Answer
When working with Diffusion Models, start with a clear goal, test on real data early, keep the approach as simple as possible at first, and follow established practices from the AI community rather than guessing.
Real-world example Diffusion models power many modern AI art tools that turn a text description into a detailed, realistic image.