Seedance 2.0: The Complete Guide

The complete Seedance 2.0 hub — setup, prompts, settings, camera movement, consistent characters, use cases, and model comparisons.

Seedance 2.0 is one of the most capable AI video models available in 2026, and this hub collects every Seedance tutorial on the site. It covers first-time setup, pricing, core settings (resolution, motion intensity, export formats), prompt techniques, use-case-specific workflows (marketing videos, YouTube Shorts, product ads, anime, talking heads), and head-to-head comparisons against Sora 2, Kling, and Veo 3.

If you are brand new to Seedance, start with the beginner tutorial and setup guide. If you are refining output quality, jump to the prompt techniques and motion intensity sections. If you are evaluating Seedance against other video models, use the comparison posts at the bottom.

Every tutorial is written from hands-on testing inside the Dreamina interface — not generic AI video advice. The workflows are the ones that have produced reliable, repeatable output in real content pipelines.

Key takeaways

  • Seedance 2.0 weights the earlier parts of a prompt more heavily — put subject, motion, and camera direction in the first 15 words.
  • Motion intensity 40-60 produces natural movement for most scenes; under 30 reads as static, over 75 introduces warping and artefacts.
  • For consistent characters across multiple clips, reference images beat text description alone — it is the single biggest reliability fix.
  • Seedance outperforms Sora 2 on prompt adherence but trails on raw photorealism; it outperforms Kling on camera movement fidelity.
  • Generate at draft resolution first, iterate the prompt, then re-render at full quality — it saves credits and time.

Getting Started

Settings and Technical Controls

Prompt Techniques

Use Cases

Consistency and Troubleshooting

Comparisons