1. A method for artifact generation by one or more computing devices of a generative system, the method comprising: receiving, by the generative system, a request from a user to generate a new artifact from a proprietary artifact, the request comprising one or more input parameters; determining, by the generative system, whether the user has usage rights for the proprietary artifact; determining, by the generative system, whether the one or more input parameters comply with one or more conditions in an artifact self-executing code corresponding to the proprietary artifact; collecting, by the generative system, at least one public artifact, the at least one public artifact being accessible from a public domain; training, by the generative system, the content model in a first training based on the at least one of public artifact, the first training being unsupervised; determining, by the generative system, the content model can be trained based on the proprietary artifact by processing the artifact self-executing code and verifying that the one or more conditions in the artifact self-executing code corresponding to the proprietary artifact permit the training based on the proprietary artifact; training, by the generative system, the content model in a second training based on the propriety artifact, the second training being supervised based on the processing of the artifact self-executing code; and applying, by the generative system, the content model to the proprietary artifact and the one or more input parameters to generate the new artifact based at least in part on a determination that the user has the usage rights for the proprietary artifact and a determination that the one or more input parameters comply with the one or more conditions in the artifact self-executing code.