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is there a way to start with an existing model (XML file) and run the trainer in a way that would just _add_ my images to it?

no. to re-train it you would need the original faces (+your images) and the temporal stage cascades from the previous training.

many of the common faces I work with do _not_ get detected properly

there are a lot of alternatives to using haar cascades here, most of them more robust (like cnn based ones) or faster (e.g. pico)

we have an example for retraining / finetuning the dnn based detector here

is there a way to start with an existing model (XML file) and run the trainer in a way that would just _add_ my images to it?

no. to re-train it you would need the original faces (+your images) and the temporal stage cascades from the previous training.training. (you would chop off a few stages at the bottom, and retrain those with your refined data)

many of the common faces I work with do _not_ get detected properly

there are a lot of alternatives to using haar cascades here, most of them more robust (like cnn based ones) or faster (e.g. pico)

we have an example for retraining / finetuning the dnn based detector here