not really. fine tuning generally just involves running tailored training data through the model - the actual training algorithm is fairly generalized. For exa

not really. fine tuning generally just involves running tailored training data through the model - the actual training algorithm is fairly generalized. For example, the Dreambooth fine tuning algorithm was originally designed for Google's image, but was quickly applied to Stable Diffusion.