Details make all the difference! 
Ah that first post has been updated a lot since then, mostly due to the awesome back-and-forth I’ve had with @Klaudioz to make things clearer and clearer from the rather scarce info there in the beginning.
Ok sorry you did ask that and I answered as part of another question, let me try be clearer. Side note: it’s misleading because banana only has an “init” and “inference” stage, and we’re actually performing training (and not inference) in the second stage, but we still have to call it “inference”, and that’s confusing.
In short, when you’re doing training, no images are returned. Just the fine-tuned model is uploaded to your destination of choice. You should then deploy that fine-tuned model to a different container (that’s the using your fine-tuned model section of the “first look” post) and use exactly how you usually would with the regular SD model. Open to suggestions on how I can make this clearer.
In other news… did you enjoy Return to Monkey Island as much as I did? 