German AI company Black Forest Labs has unveiled its latest image generation model, FLUX 3 Image, promising high-resolution 4K outputs with remarkable detail even when zoomed in. This new model, built upon the FLUX 3 base, emphasizes exceptional controllability and fine-grained editing capabilities.
Precise Element Placement
A standout feature of FLUX 3 Image is its ability to allow users to precisely control the placement of AI-generated elements within an image. Users can assign specific IDs, descriptive text, and exact bounding boxes (formatted as [y_min, x_min, y_max, x_max]) to each element on a normalized 0–1000 coordinate grid. This granular control ensures that AI-generated components appear exactly where intended in the final composition.
Incorporating Reference Images
The model also supports the integration of up to 10 reference images in a single generation process. Crucially, users can specify the exact location for objects derived from each of these reference images, providing a powerful tool for recreating specific scenes or incorporating known elements into new creations.
Pixel-Level Editing and Iteration
When it comes to editing, FLUX 3 Image offers sophisticated capabilities. The model can modify designated areas of an image while leaving other pixels untouched, preserving the original content at a pixel level. This enables precise, multi-round editing workflows, allowing creators to refine their images iteratively without degrading quality.
Availability
Currently, FLUX 3 Image is available as a paid service from Black Forest Labs. The company has announced plans to release an open-source version of the model within the coming weeks, which will likely broaden its accessibility to a wider range of users and developers.
The introduction of FLUX 3 Image marks a significant step forward in AI-powered image generation, offering unprecedented control and detail for creative professionals and enthusiasts alike. Its ability to handle high resolutions and complex element placement is expected to be a game-changer for various applications, from digital art to content creation.
