Imported from osidemedia/higgsfield-ai-prompt-skill (
skills/higgsfield-seedance/SKILL.md). Install upstream withnpx skills add osidemedia/higgsfield-ai-prompt-skill --skill higgsfield-seedance. Copyright stays with the author.
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 →
- Instant fail (<10s) = filter rejection; delayed fail (>30s) = infra/complexity — never regenerate an instant fail unchanged →
- Six slots, in order: Camera + Subject + Action + Setting + Style + Lighting; missing 3+ slots is where flags come from →
- 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 →
- Five prompt modes: Reference-Based / Continuation / Expand Shot / Edit Shot / Transformation — pick the mode before writing →
- [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 →
- [FIELD] 13-project corpus calibration: word length scales with register (218w → 2,059w medians — the 50–80w sweet spot is single-shot-only), video briefs hand-authored (
enhance_promptoff), Style Prefix = per-project constant compiled into home blocks → - [FIELD] Three "helpful-instinct" drift sources, each with a standing lock: environment invention (#1, above character drift), character-height equalization, scale drift on wides →
- Build-safe construction for crowds/destruction/creatures: evacuated cities, contained fights ("stays at the sea surface"), the safe benchmark scene →
- Extend an existing clip: attach it as a video reference + open with "The scene continues." — match source resolution AND duration; chain cap ~2 (hard 3), then re-anchor from ORIGINAL references →
- This file is Seedance 2.0. For 2.5 — four modes incl.
video_edit/video_extension, 4–30s, 30/10/10 references, in-prompt first-last frames, 720p ceiling — use../higgsfield-seedance-2-5/SKILL.md - Tutorial-demonstrated patterns (reference-role vocabulary incl. VARIETY reference, SCREEN REALISM + duration-match composites, 60:30:10 grade, red-arrow prop annotation):
PRODUCTION-PATTERNS.mdin this directory - [OFFICIAL] Feature-film pipeline (asset construction, per-scene GEO SPATIAL LAYOUT, the position-fixing first second, dialogue construction, ban dictionary, the 10–15 iteration rule, crowds / giants / thresholds):
HELL-GRIND.mdin this directory - Performance — objective, obstacle, tactics, beats, subtext, eye life, the acting master profile:
../higgsfield-acting/SKILL.md - Hard engine rules (age-blind, exit-frame = cut, off-screen = nonexistent, no reflections, ≤3 tracked characters, double-contrast cuts) + high-risk shot table:
ENGINE-RULES.mdin this directory - Reference roles: Character / Last-Frame / Environment / Prop — role determines what the prompt may re-describe →
- Working modes: Exploration / Continuation / Bridging / Repair (distinct from prompt modes) →
- Layer 1 briefing vs Layer 2 production prompt — never paste Layer 1 into the prompt box →
- Native 4K is available in
mode=stdonly;mode=fast(Seedance 2.0 Fast) caps at 480p/720p — in Cinema Studio the model is still capped at 1080p → - Always preflight:
python3 scripts/seedance_lint.py --preflight --model seedance_2_0 "<prompt>"— enums come from../../specs/model-specs.json(fast+1080p/4K and Kling 21:9 are auto-caught) → - 480p drafts validate the prompt, NOT the take — no seed param; pin Hero Frame + start/end frames to carry a look →
- ZH prompts: hard 1,800-char cap; ZH antislop list enforced by the linter →
- Flagged prompt → rewrite playbook per linter rule, then voice pass →
- Repeated flags → full loop-breaker procedure + LOG THE OUTCOME (
--confirmed/add-quality) →
Use this skill whenever the user wants a Seedance 2.0 / Seedance Pro prompt, OR whenever a Seedance generation has been blocked, flagged, or silently failed. This skill's job is to stop credit waste on filter rejections.
Engine rules (read with this file): the hard rendering constraints of the Seedance 2.0 engine — age-blind characters, exit-frame = implicit cut, off-screen = nonexistent, no reflection shots, ≤3 tracked characters, the double-contrast cut rule — live in
ENGINE-RULES.mdin this directory, together with the high-risk shot table (reflections, same-character doubles, crowds, text rendering) and its mitigations. This SKILL.md is theEN-directorprofile of that rule core; theZH-houseandbilingual-JSONprofiles (../../docs/Seedance 2 Skill.md) obey the same core. Flag high-risk shot types at authoring time — never silently break a rule the project's hero image happens to conflict with.
Production patterns (sibling reference): patterns demonstrated working in Higgsfield's own Seedance-4K film tutorial — reference-role vocabulary, coordinate blocking, video-reference screen composites, prompted imperfection, 60:30:10 grade — live in
PRODUCTION-PATTERNS.mdin this directory, labeled[DEMO].
The Filter Model — Read This First
Seedance 2.0's content filter is not a keyword blacklist. It is a language model that reads the full prompt as a single scene and judges intent and context. Most users burn hours swapping individual words — that loop does not work.
The filter compares two things:
- A prompt that reads like a filmmaker describing a shot → tends to pass.
- A prompt that reads like a note to a friend → tends to fail.
A word that looks sensitive in isolation can sit inside a well-constructed cinematic prompt without issue — the filter reads the full picture. A prompt with no picture to read (no setting, no visual purpose, no narrative logic) gives the filter nothing to work with, and it errs on the side of caution.
Practical rule: the prompt must describe a scene, not a subject. Fix the voice first, then fix the words.
Instant Fail vs. Delayed Fail — the Diagnostic
This single heuristic saves time on every failure:
| Failure timing | Meaning | What to do |
|---|---|---|
| < 10 seconds (instant) | Content filter rejection — prompt never reached the GPU | Rewrite for voice + remove risk tokens. Do not regenerate unchanged. |
| > 30 seconds (delayed) | Infrastructure, timeout, or complexity — prompt passed the filter but the render failed | Simplify action density, cut length, try again |
If the user is seeing instant fails in a loop, it is a filter issue — never a GPU issue. Stop them from regenerating before the rewrite.
The Seedance Prompt Formula
Every Seedance prompt should hit these six slots, in this order:
[Camera movement] + [Subject] + [Action] + [Setting] + [Style] + [Lighting]
All six are technically optional — but a prompt that includes all six almost never gets flagged, because the filter has full context to interpret every word. A prompt missing 3+ slots is where flags come from.
Minimum viable Seedance prompt
Slow dolly-in on a figure in a dark overcoat standing alone at the end of a rain-slick alley. Cold teal shadows, single practical streetlamp, shallow depth of field.
Camera ✓ Subject ✓ Action ✓ Setting ✓ Style ✓ Lighting ✓ — all six slots, ~30 words, passes the filter because the scene is fully legible.
Prompt-Craft Laws
A set of Seedance-2.0-specific prompt rules. These are empirical —
practitioner A/B findings that are plausible given the architecture but are
not in the official model spec. Treat them as strong heuristics and let the
repo's iteration discipline (../higgsfield-prompt/SKILL.md § The Iteration
Rule) confirm them on your own material, rather than as guaranteed model
behavior.
Length and order — the attention model
Seedance reads the prompt left-to-right with diminishing attention weight. The first sentence carries the most influence; by the third sentence you are in "detail territory," where the model stops treating elements as primary instructions and starts sampling them diffusely.
- Sweet spot: 50–80 words (short-form regime). A 70-word prompt reliably outperforms a structurally identical 200-word version of the same scene — more words past ~3 sentences buys diffusion, not control. (Block-scaffold production prompts are the other regime: § Official Prompt Architecture.)
- Structure in three sentences: ① subject + action, ② camera + style, ③ constraints / positive locks.
- Lead with the single most load-bearing element. When a shot lives on its subject, the subject opens the prompt; when it lives on a camera move, the move opens it.
Relationship to the two length numbers. This 50–80-word figure is the coherence optimum. The >180-word figure in § Pre-flight Linter is a different axis — the filter/encoder risk ceiling (>220 often hard-fails the text encoder). 50–80 is where to sit; ~180 is where it starts to break. They don't conflict.
Relationship to the six-slot formula. The six slots guarantee the filter sees a complete scene (presence). The attention model governs weight (order
- length). Keep all six slots present, but the slot list's camera-first ordering is a completeness checklist, not a mandate to open with the camera word when the shot's identity is the subject.
Name the thing — kill empty adjectives
cinematic, epic, beautiful, high quality, amazing are high-frequency
labels attached to an enormous range of training footage — dark thrillers,
bright rom-coms, nature docs all read as "cinematic" — so the model samples a
broad, diffuse distribution and they move the output toward nothing in
particular. Don't just delete the slop word (Voice Rewrite §6) — substitute a
named, narrowly-trained referent:
| Empty adjective | Named substitute (samples a narrow distribution) |
|---|---|
| "cinematic" / "epic look" | a director: "Wes Anderson symmetry" (centered framing, pastel) · "Kubrick one-point perspective" (geometric corridors) |
| "cinematic lighting" | a lighting setup: "golden-hour backlight, long shadows stretching forward" |
| "beautiful" / "high quality" | a lens spec: "anamorphic 2.39:1, lens flare from a practical light source" |
Positive form of ../higgsfield-prompt/SKILL.md § Anti-Slop Vocabulary.
Official override on director names. Higgsfield's own prompt-writing skill forbids director names, signature-work references, and equipment model names outright (see § Official Prompt Architecture — the Block Scaffold → Measurable-language rules). The director-substitute trick above is an empirical short-form fallback; in block-scaffold prompts, describe the look in observable terms instead — "centered symmetrical framing, pastel palette", not "Wes Anderson symmetry".
"fast" is the highest-degradation keyword
Combined with complex action or camera movement, fast is the single
worst-degrading keyword. The temporal branch already runs multiple high-velocity
calculations when motion is layered; fast asks all of them to run at maximum
velocity at once. Two competing fast elements jitter; three compound into error
that's hard to salvage.
Fix: describe the physics, not the speed. feet striking hard, each stride at full extension, arms pumping at 90 degrees produces the perception of speed
with no degradation. One element can carry speed — just not all of them
simultaneously. (Same family as Voice Rewrite §3 — describe physics, not
emotion.)
No negative prompts in the prompt body
Seedance has no negative-embedding architecture for the prompt text — every
token is read as a positive instruction. negative: jitter, bent limbs gets
parsed as scene description the model tries to render (noise), not as a
constraint, and makes the output worse.
Use positive constraint statements — direct declarations of what must be true:
Face stable. Limbs anatomically natural. Consistent lighting, no flicker.
Body proportions consistent throughout.
Scope: this is about the Seedance prompt body, and the target is
negative: list syntax / bare negation lists — not every "no" token. A short
lock tail inside a positive declaration ("Consistent lighting, no flicker";
the Style Prefix's "Photorealistic — no 3D render") is fine and field-proven
across the harvest corpus. It does not override the Higgsfield UI's
dedicated negative-prompt field (which some image models expose and
../../vocab.md § Composition Vocabulary uses). The same positive-only
requirement is already documented for Cinema Studio 3.0 in
../shared/negative-constraints.md.
Ambiguous verbs — the homograph trap (v1.10, Peter's find 2026-07-14)
If a word has a plausible second reading, Seedance may take it. The observed case: "wind tearing at her coat" — meant as fabric pulled violently; the model sometimes reads tearing as ripping (fabric shredding) or tearing up (crying), and the shot changes accordingly. This is not covered by any known prompt guide — treat it as a first-class law:
Before a verb ships, ask: is there a second physical thing this word can look like? If yes, replace it with the phrasing only ONE thing can look like.
wind tearing at her coat→wind whipping violently at her coat/her coat flutters violently in the wind- Seed homograph list (grow it whenever a generation misreads a word): tearing (rip / cry) · shoot (fire / film) · duck (crouch / bird) · bolt (run / lightning / hardware) · draw (pull / sketch / weapon) · wave (hand / ocean) · charge (run at / electricity) · rock (sway / stone) · drop (fall / droplet) · fire (flame / shoot / dismiss) · strike (hit / match / lightning) · break (shatter / pause / dawn) · pound (hammer / heartbeat) · snap (break / photo / fingers).
- The list is a seed, not the rule — the rule is the self-check, which generalizes to any word forever.
Community v3 cherry-picks (Joey drop, audited 2026-07-14)
Adopted (genuinely absent from this skill until now):
- Camera on the shadow side, with a stated operator axis. Place the camera on the shadow side of the key light and say where the operator stands/moves — light wraps toward the lens and faces keep dimension.
- Detail-on-wide ("snake cam"). 84° low-angle placed hard against a small foreground object — detail-shot intimacy without losing the wide's context.
- Intimate wide. 63–84° on a close face instead of a long lens — presence without compression; the room stays in the frame.
- Prompt-reset heuristic. When iterations are getting worse, stop stacking fixes: strip the prompt back to subject + action + camera and re-add only what's necessary. Density is a bell curve; past the peak you can't tell which element the model dropped.
- Canonical-over-plate. Every subject keeps its own identity reference even when it is visible in the environment plate — the plate carries the world, the canonical ref carries identity; never let a plate double as an identity source.
- Contrast curve stated three ways. When the grade matters, state it as tonal curve + specular removal + named grade — one phrasing alone drifts.
Rejected (was: flagged, test day pending): their worldbuilder puts the camera
block at the BOTTOM ("at the top FOV fights identity data") — this contradicts
both this skill's CAMERA-3rd-position rule and their own seedance skill.
Resolved 2026-07-26 by field evidence instead of a test day [FIELD — 13-project community harvest]: across ~4,000 harvested production prompts from 9 creators,
the CAMERA block sits mid-document in every final prompt — never at the bottom.
CAMERA-3rd stands; the bottom-position claim is dropped.
Motion-prompt laws (dramaclaw production corpus, audited 2026-08-09)
[EMPIRICAL — dramaclaw production corpus, Seedance] — practitioner findings
earned in dramaclaw's Seedance production work. The craft is model-agnostic
i2v motion-writing rather than a Seedance spec; same epistemic status as the
rest of this section (strong heuristics — confirm on your own material).
- Unidirectional motion only. A short action that finishes early leaves
the model with seconds of clip to fill, and it fills them by reversing
the action — the character walks forward then steps back, leans in then
pulls away. Chain 2–3 connected actions in the same direction so the
motion spends the whole clip; a deliberate there-and-back is two shots,
never one prompt. (Failure face:
FAILURE-MODES.md§ Action-reversal fill.) - Name the camera endpoint. A camera move needs a destination, not just a name — say what the frame shows when the move finishes ("slow dolly-in, ending on her hands wrapped around the cup"), not only the move's name. A move that runs out of instruction before it runs out of clip drifts or reverses — the camera face of the unidirectional law.
- Detail scale follows shot size. Close-ups earn micro-detail (fingers tightening, a jaw flex); wides earn broad arcs (crossing the courtyard, the crowd parting). Cross-matching — micro-detail written into a wide, or a broad traversal written into a close-up — is unrenderable at that shot size and degrades the whole clip. (Detail inside a wide is a composition problem, not a prompt-detail problem — see the snake-cam cherry-pick above.)
Already-covered siblings (cross-links, not new rules)
- Compound camera move (
dolly in while panning left) → jitter at the transition because the model executes the two vectors in sequence. Use one primary move + one texture modifier (slow dolly in, slightly handheld). Full treatment:FAILURE-MODES.md§ Multi-motion camera overload. - Image-to-video subject drift → re-describing what's already in the source
image gives the model two competing inputs for one subject; reconciliation
introduces drift. Keep an I2V prompt to motion + camera only. See
§ Seedance 2.0 Prompt Modes / Reference-Based and
../higgsfield-prompt/SKILL.md(I2V key rule).
Official Prompt Architecture — the Block Scaffold
[OFFICIAL — Higgsfield prompt-writter.skill, 2026-07] — Higgsfield ships
its own Seedance 2.0 prompt-writing skill with the Seedance-4K release. This
section is that doctrine, reconciled with the rest of this file. Where the
two disagree, the official rule wins inside block-scaffold prompts; the
empirical rules elsewhere in this skill remain the short-form regime.
Two regimes, not a contradiction. The six-slot formula and the
50–80-word sweet spot (§ Prompt-Craft Laws) govern short-form single shots.
The block scaffold is the production regime — multi-shot, reference-heavy,
high-control work — where structure replaces the word cap: write densely
where control matters, sparsely where it does not, and say each important
thing once. The pre-flight linter detects this regime automatically (canonical
block labels / shot markers) and suspends the short-form word caps — force it
with --regime block if detection misses — while every structural lint rule
(shot counts, beat sums, handle declarations, enum checks) still applies in
full. Likewise, the Voice Rewrite instruction
to put a Style & Mood clause up front is the short-form filter pass — in a
block prompt the filter gets its full scene from SCENE CONTEXT, LOCATION MAP,
and LIGHTING instead, and style is distributed (below).
Block order
Write blocks in this order, using only the blocks the shot needs:
SCENE CONTEXT
ACTIVE REFERENCES
LOCATION MAP
FIRST FRAME / BLOCKING
FORMAT MODE
OPTICS
CAMERA
ACTION
PERFORMANCE (when acting matters)
PHYSICS
LIGHTING
COLOR GRADE (when the grade is strong / stylized)
WARDROBE (when costume matters)
AUDIO
STYLE (technical-style suffix)
OUTPUT SETTINGS (when format must be pinned)
POSITIVE LOCKS
Logic: context and references first, then space and timing, then action and physics, then descriptive style in its home positions, then a technical suffix, locks last. A naturalistic single take may drop COLOR GRADE, WARDROBE, and OUTPUT SETTINGS entirely and fold those notes into LOCATION MAP / LIGHTING.
Distributed style — the standalone-block rule
In a standalone block-scaffold prompt there is no style-prefix block at the top; the prompt always opens on SCENE CONTEXT. Each style aspect lives in the block that governs it: light → LIGHTING; color → COLOR GRADE, or folded into LOCATION MAP + LIGHTING for a naturalistic look; lens / optical character → OPTICS; skin realism and acting → PERFORMANCE; format / grain / fps → the STYLE + OUTPUT SETTINGS suffix just before POSITIVE LOCKS. Descriptive style sits in the body next to what it describes; technical style sits as the end suffix; nothing style-related opens the prompt.
Connected-shotlist carve-out [FIELD — 13-project harvest]: in a
multi-scene shotlist project, the field-proven shape is the opposite — a
per-project compiled Style Prefix glued verbatim to the top of every scene
prompt (edit once → changes everywhere), then the scene body. Consistency
across 25 separately-generated scenes outweighs distributed elegance there.
That regime is owned by ../higgsfield-shotlist-director/SKILL.md § Per-scene
prompt law and ../../templates/seedance/global-style-prefix.md; this
section governs standalone prompts only.
FOV anchors + the CAMERA-3rd-position rule
In prompt text, state field of view in degrees from these discrete anchors only — never millimeters, never in-between values (not "23°" — use 18° or 29°):
| FOV | mm equiv | Use |
|---|---|---|
| 180° | fisheye | spherical distortion — POV, dream-state |
| 107° | 14–16mm | architectural ultra-wide, epic establish |
| 84° | 20–24mm | wide — establish, group blocking |
| 63° | 28–35mm | observational, reportage |
| 47° | 40–50mm | neutral human perspective |
| 29° | 75–85mm | portrait compression, dialogue bust |
| 18° | 100–135mm | close portrait, identity-preserving |
| 12° | 180–200mm | tele-detail — hands, objects |
| 8° | 300–400mm | extreme compression, observation, broadcast |
In a multishot, set FOV per segment and add "no drift mid-segment".
Place the CAMERA block in the 3rd position of the prompt's core layers (subject → action → camera → style → constraints). Moved to the end, FOV gets ignored; moved to the front, it conflicts with identity.
Measurable-language rules
- Positive phrasing only — official confirmation of the empirical no-negative-prompts law (§ Prompt-Craft Laws).
- Speeds in km/h — "moves at 40 km/h", not "fast" (which is also the highest-degradation keyword, § Prompt-Craft Laws).
- Atmosphere in % / meters — "fog density 40%", "haze visible at 15 meters"; build it in steps across shots (20% → 40% → 60%).
- Giant scale via human-height comparison — "as tall as four humans stacked head to toe", not "huge" or "three meters".
- Left/right is always from the camera.
- Emotion through muscle movement, not labels — same rule as Voice
Rewrite §3; the muscle-level extreme is
../higgsfield-facs/SKILL.md. - White balance in Kelvin, fixed within a scene: 3200K / 4000K / 5600K / 8500K.
- Masses and sizes in real units for physics
[FIELD]— the PHYSICS block writes weights in so gravity reads correctly:"the spider is 10–12 centimeters, 50–70 grams — it falls gently; the man is 70–80 kg — the drop lands hard."Material behavior gets the same treatment ("the liana stretches slightly under load and creaks like fibrous wood"). - Causal prop interaction
[FIELD]— objects never move on their own; every prop event needs a visible physical cause with event order:"the cup tips only from visible sleeve contact"·"a button press is a full mechanical event — contact, 2–3 mm of travel, click, spring-back; the screen lights only AFTER the click." - No director names, signature works, or equipment model names — they get ignored or break complex moves; describe the look instead. (Overrides the empirical director-substitute in § Prompt-Craft Laws for this regime.)
- English prompts only (for the historical ZH exception, see § Multi-Language Prompt Workarounds).
POSITIVE LOCKS
A lock is a short hard fixer placed next to what it protects —
"headlights stay glowing in every shot". The POSITIVE LOCKS block closes
the prompt: continuity (characters, props, environment identical across
cuts) plus a single positive restatement of critical info. This is where the
positive constraint statements from § Prompt-Craft Laws live in a block
prompt.
Three named "helpful-instinct" drift sources [FIELD — 13-project harvest] — the model's own instincts, each needing a standing lock:
- Environment invention — the #1 drift source, above character drift.
Whenever a location reference is attached, the model "helpfully" widens
rooms and adds furniture it wasn't shown; multiple creators called this
the single largest source of drift between clips. Standing lock:
"the set contains only what the reference shows — no added furniture, rooms, or geography beyond the reference", plus explicit absences where they matter ("nothing on the floor, nothing on the bed"). - Character-height equalization. With two people in frame the model
drifts toward equal heights. Write real heights into every prompt
with 2+ characters (
"she is 165 cm, he is 178 cm") so relative scale never floats. - Scale drift on wide shots. A human anchor shrinks to a speck across
cuts. Lock it:
"the girl stays the calm human-sized anchor — never shrunk to a tiny distant dot."
Cut-format ladder
Four precision levels — points on a scale, pick the one the shot needs:
- Oner —
"one continuous shot, the camera does not cut on its own." - Sequential cuts, no timecodes —
CUT 1 … CUT 2 … CUT 3, described in order, when cuts matter but exact timing doesn't. - Timed multishot — explicit cuts at stated seconds
(
1.0s HARD CUT), when beats must land on a clock. - Freestyle b-roll — don't lock cuts; let the model find angles.
Whenever cuts are specified (timed or not), add: "cuts only at the specified points, the camera does not cut on its own." Cut vocabulary:
HARD CUT, SMASH CUT, MATCH CUT, INSERT CUT, REVERSE CUT,
WHIP CUT; fades/crossfades only if explicitly requested. This ladder is
the resolution of the pick-a-side anti-pattern in § Output Format
(per-second labels inside an intended oner read as cut instructions), and
timed beats must still sum to the declared duration (4–15s) per the runtime
arithmetic there.
Tag naming + minimal reference text
- User-specified tags verbatim; otherwise load-order
@image1 @video1 @audio1— consistent with § Reference Roles → Per-Image Role Convention. - The
@TAG:reference line = role/build + current state + unique visible features + action-critical details + voice (only if it has a line) +"100% matches the reference". No age. The official skill's own template opened this line with an age token; engine rule 1 (ENGINE-RULES.md) forbids it in either language, and Higgsfield's feature-film brief gives the reason — the content filter tightens sharply the moment it reads a minor (HELL-GRIND.md§ Wording rules). Carry the same information through build, wear, and posture. - Keep reference character text minimal — long appearance text fights the image and degrades it (same mechanism as the I2V subject-drift rule in § Prompt-Craft Laws).
- State critical details in words anyway — small text, logos, colors — even when visible in the reference; the model can drop them.
- Never place an
@tagin a shot where that object is not present — the model will force it into frame.
Naming the tags themselves [FIELD — Higgsfield Studio, ONEIRIC breakdown, 2026-08-13]
The bullets above say what a tag line contains; on a project of any size the name needs
a convention too, and the rule behind it is one element, one name. Without it a project
grows duplicates — the same couch living under three names — and nobody can tell which
reference is the real one:
@loc_ON_dorm_commonroom_front_s2 type + project + name + [angle] + scene
@char_ON_Rudy_s2_v1 type + project + name + scene + version
@prop_ON_pizza type + project + name
- The scene suffix ties an asset to where it lives, so two dressings of one room, or two versions of a location across a time jump, cannot collide.
- The version suffix appears when a state changes — and a changed state is a new
asset with a new name, never an overwrite. One character in a dorm room and the same
character in a hospital bed are two assets of one man. The identity discipline behind
that split lives in
../higgsfield-soul/SKILL.md§ The Untouched Base; this bullet is only the naming half of it. - Tags are arbitrary strings, so mixed case is safe and consistency is the only rule.
Pair related names visibly (a location and its staging reference sharing a stem) so it
reads at a glance which assets belong together — see
../../templates/seedance/staging-reference.md§ Tag naming for the staging-side form.
Context isolation
Every generation is a blank slate with no memory of previous shots. Never carry in scene numbers, script headings, prior-scene summaries, unused tags or characters, or "as above / continues" phrasing. This is why the Continuation Prompt Formula (below) demands a verbatim identity re-paste rather than a reference back to the earlier prompt.
Special protocols
- 4-mechanism extreme-FOV multishot stack (8° / 107°): ① sequence-wide identity lock (single location reference across all beats), ② LENS LOCK opener — explicit FOV phrase starting each beat, ③ LENS CHECK closer confirming FOV at the end of each beat, ④ color via material + light, not a list. All four or extreme-FOV multishots break down after 2–3 beats.
- Whip-pan needs ≥0.8s of blur travel — under 0.8s it renders as a hard cut without blur (settled → 0.8s WHIP → settled).
- Mixed real-time / slow-mo: hard cuts only between speed modes; each shot is one speed start to finish.
- Anti-impact locks for cracks/breaks:
"crowd PRESSES, not strikes"·"fracture originates from edge stress, not center impact"·"no impact point — pressure-based crack"· sequential timing edge-to-center, not radial from a point. - Observation pattern (hidden-camera effect), all three at once: foreground occlusion over 20–30% of frame + atmospheric haze between camera and subject + distance vantage at 8–12°. Change the occlusion type between beats; keep the vantage single.
For these protocols applied on real footage — per-segment LENS LOCKs, timed
SMASH/MATCH cuts, screen composites — see PRODUCTION-PATTERNS.md in this
directory.
Field calibration — the 13-project production corpus
[FIELD — community harvest 2026-07-18: 13 shared Higgsfield projects, 9 creators, ~4,000 production prompts pulled via API with full params]. What
the corpus confirms and calibrates about the block scaffold:
- The scaffold holds platform-wide. Every project — photoreal adventure, K-drama romance, broadcast-TV drama, anime, stop-motion folklore — runs the same Style-Prefix-plus-Constraints-plus-variable-SHOT structure with the same block anatomy. "SHOT" markers appear in 95% of the flagship project's 1,240 Seedance prompts; 15s is the dominant duration (they generate long multi-shot clips and cut the best seconds).
- Word-length ladder by register. Median Seedance prompt length tracks register and ambition, not a fixed cap: tech-demo 218w → broadcast-TV drama 538w → commercial 779w → genre anthology 955w → adventure film 1,433w (p90 2,648) → stop-motion emotional drama 2,059w. The 50–80-word sweet spot (§ Prompt-Craft Laws) is single-shot doctrine; production multishot briefs live an order of magnitude above it. Length scales with performance complexity — never truncate a reaction arc to be neat.
- Register contracts the template. Photoreal keeps every block (PHYSICS
with real masses, pore-level PERFORMANCE); stylized work (anime,
stop-motion) drops PHYSICS/skin realism and keeps SHOT beats + continuity +
a hard medium lock. See
../higgsfield-style/SKILL.md§ Register Poles. - The Style Prefix is a per-project compiled constant. In connected
shotlist projects the corpus ships it verbatim at the top of every scene
prompt (the Style-Prefix-plus-Constraints-plus-SHOT structure in the
first bullet — that is the delivered form, not just an authoring note).
Standalone block prompts instead distribute those aspects into their
home blocks (§ Distributed style — the standalone-block rule). Which form
ships is decided by the workflow, not by taste — see
../higgsfield-shotlist-director/SKILL.md§ Per-scene prompt law. - Video prompts are hand-authored.
enhance_promptwas absent/off on every harvested Seedance job but ON for 1,022 image jobs — let the enhancer expand image prompts, never the video brief. - Platform-layer params observed on Seedance jobs (Higgsfield surface,
not necessarily the raw model API):
multi_shot_mode: "custom"(the timed multishot mode),genre: "auto",speedramp: "auto",mode: "std",bitrate_mode: "high",generate_audio: true, 21:9 at 4K. - Iteration economics (TESTS-first culture, 65–100 generations per kept
shot, five-bucket folder discipline):
../../production-benchmarks.md§ Community-corpus anchors.
Seedance 2.0 Prompt Modes
Seedance 2.0 exposes five generation modes that each take the six-slot formula but apply it to a different starting point. Picking the right mode is upstream of prompt writing — the same sentence will produce different results in different modes, because each mode reads the prompt as a different kind of instruction.
Reference-Based
The prompt builds a scene around a source image that carries the visual identity — character, wardrobe, palette, sometimes composition. The prompt's job is NOT to re-describe what the image already shows; it's to place the subject into a new action, setting, or motion context. This is the workhorse mode for any sequence that needs a consistent character across varied shots.
[Source image role: "as the main character" / "as the starting frame"].
[Action the subject performs]. [Environment and atmosphere if not visible in source].
[Camera movement]. [Lighting cue if different from source].
Continuation
The prompt extends a prior Seedance generation forward in time, picking up at the final frame of the previous clip. Identity, wardrobe, environment, and emotional state all carry over. The prompt should describe what happens NEXT — never what just happened. For the full five-rule construction pattern, see the Continuation Prompt Formula section directly below.
[Continuing from prior clip]. [New action that follows from the last frame].
[Camera direction for the continuation]. [Any state change — light shift, new beat].
Expand Shot
The prompt grows the canvas or spatial extent of an existing frame — pulling the frame boundaries outward to reveal what's beyond the original edges. This is NOT a time extension (that's Continuation) and NOT a zoom-out camera move within the original generation. It rewrites the frame itself to include more scene. Useful for turning a tight composition into a wider establishing shot without regenerating from scratch.
[Source frame reference]. Extend the scene [direction: outward / upward / leftward].
[What appears in the newly revealed area]. [Preserve the original subject/composition].
Edit Shot
The prompt modifies specific elements of an existing generation while everything else stays exactly as it was. Think of it as a targeted patch: change a jacket color, remove a background figure, swap a prop, adjust a facial expression. Identity, camera, composition, and lighting stay locked unless you explicitly name them in the change list. The Keep Rule matters here: always state what to preserve alongside what to change.
Change [specific element] to [new state]. Keep [everything else] unchanged.
[Preserve identity, composition, lighting, and camera behavior from the original.]
Transformation
The prompt describes an explicit state change inside a single clip — the subject, object, or environment visibly becomes something else within the shot's duration. Distinct from Continuation (which extends time across two clips) and from Edit Shot (which modifies a generated clip after the fact). Transformation happens during the generation, in one continuous take.
Not to be confused with footage transformation (video-to-video). This Transformation prompt mode is an in-clip morph generated from scratch. When the user starts from a real clip they already shot and wants to preserve the subject + camera move while adding a VFX element, swapping the world, or dropping in a creature, that is the video-to-video workflow in
../higgsfield-seedance-vfx/SKILL.md(@sourcegrammar, lock-down clauses, lighting integration, std-4K). Use it when the shot's core idea is the change itself: a character morphing, an object decaying, a landscape shifting from one season to another. The skeleton below is written for character → character; the same pattern applies to object → object and environment → environment with the relevant noun substituted.
[Subject in starting state — full identity descriptors]. [Triggering moment or
cue]. [Subject mid-transformation — what visibly changes, in observable
physical terms]. [Subject in ending state — new identity descriptors].
[Camera behavior across the change]. [Lighting / palette shift if any].
The transformation must be one continuous arc, not a cut. Describe the intermediate state explicitly — the model needs a midpoint anchor or it will either snap from start to end (looks like a cut) or render an ambiguous blur. Keep the duration short (5–8 seconds is the sweet spot for a single transformation); longer clips drift.
Mode Selection Rule
Reference-Based for new action with an existing character. Continuation for the next beat in time. Expand Shot to widen the frame spatially. Edit Shot to patch specific details. Transformation prompt mode when the shot's core idea is a state change inside a single clip — the change is the content. If you find yourself writing across multiple modes in one prompt — stop, pick one, generate, then use the output as input to the next mode.
Continuation Prompt Formula
When writing a Continuation mode prompt, apply these five rules. Skipping any of them is the most common cause of continuation failures: identity drift across the boundary, re-played actions, environment shifts, and broken emotional through-lines.
The Five Rules
-
Last-frame anchor. Open the prompt with a short description of what the camera sees in the final frame of the prior clip — the pose, the position in frame, where the character is looking. This tells the model where to start rendering from. One sentence is enough.
-
Identity anchor. Paste the character's identity block (the same paragraph you used in the original prompt) verbatim into the continuation prompt. Do not paraphrase it. Do not shorten it. Continuation boundaries are where identity drifts — a verbatim re-paste gives the model no room to reinterpret.
-
Prior clip as secondary memory. Name what just happened in one line — "following the door opening," "after the punch lands," "continuing from her turn toward the window." Do not re-describe the action in detail. One referential phrase, then move on.
-
Immediate continuation. Start the new action on the frame that follows the prior clip's final frame. No time skip, no fade, no implied cut — unless the user has explicitly asked for one. If they want a skip, describe it as a new shot instead.
-
No action repeat. The new prompt must extend, not loop. If the prior clip ended on her drawing her weapon, the continuation does NOT describe her drawing her weapon — it describes what she does with it next. Repeating a described action is what causes the "previous beat replays" symptom.
What Must Carry Over
Across the continuation boundary, preserve: character identity (face, build, distinguishing marks), wardrobe (every garment and accessory), environment (architecture, light quality, color treatment, ambient particulates), and emotional carryover (the state the character was in at the last frame — tense, exhausted, alert — should still read on their body in the opening of the continuation).
For the eight named substrate channels that "emotional carryover" decomposes into, see
../../vocab.md§ Emotion as Visible Behavior — Channels.
Example
Prior clip ended on a detective standing in a doorway, rain behind her, glancing over her shoulder. The continuation prompt:
Continuing from the prior clip — the detective framed in the doorway, head
turned, rain behind her. [Identity block verbatim: weathered woman, mid-40s,
short dark hair, charcoal trench coat, leather gloves, tired but alert.]
Following her glance back, she steps fully into the corridor, lets the door
swing shut behind her, and begins walking toward camera. Slow dolly-back
matching her pace. Same cool blue-grey palette, same overhead practical light.
Tense, controlled energy carrying over from the prior clip.
All five rules present: last-frame anchor (framed in the doorway, head turned, rain behind her), identity anchor (bracketed block, verbatim), prior clip as secondary memory ("following her glance back"), immediate continuation (steps fully into the corridor — the next frame action), no action repeat (the glance is referenced, not re-performed).
Extension Prompting — Video-Reference Continuation
[EMPIRICAL — cross-surface, verified on Dreamina] — no Seedance surface
exposes a dedicated "extend" button. The working extension path: attach the
existing clip as a video reference (the video_references media role)
and open the prompt with "The scene continues." The model picks up from
the clip's end and carries motion, characters, environment, even voices. The
five rules above still apply — the attached clip simply replaces the prose
last-frame anchor with the real thing.
- Prequels: open with "Show me what happens before" instead — the model generates the clip leading into the source. Past / current / future can all be chained around one anchor clip.
- Match the source clip's resolution AND duration — 1080p source →
1080p extension, 15s source → 15s extension (both inside the model's
4–15s range; 1080p/4k require
mode=std). A 720p extension of a 1080p source shows a visible quality jump at the join. Same family as the duration-match rule for screen composites (PRODUCTION-PATTERNS.md§ Video-Reference 1:1 Lock + SCREEN REALISM). - Feed the tail, not just the frame
[FIELD — 13-project harvest]: production practice feeds the final 3–4 seconds of the finished take back as the@videoreference rather than a last-frame still — the clip carries motion into the join, so the next shot picks up the exact pose, framing, light, and movement where the previous one left off instead of restarting from a frozen pose. - Occluded-identity binding: if an identity feature is hidden at the
source clip's end (a mole behind a hand), add the character image as a
second reference and bind it explicitly:
"The woman's identity is @Image1." - Chains degrade. Each extension re-feeds a generation of a generation
and compounds artifacts.
[FIELD — community, seedance-2.0 repo v6.6.0]: expect visible drift by the 4th–5th chained generation; cap seamless chains at ~2 (hard ceiling 3), then re-anchor from the ORIGINAL canonical references — a scene boundary is an intentional cut re-opened from canonical refs, not extension #4. A sequence that must run longer: break the chain with a B-roll cutaway between extensions, or upscale before re-feeding. - Prompt-engineered cut points: end the extension prompt on a
camera-angle change (
"the scene from the character's perspective") so the next join reads as intentional coverage rather than a seam. - Source carries state: the attached clip carries the state; the
extension text carries only the delta — see the
[FIELD]addendum under § Reference Roles → Load-Bearing Rule before writing the opening line. - Extending dialogue: check the per-language dialogue-sync budget table
in
../higgsfield-audio/SKILL.mdbefore writing the next line — reliable lip-sync word counts differ sharply by language.
Working Modes vs Prompt Modes — Two Taxonomies
The Seedance 2.0 Prompt Modes section above names five things the platform exposes: Reference-Based / Continuation / Expand Shot / Edit Shot / Transformation. These are platform mechanisms — different pathways through which Seedance accepts a prompt. The Reference Roles and Working Modes sections below name two adjacent concepts that the platform vocabulary does not surface:
- Working modes — user intent. What you are trying to DO with the craft when you sit down to write the prompt.
- Prompt modes — platform mechanism. Which of the 5 input pathways Seedance accepts the prompt through.
- Reference roles — what each reference inside the prompt represents.
A semantic-role layer, distinct from the input-modality use-case
patterns catalogued in
../higgsfield-cinema/SKILL.md§ @ Reference Patterns for Cinema Studio 3.0 (which lists@Image1/@Video1/@Audio1patterns by scenario, not by semantic role).
These three taxonomies are peers, not hierarchical. A single Seedance shot pulls from all three: a working-mode intent picks a prompt mode; references inside the prompt play specific roles.
The "Continuation" Word Collision
"Continuation" names something in both taxonomies:
- Continuation working mode = user intent — "I am picking up where the previous shot left off."
- Continuation prompt mode = platform mechanism — the specific Seedance input pathway that extends a prior generation forward in time (see the Seedance 2.0 Prompt Modes section above).
A user in Continuation working mode almost always uses Continuation prompt mode — the intent and the mechanism line up. But Bridging working mode can also reach for Continuation prompt mode (when the bridge anchors on the last frame of the upstream shot), and Repair working mode can reach for Continuation prompt mode (when the repair is a re-shoot starting from the same last frame as the failed clip). The names overlap; the meanings don't.
In this skill, section context disambiguates: if the surrounding content is in the Working Modes section, "Continuation" means the intent; if in the Seedance 2.0 Prompt Modes section or the Continuation Prompt Formula section, "Continuation" means the mechanism. If still ambiguous, the longer forms — "Continuation working mode" and "Continuation prompt mode" — are always available.
Working Mode → Prompt Mode Mapping
| Working mode | Typical prompt mode(s) | Reference roles in play |
|---|---|---|
| Exploration | Reference-Based, or pure T2V | Character (optional) |
| Continuation | Continuation | Character + Last-Frame |
| Bridging | Reference-Based or Continuation | Character + Last-Frame + Environment |
| Repair | Edit Shot, or fresh Reference-Based | Character + (failed-shot reference) |
Not a strict mapping. One working mode routes through one or more prompt modes depending on what the shot needs; the table anchors the typical case without claiming a 1:1 bijection.
Reference Roles
Seedance prompts use references — @Image, @Video, and @Audio — to
lock specific properties across shots. Each reference plays one of four
roles depending on what it locks. This is a semantic-role taxonomy: what
the reference IS FOR in the prompt. It sits alongside (not on top of)
the input-modality use-case patterns in ../higgsfield-cinema/SKILL.md
§ @ Reference Patterns for Cinema Studio 3.0, which catalogs concrete
prompt patterns by file type.
If a property has to read consistently across multiple shots, assign it to a reference role. If it only matters for one shot, write it inline.
Three in-prompt role phrases demonstrated in Higgsfield's Seedance-4K
tutorial — "100% matches the reference" (identity lock), "STYLE REFERENCE ONLY" (environment that the model may extend), and "VARIETY reference" (crowd lineup sheet, the clone-army fix) — are catalogued in
PRODUCTION-PATTERNS.md § Reference-Role Vocabulary.
Character
Locks main-character identity across shots — face, build, distinguishing
marks. Almost always an image reference; for highest consistency, use
the Soul ID character sheet documented in
../higgsfield-soul/SKILL.md § Character Sheet Creation.
Pattern in a Seedance prompt:
@Image1 as the main character. [Identity block verbatim.] [Action the
subject performs.] ...
Last-Frame
Anchors the start of a new clip to a specific frame from the previous one. The role tells the model where to begin rendering from. Used in Continuation prompt mode and inside Bridging working mode. For the full five-rule construction pattern, see the Continuation Prompt Formula section above.
Pattern in a Seedance prompt:
Continuing from the prior clip — [short description of what the camera
sees in the final frame of the prior clip]. [New action that follows.]
Environment
Locks the world and setting across shots — architecture, light quality,
ambient particulates, weather state. The role tells the model the
specific space the action takes place in, separate from any character
in that space. Pairs with ../higgsfield-cinema/SKILL.md § Location
Reference Sheets when the same environment recurs across enough shots
to earn a sheet.
Pattern in a Seedance prompt:
@Image1 as the environment. [Subject + action.] [Lighting / atmospheric
cues consistent with the environment reference.]
Prop
Locks specific recurring objects — a hero costume piece, a signature weapon, a branded product, a vehicle that appears across multiple shots. The role tells the model that this specific object — not a generic instance of its category — must read identically across cuts.
Pattern in a Seedance prompt:
@Image1 as the prop. [Subject interacts with the prop.] [Camera
behavior.] [How the prop appears in the new shot — same geometry and
material as the reference.]
Depth Map
[FIELD — Higgsfield Studio, ADILIADA breakdown, 2026-08-14] A greyscale image where
light areas are near and dark areas are far. The model reads it as the scene's depth
skeleton — an explicit three-dimensional read that fixes composition, volume and
proportion. The failure it prevents is a space that rearranges itself between shots:
without a depth anchor, geometry drifts and a location subtly re-plans itself every few
seconds.
Use it where the space itself must hold — a fight in a specific room, a chase through architecture that has to stay the same architecture. It is a geometry input and carries no style: pair it with the environment reference that owns surfaces and light.
Bake it into the asset when the prompt will not hold it
[FIELD — Higgsfield Studio, ONEIRIC breakdown, 2026-08-13] The general move, and one of
the most useful in this file: when a property drifts no matter how well you write it,
stop writing it and move it one step earlier — generate it into the asset. The reference
image then carries the property, the model reads it off the plate, and it stops being
something the text has to win every shot.
The worked case is anamorphic optics. Asked for in a video prompt, the lens character drifts shot to shot. Asked for at the image stage, it holds — because the plate itself becomes the lens. There is no "anamorphic" switch in an image model either, so the effect is assembled from the geometry of the lens, written out, at the end of the location image prompt:
STRONG anamorphic lens character: horizontal squeeze and compression,
oval elliptical bokeh, horizontally stretched highlights, curved barrel
edge distortion, chromatic aberration toward the edges.
NO lens flares, NO light streaks, NO floating bokeh circles. 2.39:1.
Dose with subtle / gentle / moderate / strong / maximum. Ban the garbage that tags along (flares, streaks, floating bokeh orbs) at the image stage only.
Then never say those words again. In the video prompt the optics vocabulary does not appear at all — not even as a ban — because naming a thing under a negation summons it (
../shared/negative-constraints.md). The video prompt describes only clean glass and contained glows; the anamorphic character arrives with the asset.
This generalises past optics: a grain structure, a lens character, a colour cast, a crowd that costs a paragraph to specify — anything the text keeps losing is a candidate for baking into the plate. Note the cost: a baked property is no longer directable per shot, so bake only what should be constant across the sequence.
Per-Image Role Convention
Reference handles (@Image1, @Image2, @Video1, @Audio1) are
assigned by upload order — the first image attached becomes
@Image1, the second becomes @Image2, and so on. Production
practice locks a stable role assignment per slot, kept identical
across every prompt in a shot list, so the team and the model both
know which reference carries which property without re-reading the
prompt body.
| Slot | Role |
|---|---|
@Image1 |
Character identity |
@Image2 |
Costume |
@Image3 |
Environment + lighting |
@Image4 |
Composition |
@Video1 |
Motion only |
@Video2 |
Camera movement only |
@Audio1 |
Rhythm + atmosphere |
@Audio1 is load-bearing on timing, not just atmosphere: an uploaded
audio file is a conditioning input that drives cut timing, camera
acceleration, and action pace (beat sync), and a [AUDIO: Xs] script block
in the prompt body generates dialogue + SFX + lip-sync. Both, plus the
first-15s extraction trap, are documented in
../higgsfield-audio/SKILL.md § Audio as a Conditioning Input. The
temporal-compatibility constraint below (a @Video1 camera style must not
fight the @Audio1 rhythm) is the audio case of the Load-Bearing Rule.
The slot order is not model-enforced — it is team-side discipline.
The payoff is reference-stability across long shot lists: once
@Image1 = character for the project, that holds for every prompt,
and nobody has to re-check which face the model expects at shot 47.
When a reference conflicts with the prompt text — costume reference
shows red, text says blue — resolve it explicitly in the prompt
body: @Image2 as costume reference, but recoloured to blue for this shot. Don't let an unresolved conflict reach the model.
Load-Bearing Rule
References support memory, but text defines action. The references in a Seedance prompt carry the persistent properties that read consistently across shots; the prompt text directs what happens in this specific generation. References cannot drive new action; text cannot replace what the references carry. Both layers stay in their lanes.
Sibling formulation of the v3.7.1 camera-side rule ("Prompt wins on
action, reference wins on texture and world feel" — see
../higgsfield-camera/SKILL.md § Video Reference — What It Reads, and
What It Can't, § Load-Bearing Rule). Same underlying principle from
different surfaces. The camera-side rule names the WIN order in case of
conflict; the Seedance-side rule names the LANES each side covers.
[FIELD — community, seedance-2.0 repo v6.6.0]Source carries state. When an accepted clip or final frame is attached as a reference, the source carries the state — the prompt text carries only the delta. Delete opening-state prose that repeats what the attached source already shows; when a reference and the text conflict, references outrank text. One class of state stays in prose regardless: a still frame cannot carry open motion vectors, camera-movement phase, or audio phase — in-flight motion and timing must be restated in words even when the frame is attached. Applied to extensions in § Continuation Prompt Formula → Extension Prompting.
The same distinction applies one level up — at the prompt-construction workflow, not just inside the prompt. When a Seedance clip lands and you want the next prompt to match its look, screenshot the working frame and upload it to Claude, not to Seedance. Claude needs the visual to write a prompt that matches the look; Seedance receives the resulting text prompt and renders the next clip without the screenshot attached. The screenshot is reference (for the prompt-building model); the text prompt is action (for the generation model).
Frame Coordinate System
Frame Coordinate System locks where subjects, props, and compositional elements sit inside the frame.
Qualitative anchors
Standard film-language position language, machine-readable because it is widely-attested in the training data:
- Horizontal:
left third,center,right third - Vertical:
upper third,lower third(centered vertically is the default and rarely needs naming) - Depth:
foreground,midground,background
Percentage notation
Numeric coordinates for cases where the qualitative anchors are not specific enough:
- x-position:
0%(far left fr
Truncated - read the full file at https://github.com/osidemedia/higgsfield-ai-prompt-skill/blob/HEAD/skills/higgsfield-seedance/SKILL.md.