We address the problem of designing optimal quantizers for distributed source coding. The generality of our formulation includes both the symmetric and asymmetric scenarios, together with a number of coding schemes, such as the ideal coding achieving a rate equal to the joint conditional entropy of the quantized sources given the side information. We show the optimality conditions quantizers must satisfy, and generalize the Lloyd algorithm for its design. Experimental results are shown for the Gaussian scalar asymmetric case.