Flux.1 Kontext Max Description

Black Forest Labs' FLUX.1 Kontext Max is an experimental AI model for precision image generation and editing. With advanced rectified flow architecture, it delivers maximum performance for professional creative workflows requiring superior quality and consistency.

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‍Technical Specification

Performance Benchmarks

FLUX.1 Kontext Max is optimized for maximum fidelity image generation and surgical editing capabilities.

• Generation Speed: 10-12 seconds per image
• Architecture: Generative flow matching model with sequence concatenation and double stream blocks

• API Pricing:
  • $0.084 per generation

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Performance Metrics

FLUX models (shown in purple) consistently achieve top performance with ELO ratings often exceeding 1100, demonstrating the strong capabilities of the Flux.1 Kontext model family in various image generation and editing benchmarks.

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Key Capabilities

FLUX.1 Kontext Max delivers unprecedented precision for complex visual content creation workflows.

• Maximum Performance: Enhanced compute allocation for improved prompt adherence and typography generation compared to Pro and Dev variants
• Character Consistency: Superior preservation of facial features and object identity across different environments using AuraFace embeddings
• Surgical Editing: Localized modifications to specific elements while preserving surrounding image integrity
• Typography Control: Exceptional text generation and replacement capabilities with precise font style retention
• Iterative Refinement: Step-by-step editing with minimal quality degradation across editing sequences

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Optimal Use Cases

• Professional Creative Work: High-end marketing materials, brand assets, and commercial photography requiring maximum quality
• Long-form Content: Extended narratives, storyboards, and multi-scene presentations with consistent visual elements
• Brand Management: Product placement across multiple contexts with perfect integration and lighting adaptation
• Typography-Heavy Projects: Marketing assets, signage updates, and text-based visual communications
• Character-Driven Storytelling: Maintaining protagonist identity across diverse scenes and environments for narrative consistency

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Code Samples

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Parameters

• prompt [str]: The text prompt describing the content, style, or composition of the image to be generated.
• num_images [int]: The number of images to generate
• seed [int]: The random seed for image generation
• aspect_ratio [ 21:9, 16:9, 4:3, 3:2, 1:1, 2:3, 3:4, 9:16, 9:21 ]: The aspect ratio for the image
• guidance_scale [1-20]: The CFG (Classifier Free Guidance) scale is a measure of how close you want the model to stick to your prompt when looking for a related image to show you.
• safety_tolerance [1-6]: The safety tolerance level for the generated image. 1 being the most strict and 5 being the most permissive.

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Comparison with Other Models

• Vs. FLUX.1 Kontext Pro: Higher compute allocation for improved quality, slower generation (10-12s vs 8-10s), optimized for maximum fidelity over speed.
• Vs. ByteDance BAGEL: 4x faster generation speed (10-12s vs 40s), superior character consistency and text preservation
• Vs. OpenAI GPT-4o Image: Better character preservation and prompt adherence, faster inference (10-12s vs 30s), higher cost

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Licensing

Flux.1 Kontext Max is available under a commercial license that allows both commercial and non-commercial usage rights while ensuring compliance with ethical standards.

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API Integration

Accessible via AI/ML API. Documentation: available here.