FLUX.2 is a powerful image editing solution for fast, professional-grade transformations with precise color and pose control.
FLUX.2 API Overview
FLUX.2 is a high-speed image editing model designed for professional-grade transformations without compromising quality. It supports multi-reference image editing, allowing combinations of multiple input images with efficient architecture for rapid, precise, and natural language-driven edits.
Technical Specifications
Output Resolution: Up to 4 megapixels (e.g., 2048x2048 and beyond)
Input Resolution: Minimum 64x64 pixels
Multi-Reference Capability: Supports up to 10 input images simultaneously for compositional coherence
Architecture: Latent flow matching combined with a large 24B-parameter vision-language model (Mistral-3) and rectified flow transformer for robust spatial and material property understanding
Control Features: Adjustable inference steps and guidance scales for balancing speed, quality, and creativity; support for hex color codes and pose control for exact visual editing
Performance Benchmarks
Generates edits significantly faster than heavier image editing models, supporting tight production schedules
Maintains high fidelity, rendering fine image details like fabrics, faces, hands, logos, and small objects that other models may miss
Key Features
Multi-Reference Editing: Maintain consistent characters, products, or styles across up to 10 images, ideal for ad variants, fashion editorials, or product mockups
High-Resolution, Realistic Details: Captures textures, lighting, and subtle objects with photorealistic quality
Natural Language Edits: Precise image modifications controlled by natural language prompts without needing manual masking or layering
Professional Typography: Reliable and precise text manipulation within images suitable for marketing and branding needs
FLUX.2 API Pricing
$0.0126 per Megapixel (1 MP input + N MP output).
Use Cases
Creative content production for advertising, including image variants with consistent branding
E-commerce product visualization with accurate color and style replication
Graphic design workflows that require precise text layout and typography edits
Interior and architectural visualizations with realistic material rendering
Media production needing rapid iterations for style transfer, inpainting, and compositing
Code Sample
Comparison with Other Models
vs Stable Diffusion: FLUX.2 prioritizes rapid, user-friendly editing with less technical complexity but with excellent multi-image referencing and branding capabilities. Stable Diffusion may require stronger hardware, whereas FLUX.2 is optimized for lower computational overhead.
vs Runway Gen 2: FLUX.2 specializes in static image editing with rapid multi-reference and color control capabilities. Runway Gen 2 is preferred for multimedia projects and complex generative workflows, whereas FLUX.2 provides focused, efficient image edit cycles.
vs DALL·E: FLUX.2 is specialized for high-speed, natural language-driven image editing with control over multiple references and exact color matching. FLUX.2 suits workflows needing iterative edits and brand consistency better than DALL·E’s more freeform generation approach.