FLUX 3 Image

FLUX 3 Image

Black Forest Labs
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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.

About

Qwen-Image 3.0 is the third-generation foundational image generation model in the Qwen-Image series, built to move AI imagery from visually appealing output toward practical, information-rich creation. Its capabilities center on three goals, rich content, authentic details, and deep knowledge. The model accepts prompts of up to 4.5K tokens, giving users room to describe complex layouts, exact copy, hierarchy, relationships, styles, and multiple sections in one request. It can generate dense content such as multi-panel infographics, newspaper pages, storyboards, examination sheets, presentation grids, academic pages, nested interfaces, posters, and other structured visuals in one pass rather than assembling separate images. Qwen-Image 3.0 strengthens text rendering with legible characters as small as 10 pixels, support for 12 languages, and the ability to reproduce complex LaTeX formulas, labels, paragraphs, handwritten annotations, and mixed-language layouts.

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

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

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

Audience

Individuals and teams that need to generate information-dense, multilingual visuals with readable text and realistic detail

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Supported
24/7 Live Support Supported
Online Supported

API

Offers API Supported

API

Offers API Supported

Screenshots and Videos

No images available

Screenshots and Videos

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Pricing

Free
Free Version Supported
Free Trial Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 5.0 / 5
ease 4.0 / 5
features 4.0 / 5

Pros & Cons from Real Users

Pros

  • Qwen-Image-3.0 looks really useful from a developer’s point of view because it is clearly built for practical image workflows, not just pretty AI art. The support for long prompts, detailed visual instructions, and complex layouts makes it feel much more usable for real apps. I like that it supports both text-to-image and image editing. That matters a lot if you are building creative tools, marketing automation, product image workflows, design assistants, or anything where users need to iterate instead of starting over every time.

Cons

  • The main downside is that it is still early and access appears limited. Alibaba Cloud’s docs currently describe the model as being in limited preview, so I would want to test availability, pricing, latency, and API reliability before building around it.

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

Black Forest Labs
Founded: 2024
Germany
bfl.ai/models/flux-3-image

Company Information

Alibaba
Founded: 1999
China
qwen.ai/blog

Alternatives

FLUX.1 Kontext

FLUX.1 Kontext

Black Forest Labs

Alternatives

FLUX.2 [max]

FLUX.2 [max]

Black Forest Labs
FLUX.2 [klein]

FLUX.2 [klein]

Black Forest Labs
FLUX.2

FLUX.2

Black Forest Labs
FLUX.2

FLUX.2

Black Forest Labs
FLUX.1

FLUX.1

Black Forest Labs

Categories

AI Image Models Supported

Categories

AI Image Models Supported

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

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
Claim FLUX 3 Image and update features and information
Claim FLUX 3 Image and update features and information
Claim Qwen-Image-3.0 and update features and information
Claim Qwen-Image-3.0 and update features and information