Setting prior for Dirichlet Model

How can I set distinct priors for each distributional parameter in a dirichlet model in BRMS?

Here is my code

model <- brm(outcome ~ 1, data = d, family = dirichlet(refcat = 'c'))

where d is a dataframe containing variables ‘a’, ‘b’, and ‘c’.

If I use

p <- c(prior_string("student_t(1, 2, 3)", class='Intercept'))

I am able to set the priors for both the a and b distributional parameters. How can I set each one individually?

Thank you!

Found the answer… it is at the following link: