FLUX 3 ImageBlack Forest Labs
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Qwen-Image-2.1Alibaba
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Related Products
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About
FLUX 3 Image is an AI image generation and editing model from Black Forest Labs designed to provide precise control over image composition and individual visual elements. It supports text-to-image generation with prompt following and lets users position elements using bounding boxes on a coordinate-based canvas. Users can perform multiple targeted edits while keeping specified parts of the original image unchanged. The model can also combine as many as 10 reference images into a single composed image, allowing specific objects, clothing, styles, and other visual references to be incorporated into a new result. FLUX 3 Image supports native 2K and 4K rendering to preserve details such as textures, faces, and colors, along with pixel-level editing of selected image regions. The model is also designed for use by AI agents and is available under a commercial weights license for organizations that want to fine-tune and deploy image generation on their own infrastructure.
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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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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
Designers, creative professionals, developers, AI application builders, marketing and media teams, visual content creators, enterprises, and agent developers that need controllable image generation, high-resolution rendering, reference-based composition, or precise AI image editing
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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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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
Not 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 VideosNo images available
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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
Not Supported
In Person
Not Supported
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Company InformationBlack Forest Labs
Founded: 2024
Germany
bfl.ai/models/flux-3-image
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Company InformationAlibaba
Founded: 1999
China
github.com/QwenLM/Qwen-Image-2.1
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Categories |
Categories |
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Integrations
Collart AI
Supported
FLUX 3
Supported
FLUX Upscale
Supported
Happy Shrimp 1.0
Not Supported
Qwen
Not Supported
Qwen Studio
Not Supported
QwenCloud
Not Supported
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Integrations
Collart AI
Not Supported
FLUX 3
Not Supported
FLUX Upscale
Not Supported
Happy Shrimp 1.0
Supported
Qwen
Supported
Qwen Studio
Supported
QwenCloud
Supported
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