Flux

Black Forest Labs' open image generation model that surpassed Stable Diffusion in quality and versatility.

Image Generation Freemium Has API Open Source
Researched · Published · Reviewed
RECATOOLS Score
8.3 / 10
Capability
9
Value for money
8
Ease of use
6
ASEAN readiness
7
API quality
8
Founded
2024
HQ
Munich, Germany
Users
1m+ users via API providers
Launched
Aug 2024
Developer
Black Forest Labs

Overview

FLUX is a family of image generation models developed by Black Forest Labs, founded by the original creators of Stable Diffusion after leaving Stability AI. Released in August 2024, FLUX.1 demonstrated significantly improved image quality, prompt adherence, and text rendering compared to its predecessors, quickly establishing itself as the new state-of-the-art for open-source image generation.

The model family includes three variants: FLUX.1 [pro] (the highest quality, API-only), FLUX.1 [dev] (open weights for non-commercial use, excellent quality), and FLUX.1 [schnell] (fully open Apache 2.0 licence, optimised for speed). The hybrid architecture combining transformer and diffusion components enables superior text-in-image rendering, prompt adherence, and output diversity.

FLUX quickly replaced Stable Diffusion as the default base model in the community, with ComfyUI nodes and LoRA fine-tuning ecosystems developing within weeks of release. The model is available via the fal.ai and Replicate APIs for developers, and integrated into many consumer platforms. Black Forest Labs raised $31 million in seed funding immediately following the launch.

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Pricing

Pricing shown for reference only. These figures reflect RECATOOLS research as of 8 May 2026 and may be out of date or incomplete. This is not financial or purchasing advice — always confirm the current price on the provider’s official website before making any decision.

Free
Free
FLUX.1 Schnell free to use and commercial Apache 2.0

Use cases

Replacing Stable Diffusion in existing image generation pipelines with higher quality output Fine-tuning a custom style model with the improved base architecture Generating images with accurate text rendering for design mockups
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ASEAN Perspective

Flux in Southeast Asia

ASEAN-region availability and pricing notes coming soon. Drop the editorial team a note via /contact/ if you can supply local context (Singapore/Malaysia/Indonesia/Thailand/Vietnam).

RECATOOLS Verdict

FLUX, from Black Forest Labs (founded by ex-Stable Diffusion researchers), is one of the strongest image-generation model families available, praised for prompt adherence, text rendering and image quality that rivals or beats Midjourney and DALL·E on many tasks. With open-weight variants (schnell/dev) and a hosted API plus FLUX.1 Kontext for editing, it serves both self-hosting tinkerers and product builders.

The nuance: FLUX is a model, not a polished consumer app, so you access it via APIs, comfyUI, or third-party front-ends rather than a friendly studio, and licensing differs across the variants (commercial use needs the right tier). As an API/open-weight model it is fully ASEAN-accessible. Outstanding capability for those willing to work at the model layer.

Independent AI-assisted assessment by RECATOOLS.

Notable facts

  • The Black Forest Labs founding team created the original Stable Diffusion architecture at Ludwig Maximilian University Munich, then commercialised it at Stability AI before leaving to found BFL.
  • FLUX.1 was released just 10 days after Black Forest Labs was founded, setting a record for fastest model release by a newly formed AI lab.
  • The schnell (German for 'fast') variant generates high-quality images in just 1-4 steps, compared to 20-50 steps for earlier diffusion models.

Frequently asked questions

Is FLUX free?
FLUX.1 Schnell is free and Apache 2.0 licensed. FLUX.1 Dev is open for non-commercial use. FLUX.1 Pro is API-only with paid access.
How does FLUX compare to Stable Diffusion?
FLUX generally produces higher quality images with better prompt adherence and text rendering. Most community tools have migrated to FLUX as the new default.
Can I fine-tune FLUX?
Yes. FLUX Dev and Schnell support LoRA fine-tuning. Tools like Ostris and ComfyUI workflows support training.
Where can I use FLUX online?
Via fal.ai, Replicate, or any platform that has integrated FLUX APIs.
What are the hardware requirements for FLUX locally?
FLUX.1 Schnell runs in about 16GB VRAM. Quantised versions can run in 8GB.

About this listing

Researched on
Published on
Last reviewed

This entry was compiled from publicly available data including Flux's official website, press releases, documentation, and reputable third-party publications. RECATOOLS is not affiliated with Flux unless explicitly stated.

Data accuracy

Third-party AI tools update their pricing, features, availability, and policies frequently. Information here may be outdated by the time you read this — we make reasonable efforts to keep listings current, but cannot guarantee absolute accuracy.

For the latest details, please refer to Flux directly →

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