Generative artificial intelligence makes it possible to produce visual content quickly, with a level of cost efficiency that is difficult to match with traditional methods. In marketing, however, speed alone is not enough: when an image must represent a real product, its packaging, or distinctive brand elements, the decisive factor becomes accuracy. These are areas where quality standards remain high and non-negotiable.

General-purpose models, by their very nature, tend to simplify or reinterpret specific details, producing visually convincing outputs that are not always faithful to reality.

To address this critical issue, Creostudios has adopted a model-specialization approach based on Low-Rank Adaptation (LoRA) techniques and related variants (LoCon, LoHa, LoKr). These are lightweight modules applied to existing generative models, enabling the introduction of targeted knowledge about objects, shapes, and recurring characteristics. As a result, the model becomes more “aware” of what it needs to represent, improving consistency and precision in details—without requiring the development of a proprietary model from scratch.

Within Creostudios, the Innovation and 3D teams work continuously on these tools to build a replicable operational workflow focused on quality control and visual compliance. The goal is to integrate generative AI into creative processes while maintaining high standards and reducing the uncertainty typical of non-specialized generations.