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Get Started Free →Seedance 2.5 prompt director — the omni-reference dialect. Routes the four generation modes (t2v / omni_reference / video_edit / video_extension), writes explicit @Image/@Video/@Audio reference roles with exclusions, stages 30-second videos into end-state beats, and covers video editing, forward/backward extension, first-last-frame and multi-keyframe control, storyboard grids, blockout rendering, and seamless transitions. Use whenever the user asks for a Seedance 2.5 prompt, mentions Seedance 2.
.claude/skills/osidemedia-higgsfield-seedance-2-5/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-01 | ✗→✓ | ▲ Improved | 271% | 0% |
| case-03 | ✗→✓ | ▲ Improved | 435% | 0% |
| case-04 | ✗→✓ | ▲ Improved | 363% | 0% |
| case-05 | ✗→✓ | ▲ Improved | 601% | 0% |
| case-06 | ✗→✓ | ▲ Improved | 451% | 0% |
Seedance 2.5 is a different dialect from Seedance 2.0, not a version bump you can prompt through by habit. 2.0 is a reference-driven shot generator with start/end frames and a 4K lane. 2.5 is an omni-reference production model: up to 50 reference materials, 30-second native runtime, and three non-generation modes — it can edit a video you already have, and extend one forward or backward from its boundary frame.
The prompt grammar changes with it. Reference roles are declared in prose (@Image 1 defines …), audio and text get bracket syntax, long videos are staged with explicit end states, and first/last frames are announced inside the prompt rather than selected as a mode.
> Model split — read this before writing anything. 2.5 caps at 720p and has no > start_image / end_image media role, no genre hint, and no 4K lane. If the job > needs 4K, a genre hint, or platform-level start/end frame pinning, it is a > Seedance 2.0 job — ../higgsfield-seedance/SKILL.md. See § Choosing 2.0 vs 2.5.
Generated-checked block (scripts/build_index.py verifies anchors). Routing aids — read the linked sections for the rules themselves.
t2v · omni_reference · video_edit · video_extension; the mode changes what the prompt is →extension_mode required for (and only for) video_extension →video_edit ignores duration and aspect_ratio and bills by the source video's length; video_extension inherits the source's aspect ratio →@Images 1 through 4 define four characters is the canonical failure →() music · <> SFX · {} dialogue · 【】 subtitles; non-Chinese dialogue needs a language line before the line →@Image 1 is the first frame) — aspect ratio locks to the first image; never merge the two anchors into one sentence →MODE-PLAYBOOKS.mdMODE-PLAYBOOKS.mdomni_reference v2v lane (source ≥4s, duration = source), the four-batch rule, the slop catalog: VFX-PIPELINE.md[Age/Race] label →Two independent sources, labelled throughout:
| Label | Source | |---|---| | [OFFICIAL — Dreamina] | ByteDance's Dreamina Seedance 2.5 Prompt Guide + User Guide — the model vendor's own prompt doctrine. Prompt grammar is model-side, so it carries across to Higgsfield's hosting. | | [OFFICIAL — platform] | Higgsfield's live models_explore catalog, snapshot 2026-08-07 (../../specs/model-specs.json). Parameters, enums, and media roles come from here and nowhere else. | | [DREAMINA-ONLY] | A Dreamina product feature with no Higgsfield parameter behind it. Never quote these as things the user can do here. |
Where the two disagree about what is settable, the platform snapshot wins — it is what the API actually accepts.
Pick the mode first. The same sentence means different things in different modes, and two of the four modes are not generation at all.
| The user wants | Mode | What the prompt is | |---|---|---| | A clip from a description, no materials | t2v | A scene brief — the core formula below | | A clip built from images / videos / audio they supply | omni_reference | A role map plus a scene brief | | To change something inside a video they already have | video_edit | An edit order: master + scope + preserve list | | More footage before or after a video they already have | video_extension | A boundary contract plus new content |
Two rules that fall out of this:
omni_reference.2.5 has no separate first/last-frame mode on this platform — the anchor images are ordinary references whose role sentence says they are the first and last frame. [OFFICIAL — Dreamina: "no need to switch to a separate first/last-frame mode"]
omni_reference with the old clip as a motion reference — not video_edit. video_edit preserves the master's timeline and changes one scoped thing inside it.
> Video-to-video is not automatically video_edit. The field VFX workflow — swap the > person in this plate, keep every other pixel — runs in omni_reference with the source > attached as a video reference, because that is the lane where duration is settable and > must be matched to the source (and where the source therefore has to be ≥ 4 s, the > duration floor). video_edit is the lane for a scoped change inside a master whose > timeline must survive untouched. Full routing table + the performance-inheritance clause: > VFX-PIPELINE.md § Stage 4. [FIELD — AI-vs-VFX, 2026-08-08]
[OFFICIAL — platform, snapshot 2026-08-07] · verify against ../../specs/model-specs.json before quoting (HARD RULE 3).
| Parameter | Values | Notes | |---|---|---| | mode | t2v · omni_reference · video_edit · video_extension | default t2v | | duration | 4–30 s | default 5 — ignored in video_edit | | resolution | 480p · 720p | default 720p — there is no 1080p or 4K on 2.5 | | generate_audio | bool | default true | | extension_mode | backward · forward | required for video_extension, not allowed otherwise | | aspect ratio | auto · 21:9 · 16:9 · 4:3 · 1:1 · 3:4 · 9:16 | ignored in video_edit; follows the source in video_extension | | media roles | image_references · video_references · audio_references | no start_image / end_image |
Three consequences worth stating to the user before they spend credits:
video_edit bills by the source video's duration, and neither duration noraspect_ratio is settable — a 20-second master costs a 20-second render no matter how small the edit.
video_extension inherits the source's aspect ratio; only the extension'sduration is yours to set.
genre parameter. 2.0's genre hint does not exist here — genre lives in theprompt's visual-style clause instead.
Preflight the same way as 2.0:
python3 scripts/seedance_lint.py --preflight --model seedance_2_5 "<prompt>"The linter reads the enums out of ../../specs/model-specs.json, so an out-of-range duration, a 1080p request, or a video_extension missing its extension_mode is caught before the render.
[OFFICIAL — Dreamina] Combine only the parts the shot needs; omit the rest rather than padding empty slots.
<Subject> performs <primary action or event> in <scene and environment>.
The visuals feature <visual style>.
Use <shot size, camera angle, camera movement, or cuts>.
Audio includes <dialogue, ambience, sound effects, or music>.accelerates into a sprint while his jacket reacts to the airflow."
information; stacked buzzwords ("cinematic, 8K, masterpiece") sample nothing in particular. The named-substitute discipline in ../higgsfield-seedance/SKILL.md § Prompt-Craft Laws applies unchanged.
action; it is not decoration.
Generation parameters are not prompt text. Resolution, duration, and aspect ratio are set on the generation page or via the API — writing them into the prose does nothing except in the modes that auto-lock them, where they are not settable at all.
The moment there is more than one material, or a material sitting next to a text description, the prompt must state what each material contributes. [OFFICIAL — Dreamina]
@Image 1 defines <subject>'s <appearance, clothing, structure, or material>.
@Video 1 defines <motion, camera movement, or pacing>.
@Audio 1 defines <character or sound type>'s <voice, dialogue, ambience, or music>.Every material that could leak something unwanted gets an explicit exclusion in the same sentence:
@Image 2 defines the workbench and window light. Do not use the people in the image.Rules:
the model will not infer which person or prop a material represents.
explicitly when you mean otherwise.
one folding desk lamp. The output must contain only one lamp throughout." Without it the model duplicates the subject.
attributes to inherit. Restating every action fights the reference. A blockout or motion video carries motion and spatial structure — not identity — so the prompt still has to define subjects, scene, action, and visual style.
as 2.0's tag discipline; the model forces it into frame.
layout are the most common character-material leak — the flat gray studio renders as the actual set. Pair every character-sheet role with its own exclusion: "Do not take the gray backdrop, the panel borders, or the multi-view layout."
as name + one visible marker at their first appearance in the beat — "Mira — silver streak, rust-red jacket — crosses the stall line" — not as @Image 2. The model binds by what it can see in the material, and a handle used as a sentence subject is the classic way one character comes back as two people. [OFFICIAL — SD25-PE mapping priority: material content outranks upload order]
[EMPIRICAL — MiniMax H3 skill corpus, re-derived; cross-model structure, unmeasured on Seedance] A role says what job a material does; it still doesn't say how much of the material must reach the pixels. Declare one fidelity grade per material, in the same sentence as its role:
scar; hairstyle may change."
this fabric's weave and sheen to Mira's coat." The target must be named — this is the one case a bare role line cannot express, and the one that goes wrong silently.
@Image 4 defines the brocade fabric — attribute-transfer onto Mira's coat only.
Do not carry the garment's cut, the mannequin, or the studio backdrop.[OFFICIAL — Dreamina] Hard limits vs the ranges that actually stay stable:
| Type | Hard limit | Stable range | |---|---|---| | Images | 30, each ≤4K | 1–8 distinct subjects | | Videos | 10, ≤30s combined | 1–5 subjects, 5–10s each | | Audio | 10 clips, ≤30s combined | only clips directly relevant | | Video-edit source | 1 video + reference images | source ≤20s, 1–5 reference images |
50 reference materials total. Above the stable ranges (9–12 subjects in images, 6–10 in audio/video, 6–8 edit reference images) generation still works but stability drops and the shot may need several attempts — budget for it, or split the scene.
More than five subjects needing multiple views → one view per image. Independent view images beat a single collage of views; the collage is the less stable form.
Spend one view on a strong expression, not four resting faces. [OFFICIAL — Higgsfield Seedance 2.5 deck, PART 2] A set of neutral views teaches the model the face at rest and nothing else, so the first line of dialogue invents a mouth. Generate the views on a neutral light-grey ground and make one of them a strong expression — anger, or a wide smile — so the model learns the character's facial dynamics and teeth structure, not only the resting face. The canonical four: front view · back view · facial details at neutral · facial dynamics and teeth under strong emotion. Close the set with the identity line (§ Reference Roles) so all four are read as one person.
[OFFICIAL — Dreamina] The goal is not to cram every reference into one sentence. It is to define the relationships among characters, props, scenes, actions, and audio so the model picks the right material for the right moment.
Step 1 — name and map each subject individually. One line per subject:
<Character A> corresponds to @Image 1. Use only the appearance, hairstyle, and clothing.
<Character B> corresponds to @Image 2. Use only the appearance, hairstyle, and clothing.
<Prop A> corresponds to @Image 3. Use only the structure, material, and color.
<Scene A> references @Image 4. Use only the spatial layout, architecture, and lighting.
Do not use the people in the image.> The canonical failure: @Images 1 through 4 define four characters respectively. > That sentence does not say which image is which character, and the model will guess.
Step 2 — group by type once several subjects are in play: [Characters] → [Props] → [Scenes] → [Motion and Audio]. Add the non-interchange lock to the character group: "Do not interchange these characters' appearances, clothing, actions, positions, or dialogue."
Step 3 — profile any recurring subject. A character crossing several scenes, or carrying several materials, gets one consolidated block:
[Subject Profile: Conservator]
Appearance and clothing: @Image 1.
Fixed prop: <Sample Case> from @Image 5.
Locations: <Conservation Lab> and <Gallery>.
Motion references: the case-opening motion from @Video 1.
Do not use: other characters' clothing. Do not give this character other equipment.Step 4 — select references by scene. Per scene, list only the subset actually used, then the event and its end state:
Scene 1 | Inspection in the Conservation Lab
Use: <Conservator>, <Sample Case>, <Conservation Lab>, and the case-opening motion from @Video 1.
Event: <Conservator> opens <Sample Case> at the workbench and inspects the sample inside.
End state: <Conservator> remains on the inner side of the workbench. <Sample Case> stays
beside the conservator's right hand.Step 5 — check ownership. Props belong to exactly one character ("belongs only to <Conservator>"); character count, clothing, and spatial direction stay constant across scenes.
[OFFICIAL — Dreamina] 2.5 generates up to 30 seconds natively. Anything with several events gets staged — one flat paragraph is where dropped beats come from.
Each stage carries exactly one primary state change and closes on an explicit, directly visible end state. Each new stage restates what carries over.
[Generation Goal]
Generate a <video type>. The central subject is <subject>, and the primary event is <story summary>.
[Stage 1]
Initial state: <initial state of characters, props, and scene>.
Primary event: <one primary action or event>.
End state: <character positions, prop ownership, or visible scene state>.
[Stage 2]
Continue from the previous stage: <state that must remain unchanged>.
Primary event: <one primary action or event>.
End state: <observable state>.
[Stage 3]
Primary event: <closing event>.
End state: <final visible state>.
[Maintain Consistency]
Keep <character identity, number of characters, clothing, prop ownership, spatial direction,
and audio relationships> consistent.Staging solves too many events in one paragraph. It does not solve two incompatible jobs in one generation, and that is a separate cut worth making DEMO — Higgsfield "AI Love Stories" tutorial, 2026-08].
The reported case: an arena scene containing a fight (a giant throw, a sword snatch, a takedown) and, in the same beat, the acting around it (a hidden worry, a flirtatious exit, hope draining from a face). Run as one prompt it held — badly, in both directions at once: "the fight gets softer, the faces get flatter." The model spends its attention budget once. Asked to nail physics and micro-performance in one generation, it half-does each.
Split into two prompts, one job each, stitched in the edit:
| Cut it here | Because | |---|---| | physics ↔ performance | mass, contact and follow-through vs. eyes, breath and micro-expression. Different attention, different optics, usually different shot sizes | | action ↔ dialogue | the same split wearing other clothes | | the beat that needs room | the second reported case: a 30s carnival scene held as one prompt, and was still split into 3×15s because the first-touch beat needed room — "these beats felt completely rushed". Length was not the constraint; pacing was |
How to tell which cut you need. Length-driven splits are decided by counting events. This one is decided by asking: what is this shot's dominant job? If a prompt has two honest answers, it has two shots in it. That is the same question the Feasibility Veto asks about a single frame, applied to a whole generation.
Note the direction of the second case: it fit, and was split anyway. "It generated" is not the bar — a scene that renders every beat but rushes the one that matters has failed at the thing you were making it for.
Practical consequence, stated plainly by the same production: a perfect 30s render does not exist. Generate raw footage per job, then assemble. Several of the finished scenes in that film take the background from one take and the foreground action from another.
Stages are the default. Reach for one-second precision only when a specific handoff, entrance/exit, transition, or beat must land on a moment.
| Pattern | Use for | Example | |---|---|---| | Time range | Allocating pacing to a segment | 0-3 seconds… 3-7 seconds… 7-12 seconds… | | Exact time point | One key event | At 5 seconds, the camera whip-pans rapidly to the left and completes the transition. | | Relative timing | A delay between two events | Three seconds after the character presses the button, the room lights gradually turn off. |
frame-accurate edit point — actions may land slightly either side of a boundary.
excessive cutting or dropped events.
Timestamps allocate time; they do not enforce cadence.
> Relationship to 2.0's beat arithmetic. ../higgsfield-seedance/SKILL.md § Output > Format requires timed beats to sum to the declared duration. That still holds — but sum > to 4–30s here, and remember that on 2.5 the sum is a budget the model approximates, not a > cut list it honours to the frame.
[OFFICIAL — Dreamina] Prompts can be written entirely in natural language. Use the brackets when music, SFX, dialogue, and subtitles must be told apart explicitly:
| Content | Syntax | Example | |---|---|---| | Music | () | (Soft, rhythmic piano music plays in the background) | | Sound effects | <> | <A bell rings in the distance> | | Dialogue | {} | {Hello, welcome back.} | | Subtitles | 【】 | 【Chapter One: Departure】 |
Dialogue language reinforcement. For non-Chinese dialogue — or when English text comes back spoken in Chinese, or a specific regional variety is wanted — state it before the line:
Dialogue language + regional variety or accent + delivery style + speaker + {dialogue}Dialogue language: authentic Los Angeles English. The young man says in natural Los Angeles
vernacular: {No way, you actually made it.}Two house rules carry over from ../higgsfield-audio/SKILL.md and the film pipeline in ../higgsfield-seedance/HELL-GRIND.md:
description, or the model narrates it as behavior. The trap is that writers do not think of subtext as speech: they exchange a look that says "you too?" is a line the script never wrote, and it comes back spoken. [HOUSE — the failing take is timecoded in the nutllwhy/seedance-tvc-director evaluation, MIT, 2026-08-09.] Anything readable is a voicing request — quoted subtext, a remembered line, a slogan, a sign read aloud. Write the visible behavior instead (jaw sets, eyes hold), and note that adding "no dialogue" does not undo it: the readable text is still there being asked for.
unrequested BGM were 2.0's most-reported nuisance; ByteDance calls suppression of both a headline 2.5 fix [OFFICIAL — Dreamina]. Still say it — and no 【】 block — rather than trusting the improvement. Write the suppression as NO BGM, not (no music): a production term reads as a hard spec where a bare negation reads as a preference, and lead with the positive diegetic list before it (../higgsfield-audio/SKILL.md § Suppressing music).
[OFFICIAL — Dreamina] On 2.5 these are prompt statements, not a mode, because the platform surface has no start/end-frame media role.
@Image 1 is the first frame. It defines the opening composition, subject position, pose,
prop state, scene, and camera direction.
@Image 2 is the last frame. It defines the ending composition, subject position, pose,
prop state, scene, and camera direction.
@Image 3 defines <Subject A>'s <appearance, clothing, structure, or material>. Do not change
the first-frame composition defined by @Image 1 or the last-frame composition defined by @Image 2.
<Describe one continuous action or event>.
The video begins naturally from the first frame defined by @Image 1 and reaches the last
frame defined by @Image 2 after the continuous action.
Between the first and last frames, maintain continuity in <character identity, prop structure
and ownership, scene layout, and camera direction>.Three failure sources, all avoidable:
@Images 1 and 2 are the first and last frames is thedocumented wrong form. One role sentence per image.
output ratio locks to the first image; duration stays settable.
"do not change the first/last-frame composition" clause.
Multi-keyframe sequences (3+ ordered stage images) open with Use @Image 1 through @Image N as keyframes in this order, then describe the key state each image represents. Independent keyframe images align far more reliably than several frames combined into one grid. Keyframes control stage order and key states — they do not reproduce every intermediate frame.
Storyboard grids and blockout references (coarse vs fine) are the next rung up: MODE-PLAYBOOKS.md § Storyboard grids and § Blockout references.
The long templates live in MODE-PLAYBOOKS.md in this directory. What you need to know before opening it:
scope, target material, and the preserve list. Subject replacement additionally needs a Timeline Inheritance clause so the new object inherits the old one's exact timing, path, occlusion, and exit. Background replacement scopes the edit to outside the subject's silhouette. Audio categories (dialogue, language, voice, BGM, SFX) edit independently.
describing new content. Forward extension continues from the source's last frame; backward extension must land on the source's first frame as its explicit end state. "Then connect to the source video" is the documented failure phrasing — it leaks later elements in early and lets the image drift after it arrives.
Amount → Editing Style → Visual Treatment → Audio. "Turn these into a video" is never enough.
Trigger Action → Camera Movement → Visual Transformation → Arrival State → Audio.
erase · mask · similar-object · action · dynamic relay · zoom in/out · ink-wash. Each named with its own trigger and arrival composition.
[OFFICIAL — Dreamina]
Emotion. Abstract words ("tense", "warm", "oppressive") set a direction and leave the rest to interpretation. Pair them with directly visible or audible cues — eye movement, brow tension, mouth movement, breathing, gaze direction, hand movement. Two to four cues is enough for one transition; listing every facial detail is counterproductive.
The overall emotion shifts from <starting emotion> to <ending emotion>.
After <triggering event>, <subject> first shows <immediate observable reaction>.
Then, <eyes, brows, mouth, breathing, gaze, or hand movement> gradually <changes>.
Finally, <subject> expresses <target emotion> through <restrained or explicit outward behavior>.Use event-triggered multi-stage form only when the emotion genuinely changes several times. For muscle-level control beyond this, ../higgsfield-facs/SKILL.md (AU codes); for the behavior-under-pressure layer that makes the cues mean something, ../higgsfield-acting/SKILL.md.
Camera terms. Basic language works directly — shot size (extreme wide / wide / medium / close-up / extreme close-up), movement (push in, pull out, pan, lateral move, follow, orbit, dive, dolly out, tilt up, handheld shake), position (low angle, overhead, first-person).
Popular techniques (one-take, dolly zoom, aerial, FPV, bullet time, handheld, bounce speed ramp) also work directly — but with several subjects in frame, still say which subject the camera follows or orbits, where the move starts, and where it ends.
For a niche or ambiguous term, keep the term and translate it into an observable result:
Cinematography term + target subject + visual change + foreground/background relationship + direction or speedRack focus: shift focus smoothly from the leaves in the foreground to the person in the
background. The leaves gradually blur while the person's face changes from soft to sharp.For a precise transition moment, add the trigger time, the occluding object, the direction, and what continues afterwards. Aperture/focal-length/shutter numbers are allowed but the intended visible result is clearer than a raw value alone.
> FOV degrees still beat millimetres. The discrete-anchor FOV bank in > ../higgsfield-seedance/SKILL.md § FOV anchors is house doctrine across the Seedance > family and applies here unchanged.
[OFFICIAL — Dreamina] The vendor's answer to "my characters look AI, or look like twins" is a seven-slot character block. It works for stylized characters too.
[Role] [Skin color / skin texture] [Facial details] [Eyes / soul]
[Hairstyle / hair color] [Clothing / clothing texture] [Body type / mood / temperament]
[Other requirements, if any]Slot notes:
the single slot that most separates "photo of a person" from "AI render".
tell; see ../higgsfield-acting/SKILL.md § Eye life.
> House override on slot 1. The source guide labels the first slot [Age/Race]. Do > not write age. Engine rule 1 in ../higgsfield-seedance/ENGINE-RULES.md is age-blind > characters, and Higgsfield's own feature-film brief gives the reason: the content filter > tightens sharply the moment it reads a minor. Write role, build, clothing, and action > instead — "a lean courier in a soaked parka", not "a 22-year-old". Ethnicity stays a normal > descriptive slot; age does not.
| The job needs | Model | |---|---| | 4K or 1080p output | 2.0 (mode=std) — 2.5 has no lane above 720p | | Platform-pinned start / end frame media role | 2.0 | | A genre hint parameter | 2.0 | | A clip longer than 15 seconds in one generation | 2.5 (up to 30s) | | Editing a video that already exists | 2.5 (video_edit) | | Extending a clip forward or backward | 2.5 (video_extension) | | More than 9 reference images, or >3 reference videos/audio clips | 2.5 (30 / 10 / 10 vs 2.0's 9 / 3 / 3) | | Cheap 480p prompt validation | either — both cap the draft lane at 480p |
The honest default: draft and structure on 2.5 when the job is long, reference-heavy, or edit-shaped; finish on 2.0 when the deliverable needs resolution. They are not interchangeable takes — a 2.5 draft validates the prompt, not the 2.0 render, for the same reason ../higgsfield-seedance/SKILL.md § Drafts Validate the Prompt gives: there is no seed to pin.
The engine rules are shared. ../higgsfield-seedance/ENGINE-RULES.md applies in full — age-blind characters, exit-frame = implicit cut, off-screen = nonexistent, avoid reflection shots, ≤3 tracked characters, double-contrast cuts, micro-expressions as physics. So do the positive-phrasing law (Seedance has no negative-embedding architecture in either version), the homograph trap, and the block scaffold for production-scale briefs.
[OFFICIAL — Dreamina]
will land on an exact frame.
they cannot guarantee frame-by-frame overlap.
every material appear at once.
specs need prepared reference materials plus post — the same conclusion as 2.0's text-rendering high-risk row.
by up to ~0.3s from transition-frame handling.
stretch the last frame.
differ slightly.
the whole extended segment.
of either source clip.
[DREAMINA-ONLY] These exist in ByteDance's own Dreamina/Jimeng product and appear in the guides, but there is no Higgsfield parameter behind them on the 2026-08-07 snapshot. Do not offer them here.
| Dreamina feature | Status on Higgsfield | Closest thing that does work | |---|---|---| | Ultra Long Video — 30–180s in one generation | Not exposed; duration caps at 30 | Stage a 30s generation, then chain video_extension | | Nested extension to 60s via repeated UI operations | The model rule (source ≤30s → extend up to 30s) holds; the one-click nesting UI does not exist | Chain video_extension calls, re-checking the boundary each time | | Edit with marks / Advanced Edit — box, arrow, brush, anchor annotations on a frame | Not exposed; there is no annotation channel | video_edit with a written scope: object + change + effective time range | | Clay Renderer plugin — white-model rendering workflow | Not exposed as a plugin | Coarse/fine blockout prompting via omni_reference (MODE-PLAYBOOKS.md § Blockout references) | | Native 180s / multi-minute deliverables | — | Generate in 30s pieces and assemble in post (../higgsfield-pipeline/SKILL.md) |
Extension chain math. The model-side rule is: a source within 30 seconds can be extended by 4–30 seconds in one operation, so a 30s source plus a 30s extension is the 60-second ceiling for a single chain. Beyond that, re-anchor from the original references rather than extending an extension — the same degradation curve as 2.0's chain cap in ../higgsfield-seedance/SKILL.md § Extension Prompting.
[OFFICIAL — Dreamina], plus the house preflight. Only the rows for techniques actually used:
seedance_lint.py --preflight --model seedance_2_5 run and clean../higgsfield-seedance/SKILL.md — Seedance 2.0 director: the filter model, block scaffold,FOV anchors, prompt-craft laws, engine rules. Everything model-agnostic lives there.
../higgsfield-seedance/ENGINE-RULES.md — the shared hard rendering constraints../higgsfield-seedance/HELL-GRIND.md — Higgsfield's open-sourced feature-film pipeline(assets, GEO spatial layout, dialogue construction, iteration discipline)
../higgsfield-acting/SKILL.md — performance: objective, obstacle, tactics, beats, eye life../higgsfield-facs/SKILL.md — facial control by Action Unit code../higgsfield-seedance-vfx/SKILL.md — video-to-video footage transforms on 2.0../higgsfield-models/SKILL.md — model choice against the specs layer../higgsfield-pipeline/SKILL.md — assembling 30-second pieces into a longer deliverableMODE-PLAYBOOKS.md — the editing / extension / one-click / transition / blockout templatesVFX-PIPELINE.md — the AI-VFX production pipeline: asset-class model routing, the size-refframe, location batching, the omni_reference v2v lane, the four-batch rule, the slop catalog
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-01 | fail→pass | 24,202 | 19,560 | -19% | 1 | 1 | 0% | 3,527 | 13,070 | +271% | 0 | 0 | — |
case-02 | fail→fail | 17,527 | 28,527 | +63% | 1 | 1 | 0% | 2,418 | 13,391 | +454% | 0 | 0 | — |
case-03 | fail→pass | 15,808 | 12,077 | -24% | 1 | 1 | 0% | 2,239 | 11,970 | +435% | 0 | 0 | — |
case-04 | fail→pass | 59,593 | 13,778 | -77% | 1 | 1 | 0% | 2,605 | 12,066 | +363% | 0 | 0 | — |
case-05 | fail→pass | 23,115 | 12,637 | -45% | 1 | 1 | 0% | 1,727 | 12,114 | +601% | 0 | 0 | — |
case-06 | fail→pass | 21,558 | 16,024 | -26% | 1 | 1 | 0% | 2,255 | 12,431 | +451% | 0 | 0 | — |
case-07 | fail→pass | 13,493 | 15,539 | +15% | 1 | 1 | 0% | 930 | 11,924 | +1182% | 0 | 0 | — |
case-08 | pass→pass | 5,609 | 6,221 | +11% | 1 | 1 | 0% | 723 | 10,913 | +1409% | 0 | 0 | — |
case-09 | pass→pass | 7,033 | 7,589 | +8% | 1 | 1 | 0% | 858 | 11,252 | +1211% | 0 | 0 | — |
case-10 | pass→pass | 9,628 | 13,413 | +39% | 1 | 1 | 0% | 1,389 | 12,258 | +783% | 0 | 0 | — |
case-11 | pass→pass | 12,038 | 6,159 | -49% | 1 | 1 | 0% | 1,437 | 11,034 | +668% | 0 | 0 | — |
case-12 | fail→pass | 19,503 | 10,529 | -46% | 1 | 1 | 0% | 1,722 | 11,472 | +566% | 0 | 0 | — |
case-13 | fail→pass | 7,327 | 7,955 | +9% | 1 | 1 | 0% | 997 | 11,117 | +1015% | 0 | 0 | — |
case-14 | fail→pass | 6,950 | 9,064 | +30% | 1 | 1 | 0% | 785 | 11,335 | +1344% | 0 | 0 | — |
case-15 | pass→pass | 7,384 | 9,780 | +32% | 1 | 1 | 0% | 994 | 11,507 | +1058% | 0 | 0 | — |
case-16 | fail→pass | 11,094 | 8,499 | -23% | 1 | 1 | 0% | 1,302 | 11,316 | +769% | 0 | 0 | — |
case-17 | pass→pass | 20,028 | 9,725 | -51% | 1 | 1 | 0% | 1,975 | 11,485 | +482% | 0 | 0 | — |
case-18 | fail→pass | 30,793 | 11,603 | -62% | 1 | 1 | 0% | 1,879 | 11,722 | +524% | 0 | 0 | — |
case-19 | pass→pass | 16,564 | 9,723 | -41% | 1 | 1 | 0% | 1,968 | 11,578 | +488% | 0 | 0 | — |
case-20 | pass→pass | 7,959 | 30,314 | +281% | 1 | 1 | 0% | 1,028 | 12,408 | +1107% | 0 | 0 | — |
case-21 | pass→pass | 18,362 | 7,722 | -58% | 1 | 1 | 0% | 2,632 | 11,433 | +334% | 0 | 0 | — |
case-22 | fail→pass | 16,695 | 10,773 | -35% | 1 | 1 | 0% | 2,129 | 11,524 | +441% | 0 | 0 | — |
case-23 | fail→pass | 10,236 | 3,822 | -63% | 1 | 1 | 0% | 1,387 | 10,681 | +670% | 0 | 0 | — |
DecimalAI ran this skill against gemini-3.6-flash twice over the same eval suite — once with the skill loaded and once without — and compared the two runs case by case. 23 cases were attempted. The headline lift of +57 percentage points is the difference between those two pass rates over the 23 comparable cases.
Without the skill loaded, the model failed this case. With it loaded, the same prompt on the same model passed. This is one improved case from the latest verified run; every case, including any that regressed, is in the table above.
Other measured skills in the registry, with their headline benchmark lift.