If you priors pertain to things in the parameters block then no Jacobian adjustment is needed. Conversely, if your priors pertain to something not in the parameters block, then a Jacobian adjustment is needed unless it is constant in which case you don’t need it for inference but would need it for things like Bayes Factors.