Your question is Generative Models: Supervised vs Unsupervised. Take a moment with it on the right.
Talk me through your thinking if you like. When you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes).
You are comparing different ways to train generative models and want to explain when labels matter versus when they do not.
What are the differences between supervised and unsupervised learning in the context of generative models?