  In this paper, we study the homogenization of the distribution-dependent
stochastic abstract fluid models by combining the $two\!-\!scale$ convergence
and martingale representative approach. A general framework of the
homogenization research is established for stochastic abstract fluid models,
which is the type of genuine-nonlinear partial differential equations including
the (distribution-dependent) stochastic Navier-Stokes equations, stochastic
magneto-hydrodynamic equations, stochastic Boussinesq equations, stochastic
micropolar equations, stochastic Allen-Cahn equations.
