A.s. convergence of densities implies convergence in distribution?

By Scheffé's lemma, the almost everywhere convergence of densities implies the convergence of the corresponding measures in total variation, see, for instance, Theorem 1.27 here. Of course, convergence in total variation is stronger than convergence in distribution, for example see Example 1.28.