FLUX.1 Kontext [pro]
No estimate
No hardware requirements for this model
The weights for this model have not been published, so it cannot be downloaded or run on your own hardware at any size. It is reachable only through its provider, and no graphics card changes that.
On record
Full specification
Everything on record for this model. Most of it describes how it was trained rather than how it runs — useful context for judging how much work went into it, and how it compares with models built at a different scale.
Origin
Who built this model, where, and when it was published.
- Organisation
- Black Forest Labs
- Organisation type
- Industry
- Country
- Germany
- Published
- 29 May 2025
- Authors
- Stephen Batifol, Andreas Blattmann, Frederic Boesel, Saksham Consul, Cyril Diagne, Tim Dockhorn, Jack English, Zion English, Patrick Esser, Sumith Kulal, Kyle Lacey, Yam Levi, Cheng Li, Dominik Lorenz, Jonas Müller, Dustin Podell, Robin Rombach, Harry Saini, Axel Sauer, Luke Smith
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Image generation, Vision
- Task
- Image generation, Text-to-image, Image captioning
Size
How large the model is and how much data it was trained on. Parameters are the figure that decides whether it fits on a given graphics card.
- Training data
- tokens
Availability
Whether you can obtain the model and run it on your own hardware, which is what decides if any of the graphics-card figures on this page apply.
- Weights
- Closed — provider access only
- Model access
- API access
- Training code
- Unreleased
FLUX.1 Kontext [max] and FLUX.1 Kontext [pro] are available at KreaAI, Freepik, Lightricks, OpenArt and LeonardoAI and via our infrastructure partners FAL, Replicate, Runware, DataCrunch, TogetherAI and ComfyOrg. We received support for preference data collection by OpenArt and KreaAI.
How it is classified
Labels the source dataset applies when tracking notable models, and how confident it is in the entry.
- Record confidence
- Unknown
Sources
Where this record came from and when it was last checked.
- Reference
- FLUX.1 Kontext: Flow Matching for In-Context Image Generation and Editing in Latent Space
- Last updated
- 28 November 2025
What the numbers mean
Where it came from
FLUX.1 Kontext [pro] was published by Black Forest Labs, in the country recorded as Germany, during May 2025. It comes out of an organisation categorised as industry.
It works in the domain of Image generation, Vision, and is recorded as performing the task of image generation, Text-to-image, Image captioning.
Its weights were never published, so it can only be reached through its provider. No graphics card changes that.
Answers
FLUX.1 Kontext [pro] — common questions
FLUX.1 Kontext [pro]— what is it used for?
It works in the domain of Image generation, Vision, and is recorded as handling the task of image generation, Text-to-image, Image captioning. Models frequently carry more than one of each, and the tags describe purpose rather than capability limits.
FLUX.1 Kontext [pro]— what GPU do I need to run it?
None. This is a closed model — its weights were never published, so it cannot be downloaded or run on your own hardware at any price. It is reachable only through its provider.
FLUX.1 Kontext [pro]— is it open source?
No. Its weights have not been published, so it exists only as a service controlled by its owner.
FLUX.1 Kontext [pro]— how many parameters does it have?
No parameter count has been published for it, which is why no memory or speed figure appears on this page.
FLUX.1 Kontext [pro]— who created it?
It was published by Black Forest Labs, based in Germany, an organisation categorised as industry.
FLUX.1 Kontext [pro]— when was it released?
It was published in May 2025.
The other direction
Looking at it from the other side?
This page starts from the model. If you already own a card and want to know everything it will run, start from the hardware instead.