In this paper, we report the development of a publicly available software suite, af2rave, which implements the AlphaFold2-RAVE pipeline. This software development effort aims to integrate the tools required for AlphaFold2-RAVE while providing a user-friendly interface. In three systems, we will illustrate how the full pipeline, or parts of it, can be used to generate important conformational states and facilitate sampling. We will pick E. coli adenosine kinase (ADK) and human DDR1 kinase as the first two examples. These systems have well-studied alternative states and empirical collective variables (CVs) to describe these conformation changes. Different states of DDR1 are characterized by loop motions and residue rotamers, whereas in ADK the conformation changes involves rotational motions of multiple domains. The af2rave package successfully generated meaningful alternative struc-tures for both systems without the need to hand pick any CV. Then, we will show af2rave can generate ensembles covering all their relevant conformational states. The third system we will show is the receptor-binding domain (RBD) of the SARS-CoV-2 spike protein. A published 1.8 ms-long MD simulation allows us to benchmark af2rave's sampling capability, demonstrating that it can achieve a similar level of coverage with only 1 µs of simulation, with more than 1000x fold efficiency.