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Description
IntoLayers is an innovative AI-driven application that transforms a flat image into multiple editable layers, making it user-friendly for various creative tasks. By simply uploading a PNG or JPEG file, the system identifies each text block, subject, and graphic component, while reconstructing the background to fill in any voids. Each identified element is returned as a distinct, named, transparent PNG layer, accurately positioned just as it appeared in the original image. Users have the option to download individual layers or export the entire collection as a layered PSD file, which can be seamlessly opened in software like Photoshop, Photopea, Figma, or Affinity Photo without the need for manual masking or the use of a pen tool. Unlike conventional background removal tools that focus on extracting a single subject and discarding the rest, IntoLayers retains every element as an editable layer, offering greater flexibility and control. This tool is particularly beneficial for marketers looking to refresh a campaign visual, designers who have received a flyer without the original source file, and anyone needing to make targeted adjustments to an AI-generated image without the hassle of regenerating the entire composition. Ultimately, IntoLayers provides a streamlined solution for anyone in need of precise image editing.
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
API Access
Has API
Screenshots View All
No images available
Integrations
Happy Shrimp 1.0
Qwen
Qwen Studio
QwenCloud
Pricing Details
$14.9/month
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
IntoLayers
Founded
2026
Country
United States
Website
intolayers.com
Vendor Details
Company Name
Alibaba
Founded
1999
Country
China
Website
github.com/QwenLM/Qwen-Image-2.1