized model is designed to run on consumer-grade GPUs, making it highly accessible to a wide audience of creators and developers.
  • Fine-tuning Flexibility: The model is highly capable of absorbing nuanced details from small datasets, making it excellent for customization and fine-tuning.

Technical Specifications

  • Model size: The first open release is the "Medium" version with 2 billion parameters. Other versions ranging from 800M to 8B parameters are also in development.
  • Architecture: Multimodal Diffusion Transformer (MM-DiT). Unlike previous versions, this architecture uses two separate sets of weights for processing text and image representations, which improves overall conceptual understanding.
  • Text Encoders: It uses three different text encoders (two CLIP models and a T5 model) to encode text representations.

Use Cases

  • Creative Arts & Design: Generating high-quality, artistic, and photorealistic images for artists, designers, and advertisers.
  • Marketing & Advertising: Creating compelling ad creatives with embedded text and slogans.
  • Gaming & Entertainment: Designing concept art, textures, and assets for video games and other media.
  • Prototyping: Quickly visualizing ideas and concepts for product design and architecture.

Limitations

  • Non-Commercial License: The initial open release is for non-commercial and research use only, limiting its immediate business applications without a separate license.
  • Safety Measures: The model includes numerous safeguards to prevent the generation of harmful or inappropriate content, which can sometimes be overly restrictive.

Pricing & Access

  • Open Source (Non-commercial): The Stable Diffusion 3 Medium weights are free to download from Hugging Face for research and personal projects.
  • API Access: Available on the Stability AI Developer Platform with pay-per-use pricing.
  • Commercial License: A commercial license must be obtained from Stability AI for any commercial use of the model.

Ecosystem & Tools

  • Stability AI Platform: The official platform for API access and managing commercial licenses.
  • Hugging Face: The main hub for downloading the open model weights.
  • Community Tools: A vast ecosystem of tools like ComfyUI and Automatic1111 support SD3 for local and customized image generation.

Community & Resources

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