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features
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Description

MAI Image 2.7 is an innovative image-editing model developed by Microsoft AI that allows users to make specific modifications to existing images while maintaining the overall structure and composition. This versatile tool enables users to restyle or adjust the lighting of a scene, reposition objects into different environments, alter text and symbols within images, and enhance or restore visual elements. Targeted towards creators and individuals who wish to perfect their images without the need to recreate entire scenes, it offers a user-friendly experience. Access to a preview version is provided through platforms such as MAI Playground, Arena, and Artificial Analysis, with the current focus on advanced image editing capabilities, while text-to-image generation features are anticipated in future updates. Practical applications of this model include altering product displays, adjusting the emotional tone of images, and performing selective edits on distinct objects, showcasing its wide range of potential uses. As the technology continues to evolve, it promises to significantly streamline the creative process for many users.

Description

Qwen-Image-2.1 is an advanced model for text-to-image creation and image modification, part of the Qwen series, engineered to effectively balance the quality of generated images, the efficiency of inference, and overall adaptability. With a visual generation architecture comprising 7 billion parameters and utilizing 32 Single-Stream DiT layers, it features a streamlined design that integrates mixed-granularity attention alongside prefix KV cache reuse, enabling high-quality image outputs while minimizing computational demands. This model offers native capabilities for creating both standard and transparent RGBA images, facilitating transparent-layer editing and allowing for subject extraction from images, all integrated within a single framework. For editing purposes, it accommodates up to ten reference images for complex multi-subject arrangements, takes local editing commands via circles, painted notes, or distinct masks, and maintains the integrity of individuals and products throughout the process. Enhancements in typography, portrait illumination, realistic textures, and intricate details have been implemented to yield results that are not only more polished but also visually striking. Additionally, this model’s versatility in handling various image generation tasks sets it apart in the realm of image synthesis technology.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Happy Shrimp 1.0 No 
Microsoft Azure Yes 
Microsoft Foundry Yes 
Qwen No 
Qwen Studio No 
QwenCloud No 

Integrations

Happy Shrimp 1.0 Yes 
Microsoft Azure No 
Microsoft Foundry No 
Qwen Yes 
Qwen Studio Yes 
QwenCloud Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Microsoft AI

Founded

2024

Country

United States

Website

microsoft.ai/news/mai-image-2-7-debut/

Vendor Details

Company Name

Alibaba

Founded

1999

Country

China

Website

github.com/QwenLM/Qwen-Image-2.1

Product Features

Product Features

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