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Data Center News > Blog > AI > FLUX.1 Kontext enables in-context image generation for enterprise AI pipelines
AI

FLUX.1 Kontext enables in-context image generation for enterprise AI pipelines

Last updated: May 30, 2025 5:06 am
Published May 30, 2025
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FLUX.1 Kontext enables in-context image generation for enterprise AI pipelines
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Black Forest Labs (BFL), the startup based by the creators of the favored Secure Diffusion mannequin, has launched a brand new picture era mannequin known as FLUX.1 Kontext. This mannequin not solely generates and edits photographs, but in addition permits customers to change them with each textual content and different photos. 

The corporate additionally introduced its new BFL Playground, the place individuals can check out BFL’s fashions earlier than letting them unfastened on enterprise functions. 

BFL launched two variations of the mannequin: FLUX.1 Kontext [pro] and FLUX.1 Kontext [max]. A 3rd model, FLUX.1 Kontext [dev] shall be obtainable on personal beta. Each the Professional and Max variations at the moment are obtainable on platforms comparable to KreaAI, Freepik, Lightricks, OpenArt and LeonardoAI. These fashions permit enterprise artistic groups and different builders to edit photos with precision and at a quicker tempo.

Right now we’re releasing FLUX.1 Kontext – a set of generative stream matching fashions that assist you to generate and edit photos.

In contrast to conventional text-to-image fashions, Kontext understands each textual content AND photos as enter, enabling true in-context era and modifying. pic.twitter.com/zleJGuXDge

— Black Forest Labs (@bfl_ml) May 29, 2025

FLUX.1 Kontext can carry out in-context era. This implies the mannequin will be generated from a reference or scenario offered to it; it doesn’t generate from scratch.

The corporate mentioned in a publish on X that 4 issues make Kontext “particular”: 

  • Character consistency and preserving parts throughout scenes
  • Native modifying that “targets particular components with out affecting the remainder”
  • Type reference that generates scenes in current types, and
  • Minimal latency
See also  A weekend ‘vibe code’ hack by Andrej Karpathy quietly sketches the missing layer of enterprise AI orchestration

Builders can check use circumstances and play with the fashions on the BFL Playground earlier than accessing the complete BFL API. 

The professional and max fashions 

Enterprises can use the professional model for quick and iterative modifying. Customers can enter each textual content and reference photos and make native edits. The corporate mentioned Kontext [pro] operates “as much as an order of magnitude quicker than earlier state-of-the-art fashions” and is among the first fashions that permits modifying on a number of turns. 

Alternatively, FLUX.1 Kontext [max] is the quicker model with most efficiency. The corporate mentioned it adheres extra to prompts, makes typography readable and is constant in edits with out compromising velocity.

In fact, many different picture era fashions may generate photographs from uploaded information. MidJourney’s AI picture editor can use a reference image after which edit particular areas of it. So does Adobe’s Firefly, which many individuals who use Adobe’s standard picture and video platforms have entry to. 

FLUX.1 Kontext [dev], the third model of the Kontext household of fashions, is an open-weight mannequin at 12 billion parameters.

Generative stream 

BFL mentioned FLUX.1 Kontext is a stream mannequin, which provides it extra flexibility to perform the duties talked about above. 

Circulate fashions be taught from a steady stream of information and outline a path between noisy knowledge and helpful info. This differs from diffusion, the mannequin structure that underpins many picture and video era fashions from Stability AI, MidJourney and even OpenAI’s Sora, which “denoises” knowledge. 

BFL mentioned in a weblog publish that the Kontext fashions characterize an development to stream fashions.

See also  Red Hat seeks to be the platform for enterprise AI

“FLUX.1 Kontext fashions transcend text-to-image,” the corporate mentioned. “In contrast to earlier stream fashions that solely permit for pure text-based era, FLUX.1 Kontext fashions additionally perceive and might create from current photos. With FLUX.1 Kontext you’ll be able to modify an enter picture by way of easy textual content directions, enabling versatile and prompt picture modifying – no want for finetuning or advanced modifying workflows.”

Within the text-to-image benchmark check, BFL claimed the FLUX.1 Kontext fashions can compete in opposition to different fashions by way of aesthetics, following prompts, realism and typography. 

Producing curiosity

BFL launched the text-to-image model Flux 1.1 Professional in October final 12 months. It additionally included an API for third-party builders to combine it into their apps.  

Because of the BFL Playground, some customers have already begun enjoying round with the Kontext fashions and report being impressed. 

Can we speak about how mind-blowing it’s that we will use a single picture to generate headshots or edit photos in lower than 10 seconds with @bfl_ml FLUX.1 Kontext?

I used the Skilled Headshot mannequin on @replicate and these aren’t excellent, however my actual photos are on the left… pic.twitter.com/SZfyZsuvIM

— Heather Cooper (@HBCoop_) May 29, 2025

In fact, it nonetheless has to compete with different picture fashions obtainable, particularly these which have been round for a couple of years and have continued to enhance. 


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TAGGED: enables, enterprise, FLUX.1, generation, image, incontext, Kontext, pipelines
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