higgsfield-soul

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Creates and manages reusable character profiles (Soul IDs) for consistent facial and stylistic identity across multiple image and video generations. Provides identity-vs-motion prompt separation, character sheet creation workflows, micro-expression direction, and Soul Cast AI actor configuration. Use when the user wants to maintain character consistency across multiple generations, asks about Soul ID, creating reusable characters, or generating consistent people across different scenes and shots.

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

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Skill Content

# Higgsfield Soul ID — Character Consistency ## 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.* - Hard rule: every Soul ID prompt splits into Identity Block (static descriptors only) + Motion Block (temporal/camera only) [→](#identity-vs-motion-separation-hard-rule) - Don't re-describe the face or core features — only describe what differs from the base character [→](#prompting-with-soul-id) - Reference image rules: front or 3/4 angle, even lighting, neutral-to-slight expression, no blur, solo subject [→](#creating-a-strong-soul-id-reference) - Reference generators: Soul 2.0 (fashion-forward), Nano Banana Pro (max sharpness), Seedream 4.5 (style range) [→](#creating-a-strong-soul-id-reference) - Character sheet angles: front face, 3/4, side profile, optional full body + optional embedded prop sheets [→](#character-sheet-creation) - Two-image floor per character: one clear face + one full body, on neutral grey — never a single image [→](#character-sheet-creation) - Prefer the single-prompt 3×2 six-panel sheet (one 16:9 generation) — identity locks better than multi-step assembly [→](#single-prompt-6-panel-character-sheet-32-grid) - Outfit change without identity drift: split-panel sheet — ghost-mannequin outfit LEFT + "face matches input 100%" close-up RIGHT [→](#split-panel-outfit-change-sheet-ghost-mannequin-identity-panel) - Crowds: a single-...

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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