Practical Tips for Seedance Video Generation
dotey · x · 2026-07-15
Based on multiple projects, this is a practical summary of Seedance video generation. The core takeaway: flashy prompts found online aren't very helpful. What works is breaking prompts down into a few clear modules and relying heavily on reference images rather than long text.
The author recommends structuring video prompts into four parts: Subject (generate a character reference via image-to-image and reuse it), Scene (upload a scene image, ideally containing the main character to control scale), Music (avoid generating BGM; generate specific sound effects instead to not interfere with post-production), and Camera (use concise language for framing and action; no long descriptions needed).
Additional best practices: don't waste time on fancy storyboards; longer prompts aren't better, and repeating subject/scene info is pointless; don't blindly trust timestamp annotations, as the model is more sensitive to the number of shots; and don't obsess over "clarity"—focus on controllability and post-production usability.
More from coding & agent
- Cursor publishes a strong deep dive on agent swarms for coding workflows — Sam_Witteveen · 2026-07-21
- A deleted NanoGPT PR still propagated into later world-record submissions — yacineMTB · 2026-07-21
- Soft Clamp cuts tool-call overuse in multi-teacher distillation, from 13.7% to 9.0% — antgroup · 2026-07-21
- Agent harness memory loss and compaction are still a major usability problem — adityaag · 2026-07-21
- SpecJudge runs locally on Ollama to pick the right-sized AI model for your project — jokiruiz · 2026-07-21
- A developer maps out six design rules for CLIs that humans and AI agents can both use — yujiezha · 2026-07-21