Lockin scikit-learn version and estimators version

Dear, thank again for Your wonderfull job; I have this problem:

1) time ago, I fit thousands models with flaml (environment scikit-learn version 1.0.2, xgboost some few version older)
2) saving model with pickle (as suggested in flaml documentation)
3) upgrade scikit-learn 1.0.2 -> 1.2.0 (for conda suggest/performance)
4) upgrade xgboost to latest version (for conda suggest/performance)
5) upgrade flaml to 1.1.1 (for the new models , replacing the olds one)

now when I load back with pickle the old models i have blocking errors:
ERROR 1) : scikit-learn version mismatch -process stop
ERROR 2) : xgboost version mismatch--process stop

is there workarounds to solve this kind of versions lockin?

Thanks in advance and waiting Your kindly reply.

luigi