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/higgsfield-seedance-2-5

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

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higgsfield-ai-prompt-skill
82935 skills3 commands

Claude Code

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

SKILL.md

higgsfield-seedance-2-5.SKILL.md
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, blockout, transitions]
  version: 1.6.0
  updated: 2026-09-26
  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* [→](#the-mode-router)
  • 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` [→](#the-higgsfield-parameter-surface)
  • `video_edit` **ignores** `duration` and `aspect_ratio` and bills by the source video's length; `video_extension` inherits the source's aspect ratio [→](#the-higgsfield-parameter-surface)
  • 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 [→](#reference-roles--say-what-to-use-and-what-not-to-use)
  • 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 [→](#fidelity--say-how-much-of-each-material-must-survive)
  • 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) [→](#material-budget)
  • 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 [→](#multi-reference--the-five-step-workflow)
  • 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 [→](#long-video--stages-and-end-states)
  • Staging fixes too many EVENTS; two incompatible JOBS in one generation (physics + performance) is a separate cut — split into two prompts and stitch [→](#split-by-job-not-only-by-length)
  • 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) [→](#audio-and-text--bracket-syntax)
  • 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 [→](#first-last-frame-and-multi-keyframe-control)
  • 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 [→](#emotional-direction-and-camera-terms)
  • 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 [→](#the-real-person-character-formula)
  • Hard limits that must no
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A comprehensive Claude skill library for generating high-quality prompts on Higgsfield AI — the cinematic video and image generation platform.

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Questions about higgsfield-seedance-2-5.

Which coding agents can use higgsfield-seedance-2-5?
higgsfield-seedance-2-5 installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.