higgsfield-seedance

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Rewrites scene descriptions using professional cinematography language, structures prompts with a six-slot formula (camera + subject + action + setting + style + lighting), and diagnoses content filter rejections via a preflight linter. Use whenever the user asks for a Seedance 2.0 / Seedance Pro prompt, describes a scene for Seedance generation, mentions Seedance, reports a Seedance generation failure or flagged prompt, or is burning credits on Seedance regenerations.

AI & Automation 637 stars 112 forks Updated 1 months ago MIT

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Skill Content

# Higgsfield Seedance Director ## QUICK FACTS *Generated-checked block (scripts/build_index.py verifies anchors). Read the linked sections for full context — these lines are routing aids, not the rules themselves.* - The filter is an LLM reading full-scene intent, not a keyword blacklist — describe a SCENE, not a subject; fix the voice first [→](#the-filter-model-read-this-first) - Instant fail (<10s) = filter rejection; delayed fail (>30s) = infra/complexity — never regenerate an instant fail unchanged [→](#instant-fail-vs-delayed-fail-the-diagnostic) - Six slots, in order: Camera + Subject + Action + Setting + Style + Lighting; missing 3+ slots is where flags come from [→](#the-seedance-prompt-formula) - Empirical prompt-craft laws: 50–80-word attention sweet spot (front-load the load-bearing element), name a director/lens not "cinematic", "fast" degrades motion, no negative prompts in the body, unidirectional motion chains + named camera endpoint + detail scale follows shot size [→](#prompt-craft-laws) - Five prompt modes: Reference-Based / Continuation / Expand Shot / Edit Shot / Transformation — pick the mode before writing [→](#seedance-20-prompt-modes) - [OFFICIAL] block scaffold for production prompts: SCENE CONTEXT → … → POSITIVE LOCKS, distributed style on standalone briefs (connected shotlists glue the compiled Style Prefix verbatim instead), FOV in degrees only, CAMERA block 3rd, cut ladder oner / CUT n / timed / freestyle [→](#official-prompt-architecture-the-bl...

Details

Author
OSideMedia
Repository
OSideMedia/higgsfield-ai-prompt-skill
Created
6 months ago
Last Updated
1 months ago
Language
Python
License
MIT

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