black-forest-labs/flux-kontext-max/text-to-image

FLUX.1 Kontext [max] text-to-image is a new premium model brings maximum performance across all aspects greatly improved prompt adherence.

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black-forest-labs/flux-kontext-max/text-to-image
text-to-image

FLUX.1 Kontext [max] text-to-image is a new premium model brings maximum performance across all aspects greatly improved prompt adherence.

FLUX.1-Kontext-Max

FLUX.1 Kontext is a state-of-the-art image editing model by Black Forest Labs that lets you edit images using text prompts. It makes editing intuitive by understanding the relationship between visuals and language. You can make precise changes to objects, scenes, and layout — all without disrupting the composition.

FLUX.1-Kontext-max/text-to-image is a new premium model that brings maximum performance across all aspects – greatly improved prompt adherence.

Key Features

  • Context-Aware Editing: Intelligent understanding of text semantics for precise modifications that preserve natural aesthetics.
  • Lightning Fast: Optimized neural architecture delivers professional results in seconds for real-time workflows.
  • Precision Control: Granular control over transformations with intuitive parameters and fine-tuning capabilities.
  • SOTA Quality: State-of-the-art results surpassing existing models across all quality benchmarks.

Use Cases

  • Concept Art: Create characters, environments, and moodboards directly from text prompts for films, games, or animation.
  • Virtual Characters: Design original characters or avatars for social media, storytelling, or digital experiences.
  • Marketing Visuals: Generate branded content, ad mockups, or promotional visuals from campaign keywords.
  • Educational Illustrations: Produce visual teaching materials like historical scenes, scientific diagrams, and infographics.

Specifications in Depth

Overview:

Model Provider:BLACK FOREST LABS
Model Type:text-to-image
Deployment:Inferencing API; Playground
Pricing:$0.08/pic

Key Specs:

Size Cap:up to width × height (user-configurable)
LoRA Support:No
Seed Options:N/A

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