Flux.1 [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
- 1 August 2024
- Authors
- Andreas Blattmann, Axel Sauer, Dominik Lorenz, Dustin Podell, Frederic Boesel, Harry Saini, Jonas Müller, Kyle Lacey, Patrick Esser, Robin Rombach, Sumith Kulal, Tim Dockhorn, Yam Levi, Zion English
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Image generation
- Task
- Image generation, Text-to-image
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.
- Parameters
- 12B
- Training data
- tokens
"All public FLUX.1 models are based on a hybrid architecture of multimodal and parallel diffusion transformer blocks and scaled to 12B parameters."
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
How it is classified
Labels the source dataset applies when tracking notable models, and how confident it is in the entry.
- Record confidence
- Confident
Sources
Where this record came from and when it was last checked.
- Reference
- Flux.1
- Last updated
- 28 November 2025
What the numbers mean
What this model is
Flux.1 [pro] was published by Black Forest Labs, in Germany, in August 2024. The organisation is categorised as industry.
It works in Image generation, and is recorded as doing image generation, Text-to-image.
Its weights were never published, so it can only be reached through its provider. No graphics card changes that.
Answers
Flux.1 [pro] — common questions
What is Flux.1 [pro] used for?
Flux.1 [pro] works in Image generation, and is recorded as handling image generation, Text-to-image. Models frequently carry more than one of each, and the tags describe purpose rather than capability limits.
What GPU do I need to run Flux.1 [pro]?
None. Flux.1 [pro] 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.
Is Flux.1 [pro] open source?
No. Flux.1 [pro] has not had its weights published, so it exists only as a service controlled by its owner.
How many parameters does Flux.1 [pro] have?
Flux.1 [pro] has 12B parameters. "All public FLUX.1 models are based on a hybrid architecture of multimodal and parallel diffusion transformer blocks and scaled to 12B parameters.". That figure is the total, and it is what decides how much memory the model needs — roughly half a gigabyte per billion at the compression most people use.
Who created Flux.1 [pro]?
Flux.1 [pro] was published by Black Forest Labs, based in Germany, categorised as industry.
When was Flux.1 [pro] released?
Flux.1 [pro] was published in August 2024. Capability per parameter has improved considerably since, so a newer model of the same size is often the better use of the same hardware.
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.