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Average Ratings 0 Ratings

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ease
features
design
support

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Description

FLUX.2 advances the FLUX model family with major improvements in realism, prompt adherence, and world knowledge, enabling it to produce coherent lighting, spatial logic, and accurate material properties. It offers multi-reference generation with support for up to 10 images, allowing creators to maintain continuity across characters, products, and environments. The model reliably handles complex text, detailed typography, and branding requirements, making it suitable for marketing, design, and enterprise workflows. Editing capabilities reach resolutions up to 4 megapixels, preserving fine structure and stylistic fidelity. FLUX.2 is built on a latent flow matching architecture, combining a Mistral-3 based vision-language model with a rectified-flow transformer to unify generation and editing. Its variants—FLUX.2 [pro], FLUX.2 [flex], FLUX.2 [dev], and the upcoming FLUX.2 [klein]—offer a full spectrum of performance and control for teams of all sizes. Developers can self-host open weights, integrate via API, or tune generation parameters for full-stack customization. In every configuration, FLUX.2 is designed to radically improve productivity while lowering the cost of high-quality image creation.

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 No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

AIVideo.com Yes 
Adobe Firefly Yes 
Business Pitch Yes 
Eromify Yes 
FLUX Upscale Yes 
FLUX.2 [klein] Yes 
FancyMe Yes 
Fuser Yes 
Haimeta Yes 
Higgsfield Supercomputer Yes 
ImageGPT.io Yes 
Magai Yes 
Magnific Yes 
Model Playground Yes 
OmniGen AI Yes 
PXZ AI Yes 
Pixalice Yes 
SnapVee Studio Yes 
VESSL AI Yes 
fal Yes 

Integrations

AIVideo.com No 
Adobe Firefly No 
Business Pitch No 
Eromify No 
FLUX Upscale No 
FLUX.2 [klein] No 
FancyMe No 
Fuser No 
Haimeta No 
Higgsfield Supercomputer No 
ImageGPT.io No 
Magai No 
Magnific No 
Model Playground No 
OmniGen AI No 
PXZ AI No 
Pixalice No 
SnapVee Studio No 
VESSL AI No 
fal No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Black Forest Labs

Founded

2024

Country

Germany

Website

bfl.ai/blog/flux-2

Vendor Details

Company Name

Alibaba

Founded

1999

Country

China

Website

github.com/QwenLM/Qwen-Image-2.1

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