Text-to-Image Generation
Converts text prompts into images across styles including photorealistic, illustrative, and concept art. Accepts prompts up to a 10,000-token context window.
Blackforestlabs
FLUX.2 [turbo]
FLUX.2 [turbo] is an image generation model developed by Black Forest Labs, designed to convert text descriptions into images across a wide range of styles including photorealistic scenes, illustrations, concept art, and character design. The model supports resolutions up to 2K and 4MP output, with a context window of 10,000 tokens for prompt input. It accepts select and seed inputs, giving users control over style options and reproducibility of results. The model is positioned for workflows where generation speed is a priority, producing images in approximately 10 seconds at 4MP resolution. It supports multiple aspect ratios including 1:1, 16:9, 9:16, 4:3, and 3:4, making it adaptable for different creative and commercial formats. FLUX.2 [turbo] is well-suited for graphic designers, visual marketers, and developers integrating image generation into applications via API.
Unknown
10,000 context
N/A output
Text-to-Image Generation
High-Resolution Output
Flexible Aspect Ratios
Seed Control
Style Selection
Fast Generation Speed
Model Overview
High-signal model metadata in a structured two-column overview table.
Provider
The entity that provides this model.
Blackforestlabs
Input Context Window
The number of tokens supported by the input context window.
10,000
tokens
Maximum Output Tokens
The number of tokens that can be generated by the model in a single request.
N/A
tokens
Open Source
Whether the model's code is available for public use.
No
Release Date
When the model was first released.
Unknown
Knowledge Cut-off Date
When the model's knowledge was last updated.
Unknown
API Providers
The providers that offer this model. This is not an exhaustive list.
Hugging Face
Modalities
Types of data this model can process.
Image
Text
What is FLUX.2 [turbo]
A fuller summary of positioning, capabilities, and source-specific details for FLUX.2 [turbo].
FLUX.2 [turbo] is an image generation model developed by Black Forest Labs, designed to convert text descriptions into images across a wide range of styles including photorealistic scenes, illustrations, concept art, and character design. The model supports resolutions up to 2K and 4MP output, with a context window of 10,000 tokens for prompt input. It accepts select and seed inputs, giving users control over style options and reproducibility of results.
The model is positioned for workflows where generation speed is a priority, producing images in approximately 10 seconds at 4MP resolution. It supports multiple aspect ratios including 1:1, 16:9, 9:16, 4:3, and 3:4, making it adaptable for different creative and commercial formats. FLUX.2 [turbo] is well-suited for graphic designers, visual marketers, and developers integrating image generation into applications via API.
Capabilities
What FLUX.2 [turbo] supports
High-Resolution Output
Generates images up to 2K resolution and 4MP, with a 4MP image produced in approximately 10 seconds.
Flexible Aspect Ratios
Supports multiple aspect ratios including 1:1, 16:9, 9:16, 4:3, and 3:4 to accommodate different layout and format requirements.
Seed Control
Accepts a seed input that allows users to reproduce specific image outputs consistently across generation runs.
Style Selection
Includes a select input for choosing from predefined style or configuration options at generation time.
Fast Generation Speed
Optimized for turbo-speed output, delivering a 4MP image in roughly 10 seconds to support high-throughput creative workflows.
API Integration
Available via API for developers building image generation into applications, with Black Forest Labs providing official access through their platform.
Pricing for FLUX.2 [turbo]
Primary API pricing shown in the same “quick compare” spirit as the reference page.
Input tokens
N/A
Per million tokens
Output tokens
N/A
Per million tokens
API Access & Providers
Places where this model is available, based on the synced detail-page metadata.
Hugging Face
Configuration & Parameters
The configurable options currently documented for this model.
Size
SelectThe size of the generated image in pixels (width*height).
Seed
SeedThe random seed to use for the generation. -1 means a random seed will be used.
Supported Request Parameters
Parameters currently listed by OpenRouter or the local catalog for this model.
Resources & Documentation
Official model cards, release notes, docs, and other references synced from the source page.
Community discussion
What people think about FLUX.2 [turbo]
FLUX.2 [turbo] discussions are most active in r/SECourses, r/StableDiffusion, r/AI_Late_to_Class. The strongest match in this snapshot has 546 upvotes and 226 comments.
**Download from here :** [**https://www.patreon.com/posts/114517862**](https://www.patreon.com/posts/114517862)
I strongly believe the team's decision to release the Turbo version of their model first was a stroke of genius. If you think about it, it’s an unusual move. Typically, an AI lab drops the heavy Base model first, and then weeks or months later, the Turbo or Lightning version follows. We could argue that Black Forest Labs (BFL) tried to do both by launching Flux Schnell alongside Dev and Pro, but that felt different—Schnell was treated more like a side dish than the main course.
Flux 2 Dev **should have been the talk of the town this week**. Instead, its hype was immediately killed by the release of Z-Image Turbo (ZIT). And rightfully so. You simply can't ignore the insane speed-to-quality ratio when comparing the two.
Flux 2 is obviously the bigger model and packs superior raw quality, but it takes an eternity to generate an image. I think we would be seeing a completely different narrative if they had released the Z-Image Base model first. Realistically, the Base model would likely need 20–40 steps and high CFG to produce good results, effectively quadrupling the generation time. We’d be talking about 40–80 seconds per generation instead of the snappy 10–20 seconds we get with ZIT. In that timeline, I don’t think the hype for Flux 2 would have died anywhere near as quickly.
Conversely, imagine if a "Flux 2 Turbo" had dropped first—something capable of 8 steps and 30-second generations. We would be having a very different conversation right now, and this sub would be flooded with posts praising its balance of speed and fidelity.
If you release **Base first**, people say: "Wow, it's beautiful, but it runs like a potato. I'll wait for the quant/distillation." => The hype is dampened by hardware requirements. This is exactly what happened when Flux2 was released.
If you release **Turbo first**, people say: "Holy cow, this is blazing fast and looks great! I wonder how insane the Base model will be?" => The hype is fueled by curiosity.
Moving forward, I believe this will be the new standard: A**lways release the Turbo version before the Base.** Sharing your thoughts on this matter is much appreciated.
FAQ
Common questions about FLUX.2 [turbo]
What is the context window for FLUX.2 [turbo]?
FLUX.2 [turbo] has a context window of 10,000 tokens, which determines the maximum length of the text prompt you can provide for image generation.
What image resolutions does FLUX.2 [turbo] support?
The model supports output up to 2K resolution and 4MP images. A 4MP image can be generated in approximately 10 seconds.
What aspect ratios are available?
FLUX.2 [turbo] supports 1:1, 16:9, 9:16, 4:3, and 3:4 aspect ratios, allowing flexibility for different creative and commercial use cases.
What input types does FLUX.2 [turbo] accept?
The model accepts two input types: select, for choosing style or configuration options, and seed, which allows you to set a value for reproducible image outputs.
Is there a training data cutoff date for FLUX.2 [turbo]?
The metadata for FLUX.2 [turbo] does not specify a training data cutoff date. For details on training data, refer to Black Forest Labs' official documentation.
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