Microsoft is excited to collaborate with Stability AI, one of the leaders in AI-powered visual generation to bring Stable Diffusion 3.5 Large, Stable Image Ultra, and Stable Image Core to the model catalog in Azure AI Foundry.
Stable Diffusion 3.5 Large
At 8.1 billion parameters, Stable Diffusion 3.5 is the most powerful model in the Stable Diffusion family. Our collaboration with Stability AI brings this sophisticated model to our catalog, introducing image-to-image capabilities to Azure AI Foundry for the first time. The model delivers exceptional text-to-image generation with superior quality and prompt adherence, making it ideal for professional use cases at 1 megapixel resolution.
Images above were created using Stable Diffusion 3.5 Large
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.
Images above were created using Stable Diffusion 3.5 Large
According to Stability AI, this model also offers unmatched versatility, generating visuals in virtually any style, from 3D and photography to painting and line art. And their analysis shows that Stable Diffusion 3.5 Large leads the market in prompt adherence and rivals significantly larger models in image quality (Stability AI analysis).
Images above were created using Stable Diffusion 3.5 Large
Stable Diffusion 3.5 Large can do both text-to-image and image-to-image generation. Image-to-image AI refers to a generative artificial intelligence technique that transforms one image into another, modifying aspects such as style, content, or context while preserving the original structure.
Applications of Image-to-Image models:
Style Transfer: photograph into a painting resembling a specific style like watercolor, pen and ink and others
Image Restoration: Enhancing or repairing images by removing noise, correcting colors, or filling in missing parts to improve clarity and quality.
While Stable Diffusion 3.5 Large is a highly capable AI model, it is not trained to generate factual representations of people or historical events. Users should avoid applications that require authenticity or real-world accuracy, as this model is optimized for creative and illustrative purposes rather than factual depictions.
Stable Image Ultra
Powered by the advanced capabilities of Stable Diffusion 3.5 Large, Stable Image Ultra sets a new standard in photorealism. Stable Image Ultra is ideal for product imagery in marketing and advertising. It also excels in typography, dynamic lighting, and vibrant color rendering.
Stable Image Core
Leveraging an enhanced version of SDXL, Stable Image Core, delivers exceptional speed and efficiency while maintaining the high-quality output synonymous with Stable Diffusion models.
Key Use Cases
Stability AI models are designed to support a wide range of industries, enabling professionals to generate professional grade visual media for various applications.
Media & Entertainment – Generate visuals for films, TV, and online content.
Gaming & Metaverse – Develop immersive game assets and virtual environments.
Education & Training – Produce educational illustrations and instructional visuals.
Retail & E-Commerce – Enhance product displays with photorealistic imagery.
Publishing – Support editorial content with unique AI-generated illustrations.
Responsible AI Considerations
According to Stability.ai, they believe in safe, responsible AI practices and they take deliberate measures to ensure Integrity starts at the early stages of development. This means Stability has taken and continues to take reasonable steps to prevent the misuse of Stability AI models by bad actors. For more details on Stability AI’s commitment to safe and ethical AI development, visit the Stable Safety. In Azure AI Foundry in the model catalog Azure AI Content Safety is enabled by default on the Stability AI model suite and it cannot be toggled off.
Why Azure AI Foundry for Stability AI?
Enhanced Security and data privacy: Azure places a strong emphasis on data privacy and security to protect customer data. Check out this article to learn more about data handling when you deploy models from the model catalog in Azure AI Foundry.
Provision an API Endpoint: Create your Stability AI endpoint in seconds.
Experiment: Try it out in the Azure AI Foundry playground or integrate it with popular LLM app development tools.
How to deploy Stability AI models in model catalog?
To get started with Azure AI Foundry and deploy your first model, follow these clear steps:
Familiarize yourself: If you're new to Azure AI Foundry, start by reviewing this documentation to understand the basics and set up your first project.
Access the model catalog: Open the model catalog in AI Foundry.
Find the model: Click the “View models” button on the MaaS announcement card.
Select the model: Open the Stability AI model from the list.
Deploy the model: Click on ‘Deploy’ and choose the managed compute option
Watch the Fireside Chat
For an executive perspective and deeper insights into Stability AI, watch the Fireside Chat with Stability AI CEO Prem Akkaraju.
Get Started with Stability AI
With their groundbreaking versatility, realism, and efficiency, Stability AI models are redefining how AI can assist in professional-grade visual media creation, empowering businesses and creatives to produce stunning imagery effortlessly.Start generating quality visuals by visiting the model catalog in Azure AI Foundry.
The image to image functionality is not working. According to the Stability API reference, there is a parameter 'mode' that should be set to 'image-to-image' so that both the prompt as well as the original image are used to influence the output image. However, this is not present in the code sample you reference. Another user has seen the same issue: https://techcommunity.microsoft.com/discussions/azure-ai-services/image-to-image-generation-using-stable-diffuson-3-5-large-model/4385020
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Stable Diffusion 3.5 Large
\n
At 8.1 billion parameters, Stable Diffusion 3.5 is the most powerful model in the Stable Diffusion family. Our collaboration with Stability AI brings this sophisticated model to our catalog, introducing image-to-image capabilities to Azure AI Foundry for the first time. The model delivers exceptional text-to-image generation with superior quality and prompt adherence, making it ideal for professional use cases at 1 megapixel resolution.
\n
\n\n
Images above were created using Stable Diffusion 3.5 Large
\n
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.
\n
\n\n
Images above were created using Stable Diffusion 3.5 Large
\n
According to Stability AI, this model also offers unmatched versatility, generating visuals in virtually any style, from 3D and photography to painting and line art. And their analysis shows that Stable Diffusion 3.5 Large leads the market in prompt adherence and rivals significantly larger models in image quality (Stability AI analysis).
\n
\n\n
Images above were created using Stable Diffusion 3.5 Large
\n
Stable Diffusion 3.5 Large can do both text-to-image and image-to-image generation. Image-to-image AI refers to a generative artificial intelligence technique that transforms one image into another, modifying aspects such as style, content, or context while preserving the original structure.
\n
Applications of Image-to-Image models:
\n
\n
Style Transfer: photograph into a painting resembling a specific style like watercolor, pen and ink and others
\n
\n
\n
Image Restoration: Enhancing or repairing images by removing noise, correcting colors, or filling in missing parts to improve clarity and quality.
\n
\n
While Stable Diffusion 3.5 Large is a highly capable AI model, it is not trained to generate factual representations of people or historical events. Users should avoid applications that require authenticity or real-world accuracy, as this model is optimized for creative and illustrative purposes rather than factual depictions.
\n
Stable Image Ultra
\n
Powered by the advanced capabilities of Stable Diffusion 3.5 Large, Stable Image Ultra sets a new standard in photorealism. Stable Image Ultra is ideal for product imagery in marketing and advertising. It also excels in typography, dynamic lighting, and vibrant color rendering.
\n
Stable Image Core
\n
Leveraging an enhanced version of SDXL, Stable Image Core, delivers exceptional speed and efficiency while maintaining the high-quality output synonymous with Stable Diffusion models.
\n
Key Use Cases
\n
Stability AI models are designed to support a wide range of industries, enabling professionals to generate professional grade visual media for various applications.
Media & Entertainment – Generate visuals for films, TV, and online content.
\n
Gaming & Metaverse – Develop immersive game assets and virtual environments.
\n
Education & Training – Produce educational illustrations and instructional visuals.
\n
Retail & E-Commerce – Enhance product displays with photorealistic imagery.
\n
Publishing – Support editorial content with unique AI-generated illustrations.
\n
\n
Responsible AI Considerations
\n
According to Stability.ai, they believe in safe, responsible AI practices and they take deliberate measures to ensure Integrity starts at the early stages of development. This means Stability has taken and continues to take reasonable steps to prevent the misuse of Stability AI models by bad actors. For more details on Stability AI’s commitment to safe and ethical AI development, visit the Stable Safety. In Azure AI Foundry in the model catalog Azure AI Content Safety is enabled by default on the Stability AI model suite and it cannot be toggled off.
\n
Why Azure AI Foundry for Stability AI?
\n
\n
Enhanced Security and data privacy: Azure places a strong emphasis on data privacy and security to protect customer data. Check out this article to learn more about data handling when you deploy models from the model catalog in Azure AI Foundry.
\n
\n
\n
Provision an API Endpoint: Create your Stability AI endpoint in seconds.
\n
\n
\n
Experiment: Try it out in the Azure AI Foundry playground or integrate it with popular LLM app development tools.
How to deploy Stability AI models in model catalog?
\n
To get started with Azure AI Foundry and deploy your first model, follow these clear steps:
\n\n
Familiarize yourself: If you're new to Azure AI Foundry, start by reviewing this documentation to understand the basics and set up your first project.
\n
Access the model catalog: Open the model catalog in AI Foundry.
\n
Find the model: Click the “View models” button on the MaaS announcement card.
\n
Select the model: Open the Stability AI model from the list.
\n
Deploy the model: Click on ‘Deploy’ and choose the managed compute option
\n\n
Watch the Fireside Chat
\n
For an executive perspective and deeper insights into Stability AI, watch the Fireside Chat with Stability AI CEO Prem Akkaraju.
\n
Get Started with Stability AI
\n
With their groundbreaking versatility, realism, and efficiency, Stability AI models are redefining how AI can assist in professional-grade visual media creation, empowering businesses and creatives to produce stunning imagery effortlessly.Start generating quality visuals by visiting the model catalog in Azure AI Foundry.
","body@stringLength":"19559","rawBody":"
Stable Diffusion 3.5 Large
\n
At 8.1 billion parameters, Stable Diffusion 3.5 is the most powerful model in the Stable Diffusion family. Our collaboration with Stability AI brings this sophisticated model to our catalog, introducing image-to-image capabilities to Azure AI Foundry for the first time. The model delivers exceptional text-to-image generation with superior quality and prompt adherence, making it ideal for professional use cases at 1 megapixel resolution.
\n
\n\n
Images above were created using Stable Diffusion 3.5 Large
\n
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.
\n
\n\n
Images above were created using Stable Diffusion 3.5 Large
\n
According to Stability AI, this model also offers unmatched versatility, generating visuals in virtually any style, from 3D and photography to painting and line art. And their analysis shows that Stable Diffusion 3.5 Large leads the market in prompt adherence and rivals significantly larger models in image quality (Stability AI analysis).
\n
\n\n
Images above were created using Stable Diffusion 3.5 Large
\n
Stable Diffusion 3.5 Large can do both text-to-image and image-to-image generation. Image-to-image AI refers to a generative artificial intelligence technique that transforms one image into another, modifying aspects such as style, content, or context while preserving the original structure.
\n
Applications of Image-to-Image models:
\n
\n
Style Transfer: photograph into a painting resembling a specific style like watercolor, pen and ink and others
\n
\n
\n
Image Restoration: Enhancing or repairing images by removing noise, correcting colors, or filling in missing parts to improve clarity and quality.
\n
\n
While Stable Diffusion 3.5 Large is a highly capable AI model, it is not trained to generate factual representations of people or historical events. Users should avoid applications that require authenticity or real-world accuracy, as this model is optimized for creative and illustrative purposes rather than factual depictions.
\n
Stable Image Ultra
\n
Powered by the advanced capabilities of Stable Diffusion 3.5 Large, Stable Image Ultra sets a new standard in photorealism. Stable Image Ultra is ideal for product imagery in marketing and advertising. It also excels in typography, dynamic lighting, and vibrant color rendering.
\n
Stable Image Core
\n
Leveraging an enhanced version of SDXL, Stable Image Core, delivers exceptional speed and efficiency while maintaining the high-quality output synonymous with Stable Diffusion models.
\n
Key Use Cases
\n
Stability AI models are designed to support a wide range of industries, enabling professionals to generate professional grade visual media for various applications.
Media & Entertainment – Generate visuals for films, TV, and online content.
\n
Gaming & Metaverse – Develop immersive game assets and virtual environments.
\n
Education & Training – Produce educational illustrations and instructional visuals.
\n
Retail & E-Commerce – Enhance product displays with photorealistic imagery.
\n
Publishing – Support editorial content with unique AI-generated illustrations.
\n
\n
Responsible AI Considerations
\n
According to Stability.ai, they believe in safe, responsible AI practices and they take deliberate measures to ensure Integrity starts at the early stages of development. This means Stability has taken and continues to take reasonable steps to prevent the misuse of Stability AI models by bad actors. For more details on Stability AI’s commitment to safe and ethical AI development, visit the Stable Safety. In Azure AI Foundry in the model catalog Azure AI Content Safety is enabled by default on the Stability AI model suite and it cannot be toggled off.
\n
Why Azure AI Foundry for Stability AI?
\n
\n
Enhanced Security and data privacy: Azure places a strong emphasis on data privacy and security to protect customer data. Check out this article to learn more about data handling when you deploy models from the model catalog in Azure AI Foundry.
\n
\n
\n
Provision an API Endpoint: Create your Stability AI endpoint in seconds.
\n
\n
\n
Experiment: Try it out in the Azure AI Foundry playground or integrate it with popular LLM app development tools.
How to deploy Stability AI models in model catalog?
\n
To get started with Azure AI Foundry and deploy your first model, follow these clear steps:
\n\n
Familiarize yourself: If you're new to Azure AI Foundry, start by reviewing this documentation to understand the basics and set up your first project.
\n
Access the model catalog: Open the model catalog in AI Foundry.
\n
Find the model: Click the “View models” button on the MaaS announcement card.
\n
Select the model: Open the Stability AI model from the list.
\n
Deploy the model: Click on ‘Deploy’ and choose the managed compute option
\n\n
Watch the Fireside Chat
\n
For an executive perspective and deeper insights into Stability AI, watch the Fireside Chat with Stability AI CEO Prem Akkaraju.
\n
Get Started with Stability AI
\n
With their groundbreaking versatility, realism, and efficiency, Stability AI models are redefining how AI can assist in professional-grade visual media creation, empowering businesses and creatives to produce stunning imagery effortlessly.Start generating quality visuals by visiting the model catalog in Azure AI Foundry.
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Do you have any example on how to create Image to Image in Python. Couldn't find any documentation around it?
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The image to image functionality is not working. According to the Stability API reference, there is a parameter 'mode' that should be set to 'image-to-image' so that both the prompt as well as the original image are used to influence the output image. However, this is not present in the code sample you reference. Another user has seen the same issue: https://techcommunity.microsoft.com/discussions/azure-ai-services/image-to-image-generation-using-stable-diffuson-3-5-large-model/4385020
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