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wan-3-promptinglisted

Use when writing or fixing prompts for Wan 3.0 video generation (Alibaba), via any API route - multi-clip film scripts, reference-to-video with real people, or when generated scenes come out illogical (objects that refuse to disappear, actions that get skipped, the wrong person speaking). Encodes the official Alibaba prompt rules, the API surface that actually exists, and the failure modes already paid for.
raphaelbgr/ai-video-prompting · ★ 0 · AI & Automation · score 70
Install: claude install-skill raphaelbgr/ai-video-prompting
# Wan 3.0 prompting Researched against primary sources (Alibaba Model Studio official prompt guide, Runware Wan 3.0 API docs, the Wan 3.0 prompt guide, and a provider OpenAPI schema read directly). Background write-up with the full citation trail: [`docs/wan-3-research.md`](../../docs/wan-3-research.md). `[NV]` = not verified — confirm before relying on it. --- ## 1. The five rules that break scenes Every illogical scene traces back to one of these. They are **documented behaviour**, not bad luck. 1. **No state change inside a shot.** Alibaba is explicit: *"cuts happen BETWEEN clips, not within"*. An object that disappears, clothing that tears, lights that switch — each must become a **cut**. (Cost: two paid generations on a necklace that refused to leave a neck.) 2. **One action beat per shot.** *"Keep actions simple and short."* A 5s clip cannot do "sprints + vaults a planter + shoulders through a door". Two beats = two clips. 3. **Label speakers, never pronouns.** With two people on screen, "He says" makes the model guess. Use `[Man in the black tuxedo, firm]: "..."`. 4. **Address references by identifier.** The model binds `Image1` / `Image2` written in the prompt text to the uploaded reference array. Natural language ("the man from the first reference") is measurably weaker. 5. **Name the camera explicitly.** The default behaviour is a gentle drift. A locked frame requires the literal words `static, locked-off`. Also documented as unreliabl