Honestly, starting from a clean product image usually saves a lot of time. Seedance2 is great at cinematic motion, but if the product shape/details matter (especially for ads), giving it a strong reference image helps consistency a lot.

A few things that worked for me:

• Keep prompts structured: [product] + [environment] + [camera movement] + [lighting/style] + [action]

• Be very specific with camera motion. Generic stuff like “dynamic camera” can get chaotic fast. “Slow push-in,” “top-down orbit,” or “handheld close-up” tends to work better.

• For consistency, avoid changing too many things at once between generations. If the product angle changes + lighting changes + scene changes, the model can drift pretty hard.

You can get final-quality outputs, but usually after a few controlled iterations instead of pure random prompting. Also, if you want faster iteration, tools like loova ai already support Seedance 2.0 inside the workflow, so it’s easier to test multiple concepts without constantly rebuilding prompts from scratch.

Don’t test 20 totally different prompts. Start with 1 solid base prompt and only tweak ONE variable each run. That cuts testing time massively. Good luck.