Stable Diffusion 3.5 Large
Stable Diffusion 3.5 Large
Version: 1
Stability AILast updated August 2025

Models from Microsoft, Partners, and Community

Models from Microsoft, Partners, and Community models are a select portfolio of curated models both general-purpose and niche models across diverse scenarios by developed by Microsoft teams, partners, and community contributors
  • Managed by Microsoft: Purchase and manage models directly through Azure with a single license, world class support and enterprise grade Azure infrastructure
  • Validated by providers: Each model is validated and maintained by its respective provider, with Azure offering integration and deployment guidance.
  • Innovation and agility: Combines Microsoft research models with rapid, community-driven advancements.
  • Seamless Azure integration: Standard Azure AI Foundry experience, with support managed by the model provider.
  • Flexible deployment: Deployable as Managed Compute or Serverless API, based on provider preference.
Learn more about models from Microsoft, Partners, and Community

Key capabilities

About this model

Stable Diffusion 3.5 Large produces diverse outputs, creating images that are representative of the world, with different skin tones and features, all without requiring extensive prompting. It also offers unmatched versatility, generating visuals in virtually any style, from 3D and photography to painting and line art. Our analysis shows that Stable Diffusion 3.5 Large leads the market in prompt adherence and rivals significantly larger models in image quality.

Key model capabilities

Stable Diffusion 3.5 Large produces diverse outputs, creating images that are representative of the world, with different skin tones and features, all without requiring extensive prompting. It also offers unmatched versatility, generating visuals in virtually any style, from 3D and photography to painting and line art. Our analysis shows that Stable Diffusion 3.5 Large leads the market in prompt adherence and rivals significantly larger models in image quality.

Use cases

See Responsible AI for additional considerations for responsible use.

Key use cases

Advertising and marketing
Media and entertainment,
Gaming and metaverse
Education and training
Retail
Publishing

Out of scope use cases

The model was not trained to be factual or true representations of people or events. As such, using the model to generate such content is out-of-scope of the abilities of this model.

Pricing

Pricing is based on a number of factors, including deployment type and tokens used. See pricing details here.

Technical specs

At 8.1 billion parameters, with superior quality and prompt adherence, this base model is the most powerful in the Stable Diffusion family. This model is ideal for professional use cases at 1 megapixel resolution.

Training cut-off date

The provider has not supplied this information.

Training time

The provider has not supplied this information.

Input formats

The provider has not supplied this information.

Output formats

The provider has not supplied this information.

Supported languages

The provider has not supplied this information.

Sample JSON response

The provider has not supplied this information.

Model architecture

The provider has not supplied this information.

Long context

The provider has not supplied this information.

Optimizing model performance

The provider has not supplied this information.

Additional assets

The provider has not supplied this information.

Training disclosure

Training, testing and validation

This model was trained on a wide variety of data, including synthetic data and filtered publicly available data.

Distribution

Distribution channels

The provider has not supplied this information.

More information

We believe in safe, responsible AI practices and take deliberate measures to ensure Integrity starts at the early stages of development. This means we have taken and continue to take reasonable steps to prevent the misuse of Stable Diffusion 3.5 by bad actors. For more information about our approach to Safety please visit our Stable Safety page.

Responsible AI considerations

Safety techniques

We believe in safe, responsible AI practices and take deliberate measures to ensure Integrity starts at the early stages of development. This means we have taken and continue to take reasonable steps to prevent the misuse of Stable Diffusion 3.5 by bad actors. For more information about our approach to Safety please visit our Stable Safety page.

Safety evaluations

The provider has not supplied this information.

Known limitations

The model was not trained to be factual or true representations of people or events. As such, using the model to generate such content is out-of-scope of the abilities of this model.

Acceptable use

Acceptable use policy

The provider has not supplied this information.

Quality and performance evaluations

Source: Stability AI Our analysis shows that Stable Diffusion 3.5 Large leads the market in prompt adherence and rivals significantly larger models in image quality.

Benchmarking methodology

Source: Stability AI The provider has not supplied this information.

Public data summary

Source: Stability AI The provider has not supplied this information.
Model Specifications
LicenseCustom
Last UpdatedAugust 2025
Input TypeText,Image
Output TypeImage
ProviderStability AI
Languages1 Language