Apolo

Dianthus, a leader in scaling Direct-to-Consumer (D2C) brands, faced a significant challenge in the creation of unique visual marketing assets for ecommerce product marketing. The process was cumbersome and manual, making it difficult to generate assets suitable for social sharing. The proposed solution was to develop a sophisticated AI computer-vision system capable of generating unique photographs, including computer-generated human or animal models against naturalistic backgrounds, that also incorporated the D2C product. However, creating believable AI-generated product shots with digital influencers required a unique machine learning and data pipeline that incorporated multiple processes such as background generation, identity generation, 3D rendering, human positioning, product positioning, and harmonization of all elements. The pipeline also needed to allow for results to progress through various stages of refinement to deliver a finished photo result that was attractive and natural-looking enough to share on social media.