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What is FLUX.2?

FLUX.2 represents a frontier-level leap in visual intelligence, built to support the demands of modern creative production rather than simple demos. It combines precise prompt following, multi-reference consistency, and coherent world modeling to produce images that adhere to brand rules, layout constraints, and detailed styling instructions. The model excels at everything from photoreal product renders to infographic-grade typography, maintaining clarity and stability even with tightly structured prompts. Its ability to edit and generate at resolutions up to 4 megapixels makes it suitable for advertising, visualization, and enterprise-grade creative pipelines. FLUX.2’s core architecture fuses a large Mistral-3-based vision-language model with a powerful latent rectified-flow transformer, capturing scene structure, spatial relationships, and authentic lighting cues. The rebuilt VAE improves fidelity and learnability while keeping inference efficient—advancing the industry’s understanding of the learnability-quality-compression tradeoff. Developers can choose between FLUX.2 [pro] for top-tier results, FLUX.2 [flex] for parameter-level control, FLUX.2 [dev] for open-weight self-hosting, and FLUX.2 [klein] for a lightweight Apache-licensed option. Each model unifies text-to-image, image editing, and multi-input conditioning in a single architecture. With industry-leading performance and an open-core philosophy, FLUX.2 is positioned to become foundational creative infrastructure across design, research, and enterprise. It also pushes the field closer to multimodal systems that blend perception, memory, and reasoning in an open and transparent way.

What is FLUX.1 Krea?

FLUX.1 Krea [dev] represents a state-of-the-art open-source diffusion transformer boasting 12 billion parameters, collaboratively developed by Krea and Black Forest Labs, and is designed to deliver remarkable aesthetic accuracy and photorealistic results while steering clear of the typical “AI look.” Fully embedded within the FLUX.1-dev ecosystem, this model is based on a foundational framework (flux-dev-raw) that encompasses a vast array of world knowledge. It employs a two-phase post-training strategy that combines supervised fine-tuning using a thoughtfully curated mix of high-quality and synthetic samples, alongside reinforcement learning influenced by human feedback derived from preference data to refine its stylistic outputs. Additionally, through the creative application of negative prompts during pre-training, coupled with specialized loss functions aimed at classifier-free guidance and precise preference labeling, it achieves significant improvements in quality with less than one million examples, all while eliminating the need for complex prompts or supplementary LoRA modules. This innovative methodology not only enhances the quality of the model's outputs but also establishes a new benchmark in the realm of AI-generated visual content, showcasing the potential for future advancements in this dynamic field.

Media

Media

Integrations Supported

Fuser
AIVideo.com
ChatLabs
FLUX.1
FancyMe
FlyAgt
GlobalGPT
Haimeta
Hyperbolic
ImageGPT.io
Magai
Model Playground
OmniGen AI
PXZ AI
Poe
SiliconFlow
VESSL AI
WaveSpeedAI
YouArt
fal

Integrations Supported

Fuser
AIVideo.com
ChatLabs
FLUX.1
FancyMe
FlyAgt
GlobalGPT
Haimeta
Hyperbolic
ImageGPT.io
Magai
Model Playground
OmniGen AI
PXZ AI
Poe
SiliconFlow
VESSL AI
WaveSpeedAI
YouArt
fal

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Free
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Black Forest Labs

Date Founded

2024

Company Location

Germany

Company Website

bfl.ai/blog/flux-2

Company Facts

Organization Name

Krea

Date Founded

2022

Company Location

United States

Company Website

www.krea.ai/blog/flux-krea-open-source-release

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