Meet SD 2.0 — Our Best Video Model Yet. Start creating 🎬 →

Seedance 2.0 Guide

Seedance 2.0 is worth testing when your workflow depends on references, continuity, and whether one output can feed the next step cleanly.

When Seedance matters most

  • reference-conditioned generation
  • repeated subject or character carry-over
  • multi-shot continuation
  • outputs that need to stay usable in the next step

If you only need isolated one-shot experiments, it is usually the wrong thing to optimize around.

What to test first

Start with one real job, not a vague benchmark:

  • keep one character coherent across two to three shots
  • preserve one visual style while changing framing
  • continue one scene without resetting the visual logic

What to judge

Do not judge only from one pretty clip. Judge:

  • how well references control the result
  • how much rework is still needed
  • whether the output can feed the next shot
  • whether retries stay near the target

Common evaluation mistakes

  • changing prompts and assets at the same time
  • ignoring carry-over behavior
  • treating hype as production evidence
  • comparing different jobs and calling it fair

Next move

If your process is reference-heavy and continuity-sensitive, Seedance deserves a real workflow test. If not, lower-friction options may matter more than model novelty.

Create Your Own Anime Shorts

Share your vision, and AI brings your characters and scenes to video.