Qwen-Image-2.1Alibaba
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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
Z-Image is an open source image generation foundation model family developed by Alibaba’s Tongyi-MAI team that uses a Scalable Single-Stream Diffusion Transformer architecture to generate photorealistic and creative images from text prompts with only 6 billion parameters, making it more efficient than many larger models while still delivering competitive quality and instruction following. It includes multiple variants; Z-Image-Turbo, a distilled version optimized for ultra-fast inference with as few as eight function evaluations and sub-second generation on appropriate GPUs; Z-Image, the full foundation model suited for high-fidelity creative generation and fine-tuning; Z-Image-Omni-Base, a versatile base checkpoint for community-driven development; and Z-Image-Edit, tuned for image-to-image editing tasks with strong instruction adherence.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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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
AI developers, researchers, and creative technologists who need a powerful, open source text-to-image generation model that delivers high-quality, efficient image synthesis and editing capabilities
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Free Trial
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Pricing
Free
Free Version
Free Trial
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationAlibaba
Founded: 1999
China
github.com/QwenLM/Qwen-Image-2.1
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Company InformationZ-Image
Founded: 1999
China
github.com/Tongyi-MAI/Z-Image
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Categories |
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Integrations
APIFree
Eromify
Happy Shrimp 1.0
Oxen.ai
Piooy
Qwen
Qwen Studio
QwenCloud
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Integrations
APIFree
Eromify
Happy Shrimp 1.0
Oxen.ai
Piooy
Qwen
Qwen Studio
QwenCloud
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