A beginner's guide to the Flux-2-Pro model by Black-Forest-Labs on Replicate

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This is a simplified guide to an AI model called Flux-2-Pro maintained by Black-Forest-Labs. If you like these kinds of analysis, you should join AImodels.fyi or follow us on Twitter.

Model overview

flux-2-pro is a high-quality image generation and editing model from black-forest-labs that supports up to eight reference images as input. The model combines text-to-image generation with sophisticated image-to-image capabilities, making it suitable for both creating new images from descriptions and refining existing ones. Compared to flux-2-flex, which supports ten reference images and prioritizes maximum quality, flux-2-pro offers a balanced approach to performance and fidelity. It also builds on the foundation of earlier models like flux-pro, which established the standard for prompt following and visual quality in text-to-image generation.

Model inputs and outputs

The model accepts a text prompt along with optional reference images and outputs a single generated image. Input parameters control the aspect ratio, resolution, dimensions, output format, and quality of the final result. The model can match input image dimensions or generate custom sizes, providing flexibility for different creative workflows.

Inputs

Prompt: Text description of the image to generate or edit
Input Images: Up to eight reference images for image-to-image generation (supports JPEG, PNG, GIF, and WebP)
Aspect Ratio: Predefined ratios including 1:1, 16:9, 3:2, or custom dimensions
Resolution: Output resolution from 0.5 to 4 megapixels
Height and Width: Custom dimensions when using custom aspect ratio mode
Output Format: Choice of WebP, JPG, or PNG
Output Quality: Quality level from 0 to 100
Safety Tolerance: Strictness level from 1 to 5
Seed: Optional value for reproducible results