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FLUX 2 MAX

Per Request:$0.008
FLUX.2 [max] is a top-tier visual-intelligence model from Black Forest Labs (BFL) designed for production workflows: marketing, product photography, e-commerce, creative pipelines, and any application that requires consistent character/product identity, accurate text rendering, and photoreal detail at multi-megapixel resolutions. The architecture is engineered for strong prompt-following, multi-reference fusion (up to ten input images), and grounded generation (ability to incorporate up-to-date web context when producing images).
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flux-pro-finetuned

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flux-pro-finetuned

Per Request:$0.072
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flux-pro-1.1-ultra-finetuned

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flux-pro-1.1-ultra-finetuned

Per Request:$0.096
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flux-pro-1.1-ultra

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flux-pro-1.1-ultra

Per Request:$0.072
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flux-pro-1.1

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flux-pro-1.1

Per Request:$0.048
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flux-pro-1.0-fill-finetuned

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flux-pro-1.0-fill-finetuned

Per Request:$0.096
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flux-pro-1.0-fill

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flux-pro-1.0-fill

Per Request:$0.06
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flux-pro-1.0-depth-finetuned

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flux-pro-1.0-depth-finetuned

Per Request:$0.096
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flux-pro-1.0-depth

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flux-pro-1.0-depth

Per Request:$0.06
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flux-pro-1.0-canny-finetuned

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flux-pro-1.0-canny-finetuned

Per Request:$0.096
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flux-pro-1.0-canny

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flux-pro-1.0-canny

Per Request:$0.06
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flux-pro

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flux-pro

Per Request:$0.048
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flux-kontext-pro

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flux-kontext-pro

Per Request:$0.048
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flux-kontext-max

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flux-kontext-max

Per Request:$0.096
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flux-finetune

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flux-finetune

Per Request:$0.048
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flux-dev

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flux-dev

Per Request:$0.03
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FLUX 2 PRO

Per Request:$0.008
FLUX 2 PRO is the flagship commercial model in the FLUX 2 series, delivering state-of-the-art image generation with unprecedented quality and detail. Built for professional and enterprise applications, it offers superior prompt adherence, photorealistic outputs, and exceptional artistic capabilities. This model represents the cutting edge of AI image synthesis technology.
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FLUX 2 FLEX

Per Request:$0.008
FLUX 2 FLEX is the versatile, adaptable model designed for flexible deployment across various use cases and hardware configurations. It offers scalable performance with adjustable quality settings, making it ideal for applications requiring dynamic resource allocation. This model provides the best balance between quality, speed, and resource efficiency.