FLUX 2 Flex
Neural Network
FLUX 2 Flex is a Black Forest Labs model for image generation with accurate text and typography, and editing via references.
Specifications
- Input
- text, images
- Output
- images
- Resolution
- 0.5 MP, 1 MP, 2 MP, 4 MP
- Aspect ratio
- custom, 1:1, 16:9, 3:2, 2:3, 4:5, 5:4, 9:16, 3:4, 4:3
- File formats
- WEBP, JPG, PNG
Prompt cost
(per 1M tokens)
Video generation
(duration 8 sec., 720p)
Video generation
(duration 8 sec., 1080p)
How it works FLUX 2 Flex?
FLUX 2 Flex is an image generation model from Black Forest Labs that confidently handles what usually breaks generators: complex lettering, typography, and fine details. Its unified architecture allows creating frames from text descriptions and editing them based on multiple references, which is useful for maintaining objects, characters, or styles across frames. Through BotHub, the model is accessible from Russia without a VPN or foreign card; payment is made with Russian cards in rubles per generation, and unused balances do not expire. With over 250 models available in one window, results are easy to compare, and a unified OpenAI-compatible API helps connect FLUX 2 Flex to your product; contracts, invoices, and an admin panel with limits are available for teams. Designers will find it useful for posters, covers, and packaging with readable text; marketers for banners and ad creatives; SMM teams for series of visuals in a consistent style; and illustrators for refining finished frames using references.Frequently asked questions about FLUX 2 Flex
You can use generated results for commercial purposes. You own all rights to the content you create. The only restriction: make sure your prompt does not include copyrighted third-party material. You are responsible for respecting the rights to any input data.
It is a generative model for images: it creates images from text descriptions and can work in image-to-image mode, meaning it relies on an uploaded reference. It is suitable for illustrations, concepts, visuals for social media and advertising, covers, mockups, and quick variations of an idea.
The output is a raster image that you can download or retrieve directly via API. Exact generation parameters and costs are listed in the technical header of the page, so refer to them, and define frame detail using prompt wording and references.
A separate step-by-step reasoning mode is not noted in our data: it is a visual model, it processes the request directly and outputs an image. If you need a chain of thought or text-based task analysis, text models are available nearby in BotHub in the same window.
Function calling and structured output are not noted for this model in our data — its result is an image. However, you can access it via the unified OpenAI-compatible BotHub API, so models can be swapped in a multi-model system without rewriting the integration.
Images — yes, image-to-image mode is exactly for this: you provide a reference and ask to change the style, details, or create a variation. Audio and video input are not noted in our data; for such tasks, there are separate specialized models in BotHub.
We make no claims about prompt language in the model data, so please test it with your task — it is fast, payment is per use, and tokens do not expire. The BotHub service itself is Russian-speaking: access from Russia without a VPN or foreign card, payment in rubles.