Qwen-Image-2.1Alibaba
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Related Products
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About
Qwen-Image-2.1 is a unified text-to-image generation and image editing model in the Qwen family, designed to balance generation quality, inference efficiency, and versatility. Its visual generation component contains 7B parameters and uses 32 Single-Stream DiT layers, with a lightweight architecture that combines mixed-granularity attention and prefix KV cache reuse to deliver strong image quality at lower computational cost. The model natively supports both regular and transparent RGBA image generation, transparent-layer editing, and subject extraction from photographs within a single system. For image editing, it can use up to 10 reference images for multi-subject composition, accept local edit instructions through circles, painted annotations, or separate masks, and preserve the identity of people and products. Improvements to typography, portrait lighting, realistic textures, and fine details are designed to produce more refined and visually compelling results.
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About
Enjoy a pleasant and intuitive web interface user experience. Fairly good documentation, for users and developers alike. This thing was built by network engineers for network engineers because nothing else out there matched our passion for storing IP addresses. Comes with a feature complete CLI for anyone who prefers libreadline to a web browser. Written in the world's most awesomest programming language. There's also a very convenient pynipap library for interfacing with NIPAP from Python. Never again wade through long list of IP addresses for finding the next available one. NIPAP's automagic address allocation functionality quickly gives you the next free address. Really great search engine built-in that does what you want. NIPAP understand IP prefixes and has search operators to match on more specific prefixes, covering prefixes and so on. Regular expressions are supported for everything else!
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Developers, researchers, and creative AI teams seeking to generate, edit, compose, and manipulate high-quality images with an open source multimodal generation model
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Audience
Network engineers looking for an IP address management system to handle large amounts of IP addresses
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Not Supported
24/7 Live Support
Supported
Online
Supported
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API
Offers API
Supported
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API
Offers API
Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Supported
In Person
Not Supported
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Company InformationAlibaba
Founded: 1999
China
github.com/QwenLM/Qwen-Image-2.1
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Company Informationnipap
United States
spritelink.github.io/NIPAP/
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Categories |
Categories |
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Integrations
Happy Shrimp 1.0
Supported
PostgreSQL
Not Supported
Qwen
Supported
Qwen Studio
Supported
QwenCloud
Supported
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Integrations
Happy Shrimp 1.0
Not Supported
PostgreSQL
Supported
Qwen
Not Supported
Qwen Studio
Not Supported
QwenCloud
Not Supported
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