Skip to content
cccskills

Results for “facs”

3 skills · sorted by relevance

Controls facial expressions in Seedance 2.0 with FACS (Facial Action Coding System) Action Unit codes — muscle-level direction (AU12 = lip-corner puller, AU6 = cheek raiser) instead of emotion labels. Use whenever the user wants precise facial acting, a forced/uncanny/mixed expression, micro-performance in a close-up, monologue or dialogue facial beats, a 'which AU code for anger/fear/disgust' answer, or to generate a FACS reference sheet for a character. Pairs with higgsfield-soul Micro-Expressions (named expressions), higgsfield-audio (dialogue + lip-sync), and higgsfield-gpt-image-2 (the reference-sheet image).

The English summary is being prepared. Showing the original description.

OSideMedia/higgsfield-ai-prompt-skill761Updated Sep 27, 2026

Use facs gating viz style for data analysis workflows that need structured execution, explicit assumptions, and clear output boundaries.

The English summary is being prepared. Showing the original description.

aipoch/medical-research-skills2KUpdated Sep 17, 2026

Writes the character-performance layer of a video prompt as behavior under pressure, not displayed emotion — objective, obstacle, tactics, beats, subtext, listening, body/status/proxemics, and mandatory eye life. Produces a reusable 150–220-word acting master profile per character plus a per-scene rewrite of it, and a locked voice prompt. Use whenever a prompt needs acting, performance, or emotion direction; whenever characters read wooden, dead-eyed, or 'AI'; whenever a character must stay themselves across many shots; or when the user asks for character behavior, mannerisms, tics, a gait, or how someone reacts. Pairs with higgsfield-facs (muscle-level AU codes) and higgsfield-seedance (the prompt the paragraph goes into).

The English summary is being prepared. Showing the original description.

OSideMedia/higgsfield-ai-prompt-skill761Updated Sep 27, 2026