higgsfield-prompt

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Use when building, writing, refining, or structuring a Higgsfield AI prompt. Covers the MCSLA formula, prompt structure, narrative vs. timestamped formats, and how to write for both text-to-video and image-to-video workflows.

AI & Automation 530 stars 96 forks Updated 2 weeks ago MIT

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Skill Content

# Higgsfield Prompt Engineering ## 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.* - MCSLA = Model, Camera, Subject, Look, Action — the five layers of every prompt [→](#the-mcsla-formula) - I2V: describe ONLY what moves or changes, never what's already in the image [→](#image-to-video-i2v) - Keep prompts under 200 words — **short-form MCSLA regime only**; block-scaffold production prompts replace the cap with structural lint (HARD RULE 8 carve-out); Cinema Studio has a hard 512-character cap [→](#high-performing-prompt-patterns) - 1 primary action per clip, 1–2 secondary max; Fast Motion Trick: render in Slow Mo, speed up in post [→](#one-action-per-scene) - Never leave a generic emotion ("sad"/"angry") in a prompt — decompose into muscle movements, breath, eyes, skin [→](#generic-emotion-decomposition-which-kind-of-x) - Soul ID / recurring characters: split every prompt into Identity Block + Motion Block — never mix them [→](#identity-vs-motion-separation-rule) - Conflict order when sub-skills disagree: explicit user direction > scene archetype > emotion-sync [→](#conflict-resolution-between-sub-skills) - Aspect ratio is a per-model enum set in the UI/header, never in the prompt body — verify via `../../specs/model-specs.yaml` [→](#common-prompt-mistakes) - Never combine Dolly In + Dolly Out in one shot; @ Elements for static scenes, plain tex...

Details

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

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