Agent skill

Higgsfield Seedance 2 5

by OSideMedia in OSideMedia/higgsfield-ai-prompt-skill

Seedance 2.5 prompt director — the omni-reference dialect. An agent skill from OSideMedia/higgsfield-ai-prompt-skill.

MITAuto-check passedMedia & Creative

Install Higgsfield Seedance 2 5

skills CLI
$ npx skills add OSideMedia/higgsfield-ai-prompt-skill --skill higgsfield-seedance-2-5 -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install OSideMedia/higgsfield-ai-prompt-skill higgsfield-seedance-2-5 --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/OSideMedia/higgsfield-ai-prompt-skill.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/higgsfield-seedance-2-5 .claude/skills/higgsfield-seedance-2-5 && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
higgsfield-seedance-2-5
GitHub stars
713
Token cost
~11k tokens
SKILL.md length
5,489 words
Files
3
Skills in repo
33
Repo updated
First seen
Licence
MIT

At a glance

Seedance 2.5 prompt director — the omni-reference dialect. An agent skill from OSideMedia/higgsfield-ai-prompt-skill.

  • Works in 2 steps: First/last frames, keyframes, storyboard… → Editing is not regeneration. If the user…
  • The user asks for a Seedance 2.5 prompt
  • SKILL.md covers QUICK FACTS, Provenance, The Mode Router and The Higgsfield Parameter Surface, plus 14 more sections
  • Calls python3

What it does

Higgsfield Seedance 2 5 is an agent skill from OSideMedia/higgsfield-ai-prompt-skill. Seedance 2.5 prompt director — the omni-reference dialect. Routes the four generation modes (t2v / omnireference / videoedit / videoextension), 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 2.5 / Dreamina /…

Its SKILL.md is about 11k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `MODE-PLAYBOOKS.md` and `VFX-PIPELINE.md`).

It sits in Media & Creative, covering AI video generation and Video production. It works with Seedance. The repository describes itself as: Claude AI skill for cinematic Higgsfield AI prompts — 32 sub-skills covering Seedance 2.5 (omni-reference, video edit + extend) and 2.0, the Hell Grind feature-film pipeline, an… The licence is MIT.

When your agent uses it

  • The user asks for a Seedance 2.5 prompt
  • Mentions Seedance 2.5 / Dreamina / Jimeng
  • Wants a clip longer than 15s on Seedance
  • EXTEND an existing video rather than generate a new one

Example prompts

  • “/higgsfield-seedance-2-5”

Workflow steps

2 steps, taken from the first numbered list in SKILL.md.

  1. First/last frames, keyframes, storyboard grids, and blockouts are all omni_reference.
  2. Editing is not regeneration. If the user wants the shot rebuilt, that is

What it can do on your machine

Read from SKILL.md and the folder at commit 7075497. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • python3

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Higgsfield Seedance 2 5 loads about 11k tokens when it runs. Until then it costs about 203 tokens; SKILL.md has 5,489 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~203
When it runs · the whole SKILL.md, loaded when a task matches
~11k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from OSideMedia/higgsfield-ai-prompt-skill at commit 7075497, republished under its MIT licence (© OSideMedia). 5,489 words, ~11,498 tokens.

Download SKILL.mdSave it as .claude/skills/higgsfield-seedance-2-5/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
higgsfield-seedance-2-5
description
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 2.5 / Dreamina / Jimeng, wants a clip longer than 15s on Seedance, wants to EDIT or EXTEND an existing video rather than generate a new one, or supplies more than a handful of image/video/audio references. For Seedance 2.0 (4K, `mode=fast`, or a genre hint) use higgsfield-seedance instead.
user-invocable
true
metadata.tags
higgsfield, seedance, seedance-2.5, dreamina, jimeng, omni-reference, video-edit, video-extension, multi-reference, long-video, keyframes, storyboard…
metadata.version
1.6.0
metadata.updated
2026-09-26
metadata.parent
higgsfield

Higgsfield Seedance 2.5 Director

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 a 4K lane and a genre hint. 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 live inside omni_reference — either as the platform's start_image / end_image roles or announced inside the prompt — never as a separate mode.

Model split — read this before writing anything. 2.5 tops out at 1080p (no 4K lane) and has no genre hint. Since the 2026-09-26 snapshot it does expose start_image / end_image roles — but only in omni_reference mode. If the job needs 4K or a genre hint, it is a Seedance 2.0 job — ../higgsfield-seedance/SKILL.md. See § Choosing 2.0 vs 2.5.

QUICK FACTS

Generated-checked block (scripts/build_index.py verifies anchors). Routing aids — read the linked sections for the rules themselves.

  • Four modes, picked before writing: t2v · omni_reference · video_edit · video_extension; the mode changes what the prompt is →
  • Higgsfield surface: 480p/720p/1080p (no 4K), duration 4–30s, start_image/end_image only in omni_reference, t2v takes zero references, no genre hint, 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 →
  • Every reference material gets an explicit role and an exclusion — "what to use" plus "what not to use"; never let the model infer the mapping →
  • Each material also declares a fidelity grade — full-preserve / partial-preserve / attribute-transfer (name the target) / loose-guide; beat lines name characters (name + one visible marker), never handles →
  • Material budget: 30 images / 10 videos ≤30s total / 10 audio ≤30s total, 50 materials max (Dreamina's figures — the platform enforces only the 30-image and 50-material caps) — a platform start_image/end_image counts against both; stability ranges are 1–8 subjects (images), 1–5 subjects at 5–10s (video/audio) →
  • Multi-reference is a 5-step workflow — map → group → profile → select-by-scene, one line per subject; @Images 1 through 4 define four characters is the canonical failure →
  • Long videos are staged, not paragraphed: one primary change per stage + an explicit end state; timestamps allocate a budget, they are not frame-accurate edit points →
  • Staging fixes too many EVENTS; two incompatible JOBS in one generation (physics + performance) is a separate cut — split into two prompts and stitch →
  • Bracket syntax: () music · <> SFX · {} dialogue · 【】 subtitles; non-Chinese dialogue needs a language line before the line; a music suppression never goes inside () — (no music) there reads as a music cue (house inference, the default) →
  • First/last frames are omni_reference work: the platform start_image/end_image roles or an in-prompt declaration (@Image 1 is the first frame) — which holds better is unmeasured; keyframes 3+ are always in the prompt; never merge two anchors into one sentence →
  • Editing needs a sole editing master + edit scope + Timeline Inheritance; extension needs the boundary frame aligned before any new content: MODE-PLAYBOOKS.md
  • Storyboard grids, coarse-vs-fine blockouts, one-click video, seamless transitions: MODE-PLAYBOOKS.md
  • AI-VFX production pipeline — model-per-asset-class routing, the size-ref frame, location batching, the omni_reference v2v lane (source ≥4s, duration = source), the four-batch rule, the slop catalog: VFX-PIPELINE.md
  • Emotion needs 2–4 observable cues, not adjectives; niche camera terms get translated into a visible result →
  • The real-person formula is 7 slots — and slot 1 is role, never age: the age-blind engine rule outranks the source guide's [Age/Race] label →
  • Hard limits that must not be over-promised (frame accuracy, locked parameters, pixel-identical transitions) →
  • Dreamina-product features that are not on the Higgsfield surface — Ultra Long Video 180s, mark-based editing, Clay Renderer →

Provenance

Two primary sources, labelled throughout, plus the secondary sources below. What each label means — and the evidence it requires — is the repo-wide legend in ../shared/provenance.md.

LabelSource
[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 2026-09-26 (../../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.
[EMPIRICAL — sd25-pe]sd25-pe, a Seedance 2.5 skill file. The repo records only a Discord copy (v0.1.0, noted in the v3.33.0 changelog) and not who wrote it, so it is not labelled OFFICIAL. Its mapping-priority claim — material content outranks upload order — agrees with the one measurement here (MODE-PLAYBOOKS.md § Panel-to-timestamp mapping — board-first vs board-last, identical order adherence, on Ark).
Secondary labels[OFFICIAL — Higgsfield Seedance 2.5 deck] · [DEMO — Higgsfield "AI Love Stories" tutorial] · [FIELD — AI-vs-VFX] (the build in VFX-PIPELINE.md) · [EMPIRICAL — MiniMax H3 skill corpus] · [EMPIRICAL — nutllwhy/seedance-tvc-director skill] — each named where it is used.

Where the two disagree about what is settable, the platform snapshot wins — it is what the API actually accepts.


The Mode Router

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 wantsModeWhat the prompt is
A clip from a description, no materialst2vA scene brief — the core formula below
A clip built from images / videos / audio they supplyomni_referenceA role map plus a scene brief
To change something inside a video they already havevideo_editAn edit order: master + scope + preserve list
More footage before or after a video they already havevideo_extensionA boundary contract plus new content

Two rules that fall out of this:

  1. First/last frames, keyframes, storyboard grids, and blockouts are all omni_reference. 2.5 has no separate first/last-frame mode on this platform. The first and last frame can go in two ways: the platform start_image / end_image roles (allowed only in omni_reference — the catalog rejects them in t2v, video_edit and video_extension), or ordinary references whose role sentence says they are the first and last frame. Which of the two holds the boundary better is unmeasured; keyframes 3+ exist only in the prompt form. [OFFICIAL — Dreamina: "no need to switch to a separate first/last-frame mode"] · [OFFICIAL — platform, snapshot 2026-09-26]
  2. Editing is not regeneration. If the user wants the shot rebuilt, that is 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]


The Higgsfield Parameter Surface

[OFFICIAL — platform, snapshot 2026-09-26] · verify against ../../specs/model-specs.json before quoting (HARD RULE 3).

ParameterValuesNotes
modet2v · omni_reference · video_edit · video_extensiondefault t2v
duration4–30 sdefault 5 — ignored in video_edit
resolution480p · 720p · 1080pdefault 720p — no 4K on 2.5 (1080p added by the 2026-09-26 snapshot; not yet field-rated)
generate_audiobooldefault true
bitrate_modestandard · highdefault standard
extension_modebackward · forwardrequired for video_extension, not allowed otherwise
aspect ratioauto · 21:9 · 16:9 · 4:3 · 1:1 · 3:4 · 9:16ignored in video_edit; follows the source in video_extension
media rolesstart_image · end_image · image_references · video_references · audio_referencesstart_image / end_image only in omni_reference

The catalog also carries reference-count rules that the table cannot show [OFFICIAL — platform, CLI rules 2026-09-26]:

  • t2v takes zero references — no image/video/audio references and no start/end frame.
  • omni_reference needs at least one reference (a start or end frame counts).
  • start_image / end_image are accepted only in omni_reference.
  • image references + start frame + end frame ≤ 30; all references + start + end ≤ 50.

Three consequences worth stating to the user before they spend credits:

  • video_edit bills by the source video's duration, and neither duration nor aspect_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's duration is yours to set.
  • No genre parameter. 2.0's genre hint does not exist here — genre lives in the prompt'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 4K request, or a video_extension missing its extension_mode is caught before the render.


The Core Prompt Formula

[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>.
  • Subject + action is load-bearing — make it concrete. "The man runs" → "the man accelerates into a sprint while his jacket reacts to the airflow."
  • Scene and environment — location, time, weather, spatial relationships, background state.
  • Visual style — lighting, color, materials, texture, mood. Only descriptors that add information; stacked buzzwords ("cinematic, 8K, masterpiece") sample nothing in particular. The named-substitute discipline in ../higgsfield-seedance/SKILL.md § Prompt-Craft Laws applies unchanged.
  • Camera — shot size, angle, movement, focus subject, transitions. Motion matches the action; it is not decoration.
  • Audio — dialogue, voice characteristics, ambience, SFX, music, synchronized to the visuals.

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.


Reference Roles — Say What to Use and What Not to Use

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:

  • Mappings live in the prompt. Text labels drawn inside an image are not a mapping, and the model will not infer which person or prop a material represents.
  • Video-only references are motion/pacing references by default, not identity — say so explicitly when you mean otherwise.
  • Several views of one subject must say they are one subject: "All four images define one folding desk lamp. The output must contain only one lamp throughout." Without it the model duplicates the subject.
  • When a reference video already carries the motion accurately, state only which 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.
  • Never place a reference handle in a shot where that subject is absent — the same rule as 2.0's tag discipline; the model forces it into frame.
  • Character sheets leak their staging. A sheet's neutral backdrop and multi-view panel 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."
  • Beat lines name characters, never handles. In action/beat prose, a character appears 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. [EMPIRICAL — sd25-pe mapping priority, re-derived 2026-08-09: material content outranks upload order] Scope: this is the 2.5 rule. On 2.0 the house convention is the opposite — the acting paragraph leads with the character's tag so the model binds the performance to the right person (../higgsfield-acting/SKILL.md § Scene adaptation, ../higgsfield-seedance/SKILL.md § Tag naming). Handles stay in the role map on 2.5 — the [Characters] lines, a staging legend (@A = the BLUE figure) — and out of the beat prose (../shared/house-rulings.md P2-13). Handle spelling follows the surface: Dreamina's guide writes upload-order handles with a space (@Image 1); the Higgsfield field build writes the upload-order form without one (@video1) and named asset tags (@size-ref, @dragon-v3). Pick one form per project and never mix them in one prompt.
Fidelity — say how much of each material must survive

[EMPIRICAL — MiniMax H3 skill corpus, re-derived 2026-08-09; 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:

  • full-preserve — the subject appears as-is: face, build, wardrobe, all of it.
  • partial-preserve — the named parts survive, the rest is free: "the jacket and the scar; hairstyle may change."
  • attribute-transfer — named traits lift onto a different, named target: "apply 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.
  • loose-guide — mood, palette, or energy only; nothing is copied literally.
@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.
Material budget

[OFFICIAL — Dreamina] Hard limits vs the ranges that actually stay stable:

TypeHard limitStable range
Images30, each ≤4K1–8 distinct subjects
Videos10, ≤30s combined1–5 subjects, 5–10s each
Audio10 clips, ≤30s combinedonly clips directly relevant
Video-edit source1 video + reference imagessource ≤20s, 1–5 reference images

50 reference materials total. On Higgsfield the platform enforces two of these caps and counts a start_image / end_image against both: image refs + start + end ≤ 30, all materials + start + end ≤ 50 [OFFICIAL — platform, CLI rules 2026-09-26]. The 10-video, 10-audio and ≤30 s-combined figures are Dreamina's; no platform rule states them — treat them as the vendor's model limits, unverified on Higgsfield. 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 (shade and mechanism: ../../templates/ad-asset-prep.md § Design for win rate) 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.


Multi-Reference — the Five-Step Workflow

[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.


Long Video — Stages and End States

[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.
Split by JOB, not only by length

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 hereBecause
physics ↔ performancemass, contact and follow-through vs. eyes, breath and micro-expression. Different attention, different optics, usually different shot sizes
action ↔ dialoguethe same split wearing other clothes
the beat that needs roomthe 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.

Timestamps and pacing

Stages are the default. Reach for one-second precision only when a specific handoff, entrance/exit, transition, or beat must land on a moment.

PatternUse forExample
Time rangeAllocating pacing to a segment0-3 seconds… 3-7 seconds… 7-12 seconds…
Exact time pointOne key eventAt 5 seconds, the camera whip-pans rapidly to the left and completes the transition.
Relative timingA delay between two eventsThree seconds after the character presses the button, the room lights gradually turn off.
  • Ranges are consecutive and non-overlapping, and they are a time budget, not a frame-accurate edit point — actions may land slightly either side of a boundary.
  • Too little content in a range hands the model freedom you did not intend; too much causes excessive cutting or dropped events.
  • Never demand a frequency inside one second ("complete three actions in one second"). Timestamps allocate time; they do not enforce cadence.
  • Every timestamped segment still ends on an explicit end state, exactly like a stage.

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.


Show full SKILL.md (2,260 more words)Show less

Audio and Text — Bracket Syntax

[OFFICIAL — Dreamina] Prompts can be written entirely in natural language. Use the brackets when music, SFX, dialogue, and subtitles must be told apart explicitly:

ContentSyntaxExample
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 man says in natural Los Angeles
vernacular: {No way, you actually made it.}

Adapted: as first recorded here, this example inside the [OFFICIAL — Dreamina] section named the speaker by an age word; rewritten age-blind per ../higgsfield-seedance/ENGINE-RULES.md rule 1. The structure is Dreamina's.

Two house rules carry over from ../higgsfield-audio/SKILL.md and the film pipeline in ../higgsfield-seedance/HELL-GRIND.md:

  • Speech lives in the audio clause only — not a word of dialogue inside the action 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. [EMPIRICAL — nutllwhy/seedance-tvc-director skill (MIT), re-derived 2026-08-09; the failing take is timecoded in that evaluation] 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.
  • Diegetic-only is a project choice, and 2.5 finally obeys it. Random subtitles and 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. One part is settled: lead with the positive diegetic list (the sources and room tone the audio is). One is a default: never put the suppression inside the () bracket — () is the music channel, so (no music) there is most likely read as a music cue. That is a [HOUSE] inference, not a measurement; it stands as the default because writing the suppression as plain audio text after the list costs nothing (../shared/house-rulings.md P2-7). Which token to write — NO BGM (one third-party skill: a production term reads as a hard spec, ../higgsfield-audio/SKILL.md § Suppressing music [EMPIRICAL]) or No music. (the form 12 of 13 harvested projects shipped, ../../templates/seedance/global-style-prefix.md [FIELD]) — is OPEN, unmeasured here (../shared/house-rulings.md P2-7).

First-Last Frame and Multi-Keyframe Control

[OFFICIAL — Dreamina] On 2.5 these are not a mode — they are omni_reference work. Since the 2026-09-26 snapshot the platform also exposes start_image / end_image roles (omni_reference only), so the first and last frame have two routes:

  • Platform roles — attach the anchors as start_image / end_image. Keep a short role sentence in the prompt anyway (what the frame fixes, what may change) so the prose and the attachment agree. [OFFICIAL — platform, snapshot 2026-09-26]
  • In-prompt declaration — attach the anchors as ordinary image_references and name their roles in prose (template below). This is the form ByteDance's guide documents, and the only form for keyframes 3+.

Which route holds the boundary better is unmeasured — no O-Side generation compares them. Don't do both for the same image (one image, one 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:

  1. Never merge the anchors — @Images 1 and 2 are the first and last frames is the documented wrong form. One role sentence per image.
  2. First and last images must share an aspect ratio, or the last frame stretches. The output ratio locks to the first image; duration stays settable. (Dreamina doctrine for the in-prompt form; unverified for the platform start_image role.)
  3. Supplementary references supplement only their named attribute — each one repeats the "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.


Editing, Extension, and the Composite Modes

The long templates live in MODE-PLAYBOOKS.md in this directory. What you need to know before opening it:

  • Video editing — define the source as the sole editing master, then edit goal, edit 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.
  • Video extension — the one rule that decides success: align the boundary frame before 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.
  • One-click video (images → one edited video) — Material Roles → Image Order → Motion Amount → Editing Style → Visual Treatment → Audio. "Turn these into a video" is never enough.
  • Seamless transitions (bridge content between two clips) — Before Video → After Video → Trigger Action → Camera Movement → Visual Transformation → Arrival State → Audio.
  • Transition vocabulary — natural shot switch · fade in/out · stacking · white/black flash · erase · mask · similar-object · action · dynamic relay · zoom in/out · ink-wash. Each named with its own trigger and arrival composition.

Emotional Direction and Camera Terms

[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 speed
Rack 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.


The Real-Person Character Formula

[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:

  • Skin — carry real texture: visible micro-pores, translucency, capillary flush. This is the single slot that most separates "photo of a person" from "AI render".
  • Facial details — eye shape, brow line, nose bridge, lips, jawline. Specific beats pretty.
  • Eyes / soul — what the gaze is doing and what it carries. Dead eyes are the number-one tell; see ../higgsfield-acting/SKILL.md § Eye life.
  • Body type / mood / temperament — the body as biography, not a compliment.

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.


Choosing 2.0 vs 2.5

The job needsModel
4K output2.0 (mode=std) — 2.5 stops at 1080p
A genre hint parameter, or mode=fast2.0
1080p outputeither — 2.0 needs mode=std; 2.5's 1080p is not yet field-rated
Platform start / end frameeither — 2.0 in any reference setup; 2.5 only in omni_reference
A clip longer than 15 seconds in one generation2.5 (up to 30s)
Editing a video that already exists2.5 (video_edit)
Extending a clip forward or backward2.5 (video_extension)
More than 9 reference images, or >3 reference videos/audio clips2.5 (30 / 10 / 10 vs 2.0's 9 / 3 / 3)
Cheap 480p prompt validationeither — 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 4K. 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.

What carries over from 2.0 unchanged

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 (stated for 2.0 as an empirical law — Seedance parses negative-list syntax as scene description; for 2.5 it is carried over by house assumption, unmeasured), the homograph trap, and the block scaffold for production-scale briefs.


Hard Limits — Do Not Over-Promise These

[OFFICIAL — Dreamina]

  • Timestamps allocate time; they are not frame-accurate edit points. Never imply a beat will land on an exact frame.
  • Video-editing prompts raise the probability that critical events align with the source — they cannot guarantee frame-by-frame overlap.
  • Multi-reference selects and combines the right materials per scene; it does not make every material appear at once.
  • Frame-level text accuracy is not promised. Subtitles, formulas, signs, and product specs need prepared reference materials plus post — the same conclusion as 2.0's text-rendering high-risk row.
  • Video editing locks the input's aspect ratio and approximate duration; output may differ by up to ~0.3s from transition-frame handling.
  • First/last-frame generation locks aspect ratio to the first image; mismatched ratios stretch the last frame.
  • Video extension locks aspect ratio to the source; the extended segment's audio volume may differ slightly.
  • Boundary frames connect naturally, not identically — review both sides of the seam plus the whole extended segment.
  • Seamless transitions aim for visual and audio continuity, not pixel-identical preservation of either source clip.

Dreamina-Only — What Higgsfield Does Not Expose

[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 2026-09-26 snapshot. Do not offer them here.

Dreamina featureStatus on HiggsfieldClosest thing that does work
Ultra Long Video — 30–180s in one generationNot exposed; duration caps at 30Stage a 30s generation and extend it once, to the 60 s single-chain ceiling (§ Extension chain math below); past that, re-anchor from the original references and assemble in post
Nested extension to 60s via repeated UI operationsThe model rule (source ≤30s → extend up to 30s) holds; the one-click nesting UI does not existChain video_extension calls, re-checking the boundary each time
Edit with marks / Advanced Edit — box, arrow, brush, anchor annotations on a frameNot exposed; there is no annotation channelvideo_edit with a written scope: object + change + effective time range
Clay Renderer plugin — white-model rendering workflowNot exposed as a pluginCoarse/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.


Pre-Submission Checklist

[OFFICIAL — Dreamina], plus the house preflight. Only the rows for techniques actually used:

  • Subject and primary action or event stated plainly
  • Every reference states what to use and what not to use
  • Every character, product, and prop named and bound to a specific material
  • References selected per scene, not all required at once
  • Each long-video stage has one primary change and a clear end state
  • Character count, clothing, prop ownership, and spatial relationships consistent throughout
  • Editing prompts define the sole master, edit scope, target quantity, and preserve list
  • Abstract emotions and niche camera terms paired with observable cues
  • First/last frames: omni_reference only; one route per image (platform role or in-prompt role), matching aspect ratios, anchors not merged
  • Storyboards state which structure to inherit, not literal panel reproduction
  • Blockouts: coarse vs fine identified first, inheritance list stated
  • Auto-locked parameters respected for edit / first-last / extension
  • Extension: boundary frame, motion trend, and audio continuity all checked
  • One-click video: roles, order, motion amount, editing style, audio all defined
  • Transitions: both clips' roles, trigger, process, and arrival state defined
  • No age words anywhere (engine rule 1)
  • 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 deliverable
  • MODE-PLAYBOOKS.md — the editing / extension / one-click / transition / blockout templates
  • VFX-PIPELINE.md — the AI-VFX production pipeline: asset-class model routing, the size-ref frame, location batching, the omni_reference v2v lane, the four-batch rule, the slop catalog

© OSideMedia, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 2 other files in skills/higgsfield-seedance-2-5 of OSideMedia/higgsfield-ai-prompt-skill.

  • SKILL.md
  • MODE-PLAYBOOKS.md
  • VFX-PIPELINE.md

Open the folder on GitHubat commit 7075497

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Works with

Questions about Higgsfield Seedance 2 5

What does Higgsfield Seedance 2 5 do?

Seedance 2.5 prompt director — the omni-reference dialect. An agent skill from OSideMedia/higgsfield-ai-prompt-skill. Higgsfield Seedance 2 5 is an agent skill from OSideMedia/higgsfield-ai-prompt-skill.5 prompt director — the omni-reference dialect.

When should I use Higgsfield Seedance 2 5?

Higgsfield Seedance 2 5 fits situations like: the user asks for a Seedance 2.5 prompt; mentions Seedance 2.5 / Dreamina / Jimeng; wants a clip longer than 15s on Seedance; EXTEND an existing video rather than generate a new one.

How do I install Higgsfield Seedance 2 5 in Claude Code?

Run `npx skills add OSideMedia/higgsfield-ai-prompt-skill --skill higgsfield-seedance-2-5 -a claude-code`. Or copy the skill folder (skills/higgsfield-seedance-2-5 in OSideMedia/higgsfield-ai-prompt-skill) into .claude/skills/higgsfield-seedance-2-5 in your project. Claude Code loads it when a task matches its description.

How do I install Higgsfield Seedance 2 5 in Codex?

Run `npx skills add OSideMedia/higgsfield-ai-prompt-skill --skill higgsfield-seedance-2-5 -a codex`. Or copy the skill folder (skills/higgsfield-seedance-2-5 in OSideMedia/higgsfield-ai-prompt-skill) into .agents/skills/higgsfield-seedance-2-5 in your project. Codex loads it when a task matches its description.

Can I use Higgsfield Seedance 2 5 in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add OSideMedia/higgsfield-ai-prompt-skill --skill higgsfield-seedance-2-5 -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/higgsfield-seedance-2-5, .gemini/skills/higgsfield-seedance-2-5, .github/skills/higgsfield-seedance-2-5 and .opencode/skills/higgsfield-seedance-2-5 in your project.

What does Higgsfield Seedance 2 5 need to run?

Going by SKILL.md and its folder, Higgsfield Seedance 2 5 needs the command-line tools its instructions call (python3).

Does Higgsfield Seedance 2 5 access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Higgsfield Seedance 2 5 safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Higgsfield Seedance 2 5 use?

Higgsfield Seedance 2 5 is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Higgsfield Seedance 2 5 use?

About 11k tokens (SKILL.md is roughly 46k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Higgsfield Seedance 2 5?

Skills that share tags, products or a category with Higgsfield Seedance 2 5: Scroll Promo Site Builder (kangarooking/kangarooking-skills, 662 stars), AI Marketing Videos (NeverSight/learn-skills.dev, 217 stars), Seedance Continuation (Emily2040/seedance-2.0, 7.6k stars) and Seedance Viral Hook (rediumvex/ai-video-generator-claude, 409 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Higgsfield Seedance 2 5?

OSideMedia (a GitHub user) maintains it in OSideMedia/higgsfield-ai-prompt-skill, which has 713 GitHub stars. The repository holds 33 skills in this directory. The repository was last updated on September 27, 2026.

Source: OSideMedia/higgsfield-ai-prompt-skill on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.