FLUX.2 [turbo]
FLUX.2 [turbo] is a text-to-image generation model from Black Forest Labs designed for fast, high-quality image output.
Fast image generation from text prompts
FLUX.2 [turbo] is a text-to-image generation model developed by Black Forest Labs and served through the Wavespeed provider on MindStudio. It is part of the FLUX model family and is specifically optimized for speed, making it suited for workflows where rapid image generation is a priority. The model accepts text prompts alongside configurable width, height, and seed inputs, giving users control over output dimensions and reproducibility.
At $0.01 per image, FLUX.2 [turbo] is positioned as a cost-accessible option for generating images at scale. It supports a context window of up to 10,000 tokens, allowing for detailed and descriptive text prompts. The model is well-suited for applications such as rapid prototyping of visual concepts, content creation pipelines, and any use case that requires consistent, repeatable image outputs through seed control.
What FLUX.2 [turbo] supports
Text-to-Image Generation
Generates images from natural language text prompts with a context window of up to 10,000 tokens, enabling detailed prompt descriptions.
Custom Image Dimensions
Accepts explicit width and height inputs as numbers, allowing users to specify exact output image dimensions for each generation.
Seed Control
Supports a seed input that enables reproducible image outputs, so the same prompt and seed combination produces consistent results.
High-Speed Generation
The turbo variant of FLUX.2 is optimized for reduced generation latency compared to standard FLUX.2 configurations.
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Get Started FreeCommon questions about FLUX.2 [turbo]
How much does FLUX.2 [turbo] cost to use?
FLUX.2 [turbo] is priced at $0.01 per image generated.
What is the context window for FLUX.2 [turbo]?
The model supports a context window of 10,000 tokens, which applies to the text prompt input.
Can I control the size of the generated images?
Yes. The model accepts explicit width and height values as numeric inputs, so you can specify the desired output dimensions for each image.
Does FLUX.2 [turbo] support reproducible outputs?
Yes. The model includes a seed input parameter. Using the same seed with the same prompt and settings will produce consistent, reproducible image results.
Who developed FLUX.2 [turbo] and who provides it on MindStudio?
FLUX.2 [turbo] was developed by Black Forest Labs. On MindStudio, it is served through the Wavespeed provider.
What people think about FLUX.2 [turbo]
Community discussion around the Z-Image turbo release on r/StableDiffusion generated significant engagement, with 553 upvotes and 226 comments indicating strong interest in the decision to release a turbo variant ahead of the base model. Users generally viewed this release strategy as notable, with the thread title framing it as a deliberate and effective move.
The discussion reflects broader community interest in fast image generation models and the strategic sequencing of model releases. No specific technical limitations or failure cases were highlighted in the available thread metadata.
Documentation & links
Parameters & options
The random seed to use for the generation. -1 means a random seed will be used.
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