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What is Qwen-Image-2.1?

Qwen-Image-2.1 represents a cutting-edge advancement in the domain of converting text to images and modifying existing images, forming part of the Qwen series that is meticulously designed to strike an effective balance among image quality, inference efficiency, and overall flexibility. This sophisticated model boasts a visual generation framework that encompasses 7 billion parameters and employs 32 Single-Stream DiT layers, featuring a streamlined architecture that combines mixed-granularity attention with prefix KV cache reuse, which ensures the production of high-quality images while keeping computational requirements low. It natively supports the creation of both standard images and transparent RGBA files, enabling seamless editing of transparent layers and facilitating the extraction of subjects from photos, all within a unified system. For complex editing tasks, Qwen-Image-2.1 can accommodate up to ten reference images, allowing for intricate multi-subject setups, and it accepts local editing requests through methods such as circles, painted notes, or distinct masks, all while preserving the fidelity of individuals and products during modifications. Significant improvements have been made in typography, portrait lighting, realistic texture rendering, and intricate detailing, resulting in outputs that are not only aesthetically appealing but also exhibit a high level of polish. Furthermore, the model’s adaptability across a range of image generation applications distinctly positions it as a leader in the field of image synthesis technology, showcasing its potential for diverse creative endeavors. As such, it opens up new possibilities for artists and designers looking to enhance their visual projects.

What is IntoLayers?

IntoLayers is a cutting-edge application powered by AI that converts a single flat image into multiple editable layers, enhancing usability for a wide range of creative projects. Users can easily upload a PNG or JPEG file, and the application automatically detects each text block, subject, and graphic element, reconstructing the background to eliminate any gaps. Every recognized component is saved as a separate, named, transparent PNG layer, maintaining its original placement as seen in the source image. Individuals have the flexibility to download specific layers or export all layers together in a PSD file format, which is compatible with programs like Photoshop, Photopea, Figma, or Affinity Photo, eliminating the need for tedious manual masking or the pen tool. Unlike traditional background removal tools that typically isolate a single subject while discarding other elements, IntoLayers preserves all components as editable layers, providing users with enhanced flexibility and control over their editing process. This feature is especially advantageous for marketers aiming to update visual content, designers who have received flyers without access to original source files, and anyone looking to make specific modifications to AI-generated images without the need to recreate the entire composition. As a result, IntoLayers stands out as a comprehensive solution for those seeking accurate and efficient image editing capabilities in their creative workflows.

Media

Media

No images available

Integrations Supported

Happy Shrimp 1.0
Qwen
Qwen Studio
QwenCloud

Integrations Supported

Happy Shrimp 1.0
Qwen
Qwen Studio
QwenCloud

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Pricing Information

$14.9/month
Free Version
Free Trial Offered?

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Alibaba

Date Founded

1999

Company Location

China

Company Website

github.com/QwenLM/Qwen-Image-2.1

Company Facts

Organization Name

IntoLayers

Date Founded

2026

Company Location

United States

Company Website

intolayers.com

Categories and Features

Categories and Features

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