Higgsfield prompting

Higgsfield Prompting Playbook

1. MCSLA Formula (universal)

Every Higgsfield prompt benefits from these five concentric layers, in order:

Layer	Question	Example
M Motion	What moves?	"the bartender slides a glass across the counter"
C Camera	How does the lens move?	"crane_up + dolly_in" (DoP verbs)
S Subject	Who/what is the focal point?	"a noir-era bartender in mid-thirties, scar under left eye"
L Lighting	What kind of light, from where?	"single tungsten bulb above, hard rim from window left"
A Aesthetic	What is the emotional / style register?	"1940s Hollywood noir, high contrast, slight bloom"

Compose in this order; the platform's Soul models tokenise Motion + Camera first, then resolve Subject inside the implied Lighting + Aesthetic frame.

2. DoP Camera Verb Cheatsheet (22 verbs)

Verb	Use when
dolly_in	Push closer to subject (heighten intimacy / suspense)
dolly_out	Pull back to reveal context
crane_up	Rise above scene (god-view, reveal)
crane_down	Descend onto subject (introduce / land into action)
orbit	Circle subject (showcase 360°, build awe)
crash_zoom	Snap zoom-in (reactive, comedic, jolt)
bullet_time	Frozen-orbit (Matrix; iconic)
fpv_drone	First-person drone weave (action / sports)
handheld	Naturalistic, slight wobble (documentary / vérité)
whip_pan	Fast horizontal sweep (energy transition)
tilt_up / tilt_down	Vertical reveal
pan_left / pan_right	Horizontal reveal
arc	Arc move (parallax + reveal)
truck	Sideways tracking (parallel to action)
pedestal	Vertical lift without tilt (architectural)
rack_focus	Shift focal plane between foreground / background
vertigo_effect	Dolly-zoom (Hitchcock — anxiety / dread)
static	No camera motion (composition is the statement)
low_angle / high_angle	Static angle modifiers

Best practice: combine ≤2 verbs per shot. More than 2 collapses into incoherent motion.

3. Cinema Studio 3.5 Lens Dictionary

Field	Typical Values	Effect
focalLengthMm	14, 24, 35, 50, 85, 135	Wide → tele (compression)
apertureFStop	1.4, 1.8, 2.0, 2.8, 5.6, 8	Shallow → deep DOF
sensorSize	full-frame, super35, apsc, m43, imax	Sensor crop + look
colorGrading	teal-orange, bleach-bypass, noir, pastel, vibrant, plus free-form	Era / mood
lensId	e.g. arri-master-prime-35mm, cooke-s4-50mm, zeiss-master-anamorphic-50mm	Specific lens character

Recipe for "Sundance indie drama":

{ "focalLengthMm": 35, "apertureFStop": 2.0, "sensorSize": "super35", "colorGrading": "bleach-bypass" }

Recipe for "Wes Anderson symmetry":

{ "focalLengthMm": 35, "apertureFStop": 8, "sensorSize": "full-frame", "colorGrading": "pastel", "lensId": "cooke-s4-35mm" }

4. Soul ID Lifecycle Best Practices

1. Train once per character — pick 3-7 source images covering frontal, 3/4, profile, varied expression. Training is 250 credits ($9.75 on Plus).
2. Name aggressively — character name is the lookup key. Use unique distinguishing names: not "Sarah" but "Sarah Nguyen, lead reporter".
3. Mark used after every successful generation — media_higgsfield_soul_id markUsed updates the LRU.
4. Audit periodically — media_higgsfield_soul_id list shows training cost + last_used; archive IDs unused >90 days.
5. One Soul ID per project character — do NOT train multiple IDs for the same character; consistency degrades.

5. Marketing Studio Template Decision Tree

Caller intent	Template	Best for
Show product in use	lifestyle	Casual / aspirational
Open the box, reveal item	unboxing	E-commerce, hype
Hard-sell with VO	tv-spot	DTC brand launches
Showcase texture/material	asmr	Beauty, food, fabric
Lateral motion + product flips	hyper-motion	Sneakers, gadgets, drinks
Customer talks to camera	testimonial	Trust building
Influencer-style POV	ugc	Social commerce
Pros vs cons walkthrough	product-review	Tech, comparison
Short looped beats	reel	Reels, TikTok, Shorts

Always include a clean productUrl — the platform crawls product imagery from it.

6. Mode → Tool Map

Mode requested	Use tool
Pure t2v with aesthetic preset	media_higgsfield_soul_id (to fetch ID) + provider generate
i2v with camera motion	media_higgsfield_dop
Cinematic lens control	media_higgsfield_cinema_studio
Talking head (photo + audio)	media_higgsfield_speak
Product UGC	media_higgsfield_marketing_studio
Swap character in existing video	media_higgsfield_recast
Score a candidate	media_higgsfield_virality_predictor