pytorch-neural-style-transfer

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Would it be possible to use this or a similar library to - instead of transferring a style to another image - build an ML model that learns the style characteristics (color, shapes, objects, etc) of a collection of inputs (e.g., N number of similar art pieces by a particular artist) which can then be used to output Y number of unique generative images? In other words, the algo transfers the style from the physical to the digital as a set of configurable parameters for generating art. This would allow non-technical artists to enter the generative space.

You can use Stable Diffusion and train a LoRA (Low-RANK) for such purpose.