Modelia

Modelia is an artificial intelligence-powered tool primarily designed for transforming various types of fashion imagery, such as converting flat lay clothing or ghost mannequin images into dynamic visuals of models wearing the attires. Modelia also allows for a model-to-model transformation to match different campaign aesthetics. The tool allows users to effortlessly customize the model's age, ethnicity, gender and facial expression, and the image's background to align with a campaign theme. It supports back dressing and incorporates a wide variety of clothes and features such as logo, text, color preservation into the transformations.

Modelia works in several stages. First, it transforms flat lay clothing images into stunning visuals with models wearing the attire. It can also convert ghost mannequin images into dynamic visuals featuring models dressed in the displayed outfits. Another key feature is the model-to-model transformation, which allows for swapping one model for another to match a campaign’s aesthetic or demographic requirements. Modelia allows users to tailor the age, gender, and ethnicity of their models, providing increased inclusivity. It also supports adjusting facial expressions and customizes the background of images to align with campaign themes.

Modelia transforms flat lay clothing images using its AI-powered platform. It takes 2D images of clothing items and converts them into dynamic visuals of models wearing those clothes. It can handle a variety of clothes, including shirts, hoodies, sweaters, blouses, polos, jackets, coats, dresses, overalls, underwear, swimwear, and kid’s clothing. Features such as logos, texts, colors, and patterns are preserved during the transformation.

The model-to-model transformation feature in Modelia allows users to seamlessly swap one model for another to match a specific campaign’s aesthetic or demographic needs. This ensures visual content reflects the diversity of the intended target audience.

Yes, Modelia can adjust the age, ethnicity, and gender of models. These attributes can be tailored with precision, enhancing the personalization and inclusivity aspect of the generated content.