- Jul 15, 2025
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Magnolia AI Accelerator 2.2: Revolutionizing Content Creation with Enhanced AI Capabilities
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Take a tour nowWe're excited to announce the release of Magnolia AI Accelerator version 2.2, our most powerful and flexible AI integration suite yet. This major update introduces three game-changing features that will transform how content creators, marketers, and developers work with AI in the Magnolia ecosystem.
What's New in Version 2.2
1. Unified Model Registry: The Foundation for AI Flexibility
The centerpiece of our 2.2 release is the new unified model registry, a comprehensive system that enables seamless integration with virtually any AI model. This breakthrough feature allows organizations to:
Connect to multiple AI providers including OpenAI, AWS Bedrock, Google Gemini, and Fal.ai
Configure custom AI models through simple YAML files in your light modules
Define model parameters with precise control over inputs and outputs
Switch between models without changing your implementation
Compliance and vendor selection
You can choose the AI service provider of your choice and even bring your own AI models. Stay flexible with respect to compliance and regulatory requirements and switch AI models with ease.
The model registry introduces several key concepts:
AI Models: Collections of parameters defining a specific AI model's behavior and capabilities
AI Tasks: Executable units that contain business logic or call models directly
AI Task Types: Groupings of tasks that share common functionality and interface definitions
Model Adapters: Mappings between task inputs/outputs and model inputs/outputs
This architecture provides unprecedented flexibility, allowing developers to create custom AI workflows while giving content authors a consistent interface regardless of the underlying AI provider.
AI Tasks
AI Tasks are central to the functionality of the Magnolia AI Accelerator. They serve as the executable units that encapsulate both simple and complex logic involving AI models. An AI Task might contain direct business logic like calling an API to retrieve data or call AI models to generate or modify content. These tasks are executed through the commands API, allowing seamless integration and automation within the Magnolia ecosystem.
The application of tasks range from generating a component (an AI Task that is already included in AI Accelerator) to more complex tasks such as getting and analyzing page metrics from a web analytics tool such as Matomo and improving SEO properties based on these insights.

2. Enhanced Component Generation with Model Choice
Building on our popular AI-powered component generation, version 2.2 now leverages the model registry to offer:
Model selection for component generation tasks
Customizable parameters for fine-tuning generation results
Consistent interfaces across different AI models
Improved personalization for variant generation
Content authors can now select from available models when generating components, giving them more control over the style and quality of AI-generated content while maintaining the simplicity of the interface they're already familiar with.
3. AI Image Editor: Complete Visual Creation
The crown jewel of our 2.2 release is the new AI Image Editor, a powerful tool that combines AI image generation with comprehensive editing capabilities. This feature-rich editor allows users to:
Generate images using text prompts with multiple AI models (DALL-E 3, FLUX.1, etc.)
Edit existing images with a full suite of tools (selection, move, rotate, crop)
Work with layers for precise control over composition elements
Add and format text with advanced alignment and styling options
Process images intelligently with background removal
Integrate with your asset library to combine AI-generated and existing assets
The AI Image Editor features an intuitive interface with a layers panel, editor canvas, tools panel, and properties panel, making it accessible to users of all skill levels while providing the depth needed for complex image compositions.
Introducing the Magnolia AI Image Editor:
Transforming Digital Asset Creation with Magnolia
Extensibility for Developers
Version 2.2 is designed with extensibility at its core:
Add custom models by creating YAML configuration files in your light modules
Define custom tasks with specific input and output parameters
Create model adapters to connect tasks with models
Extend the AI Image Editor with custom tools and processing capabilities
The simplified configuration approach means developers can implement complex AI features with minimal code, focusing on business logic rather than integration details.
Real-World Applications
The AI Accelerator 2.2 enables a wide range of practical use cases:
Content Creation: Generate text, images, and entire pages with consistent brand voice
Personalization: Create tailored content variants for different audience segments
Image Processing: Remove backgrounds, create mockups, and optimize visuals
SEO Optimization: Automatically generate metadata and image descriptions
Multilingual Content: Streamline translation and localization workflows
"The Magnolia AI Accelerator is designed to help content creators and marketers leverage the power of artificial intelligence in their daily workflows, making content creation faster, more consistent, and more effective."
What's Next
While version 2.2 represents a significant advancement in our AI capabilities, we're already working on future enhancements:
Additional AI model integrations
Enhanced collaboration features
Expanded template libraries
Advanced image editing capabilities
We're committed to continuously improving the AI Accelerator based on your feedback and evolving needs.
Getting Started
Existing Magnolia customers can upgrade to AI Accelerator 2.2, the upgrade process is straightforward, with backward compatibility for existing AI features.
For detailed information on configuring the model registry and working with the AI Image Editor, please refer to our comprehensive documentation here: https://docs.magnolia-cms.com/ai-accelerator/.
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