Seedance 2.0 Cinematic AI Video Prompt Professional Edition
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Follow https://skillhub.cn/install/skillhub.md to install @user_2df7b78c/seedance2-prompt-expert.
About this skill
Problem
Seedance 2.0 prompts often fail because of unstable prompt structure: too many abstract terms, conflicting instructions, overloaded motion, unclear foreground/midground/background, and physically implausible camera or lighting cues. This leads to face drift, messy camerawork, audio-video mismatch, garbled text, or lip-sync failure.
How It Works
The skill turns prompt engineering into executable checks:
- Four-layer assembly: builds prompts through L1 technical layer, L2 spatial layer, L3 lighting layer, and L4 motion layer, covering aspect ratio, frame rate, duration, depth, light sources, and a single motion strategy.
- Templates and diagnostics: includes T1-T8 scenario templates for e-commerce, sci-fi, food, sports, Chinese classical aesthetics, and more; the diagnostic table maps symptoms such as face drift, flickering light, or blur to fixes.
- Anti-pattern filtering: detects abstract wording, conflicting instructions, three or more motion terms, and physics violations, while reducing false positives from compound terms.
- Boundary warnings: flags high-risk cases such as duration, lip sync, complex text, fluids, and high-speed motion, leaving room for post-production or voiceover fallback.
Scope
It is best used as a Seedance 2.0 prompt generation and review tool, converting scene descriptions into structured, reviewable prompts. Complex text, lip sync, fluid physics, and fast motion remain model-limited, so use reference assets, simplify motion, and reserve retries or post-production.
Use Cases
- E-commerce teams producing product videos: use the T1 template to generate a white-background, spotlight, steady-rotation Seedance 2.0 prompt.
- Video creators debugging failures: use the face-drift or camera-chaos diagnostic table, then add a character reference or a single steady motion.
- Creative teams preparing multimodal prompts: generate bindings for @image, @video, and @audio while keeping the protagonist consistent.
- Reviewers checking capability limits: inspect duration, text, fluids, and high-speed motion to reduce lip-sync or garbled-text risk.
Best For
- E-commerce video operators who need stable shot language from product selling points
- Video creators repeatedly facing face drift or chaotic camera work who want prompt troubleshooting
- Creative producers for ads, MVs, or short dramas who need image/audio binding and aspect-ratio control
- Content engineers who batch-generate and validate Seedance 2.0 prompts via Python CLI or API
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