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higgsfield-moodboard

Use when the user asks about Moodboard, building a moodboard from reference images, curated moodboard presets, Soul Hex color transfer, applying a visual style direction to generations, or named moodboard styles like Y2K studio, Warm ambient, Theatrical light, Swag era, Flash editorial, Street photography, Asian nostalgia, Retro BW, Surreal solarization, etc.

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Higgsfield Moodboard

What Moodboard Does

Moodboard translates a collection of visual references into a unified style direction that can be applied to any generation. Instead of describing a feeling in text and hoping the model interprets it correctly, you show the platform exactly what you want.

Location: Moodboard tab (marked "New" in nav) → higgsfield.ai/moodboard

Two tabs inside Moodboard:

  • Curated — Higgsfield's own named preset moodboards, ready to use
  • My Moodboards — your custom moodboards built from uploaded references

Curated Moodboard Presets

Named presets built by Higgsfield — apply any of these immediately without uploading reference images. Each represents a complete visual world.

PresetVisual CharacterBest for
GeneralNeutral — no strong stylistic biasDefault when unsure, versatile
Warm ambientWarm, soft, gently lit — cozy and lived-inLifestyle, home, intimate portrait
Y2K studioHypercolor studio backdrop, fairy wings, maximalistY2K aesthetic, fashion, fantasy editorial
Swag eraEarly 2000s hip-hop and streetwear energyUrban fashion, music culture content
Theatrical lightDramatic stage lighting, strong contrast, silhouetteArtistic portrait, performance, dark editorial
Y2K streetUnion Jack tees, street photography, 2000s pop cultureStreet style, youth culture, nostalgia
Flash editorialOn-camera flash, oversaturated, candid — Cobrasnake eraParty, raw editorial, documentary fashion
Old smartphoneLow resolution, slightly washed, nostalgic phone cameraAuthentic, lo-fi, personal content
Street photographyUrban candid, natural light, documentaryStreet style, city life, authentic scenes
Asian nostalgiaJapanese/Korean city streetwear, warm neon, youth cultureAsian fashion, Tokyo/Seoul aesthetic
Retro BWBlack and white, classic tones, timelessArtistic portrait, formal editorial, classic fashion
Surreal solarizationOtherworldly color shifts, solarization effectConceptual/avant-garde, fashion art

How to apply a curated preset:

  1. Go to Moodboard tab
  2. Select Curated
  3. Click any preset
  4. It becomes available in My Moodboards or applies directly to generation

Building a Custom Moodboard

Upload Requirements

Recommended: 20+ photos, one cohesive style Avoid: Mixed styles, inconsistent quality

Two upload options in the Moodboard builder:

  • Upload images — upload from your device
  • Upload from assets — pull from your existing Higgsfield generations/assets

What "one cohesive style" means: All reference images should share the same visual world — similar lighting quality, color temperature, tone, and aesthetic. If half your references are dark and moody and half are bright and airy, the moodboard gets confused and produces a muddled output.

Good reference set (cohesive): Film stills from the same movie, a photographer's series, a curated Pinterest board with a single strong aesthetic, a fashion brand's lookbook.

Bad reference set (mixed): Random images from different genres, mixing a sunset photo with a dark studio portrait with a colorful illustration.

Building the Moodboard

  1. Click Build your moodboard ✦ (yellow button at top)
  2. Upload 20+ reference images via "Upload images" or "Upload from assets"
  3. Higgsfield analyzes the visual properties across all references
  4. Synthesizes dominant: colors, tonal values, lighting character, stylistic patterns
  5. Creates a named moodboard saved under My Moodboards

Applying to Generation

Once built, your moodboard appears in:

  • Soul 2.0 → Moodboard selector in the prompt bar
  • Any generation interface that supports moodboard input

The moodboard acts as a style layer applied on top of your text prompt — you describe the scene, the moodboard handles the look.


Soul Hex — Color Transfer

Soul Hex is Moodboard's dedicated color feature. It extracts and transfers the exact color signature from a reference image.

Location: Soul 2.0 prompt bar → Color Transfer button

Named Color Palettes

Pre-built palettes available directly in Color Transfer:

PaletteVisual Character
Film colorsNatural, organic, slightly desaturated film stock
Lime JamCool greens, fresh tones, nature-adjacent
Candy pinkWarm pinks, peachy highlights
Nostalgic blueDesaturated blues, faded, melancholic
Soft paletteMuted, airy, minimal contrast
Black glossHigh contrast, deep blacks, graphic

Custom Color Reference Upload

  1. Click Upload & Create ✦ in the Soul Hex section
  2. Upload any reference image with the color world you want
  3. Soul Hex extracts the color palette automatically — shows hex swatches
  4. Apply to generations

Good color references to upload:

  • Film still from a movie with the color grade you want
  • Fashion editorial with a strong color world
  • Your brand's visual assets to match brand colors
  • Any image where the color palette is the dominant appeal

Moodboard + Soul ID: The Power Combination

What it controlsTool
Who — face and character consistencySoul ID
Color world — palette and gradeColor Transfer / Soul Hex
Overall aesthetic — lighting, tone, visual languageMoodboard
Specific visual treatment — preset styleSoul 2.0 Style Preset

Workflow for a consistent content series:

Step 1: Create Soul ID character (20+ photos, Character tab)
Step 2: Build Moodboard from style references (20+ cohesive images)
Step 3: Set Color Transfer palette (named or custom upload)
Step 4: Every generation uses:
         → Character slot: Soul ID active
         → Style: appropriate preset
         → Color Transfer: consistent palette
         → Moodboard: your custom moodboard active
Step 5: Only the scene description changes post to post

Platform constraint — preset vs reference image (Soul 2.0) [OFFICIAL — platform CLI, 2026-09-26]: higgsfield model get text2image_soul_v2 rejects style_id combined with image_references and allows at most one image reference. The schema also has a separate custom_reference_id param that this rule does not mention. Which UI control maps to which param — Style preset → style_id? Soul ID character slot → custom_reference_id or image_references? — is unverified. So this workflow's "Soul ID + preset" pairing is not known to break, while "preset + an uploaded reference image" is the pair the CLI forbids if the preset is style_id: if a generation rejects or ignores one of them, drop the preset or the uploaded reference rather than retrying the pair. Detail: ../../image-models.md § Soul 2.0.

Per-post prompt template (with all consistency tools active):

[Soul ID character] is [action] at [specific location].
[One unique visual detail for this post.]
Camera: [movement]. Aspect: 9:16.
[No style description needed — moodboard + preset handle it.]

Moodboard as a Prompt Modifier

When you want to write the moodboard's style into the prompt directly (rather than using the UI), use this structure:

[MOODBOARD: Project Name]
Color palette: [2–3 dominant colors]
Tone: [warm/cool + emotional register]
Film look: [sensor/grain if applicable]
Lighting character: [quality of light]
Cultural reference: [specific aesthetic if using a curated preset]

Example — Y2K Studio:

[MOODBOARD: Summer Campaign]
Color palette: electric blue backdrop, metallic silver, iridescent highlights
Tone: hyper-energized, maximalist, unserious
Film look: early 2000s digital — slightly blown highlights, vivid saturation
Lighting character: hard studio flash, colorful gels
Cultural reference: Y2K maximalism, early internet fashion

Example — Theatrical Light:

[MOODBOARD: Dark Portrait Series]
Color palette: deep black, single amber key light, deep shadow fill
Tone: mysterious, composed, high-drama
Film look: medium format digital, razor-sharp
Lighting character: single hard source, theatrical — all else falls to black
Cultural reference: stage photography, Helmut Newton editorial

Related skills

  • higgsfield-soul — Soul ID character consistency (combine with Moodboard for full visual lock)
  • higgsfield-style — Visual styles and color grades
  • higgsfield-mixed-media — Artistic preset overlays
  • higgsfield-pipeline — Pipeline B uses Moodboard as a core stage
  • templates/ — Annotated genre templates demonstrating style direction

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

同じリポジトリのスキル

概要と使いどころ

Use this skill whenever the user asks anything about Higgsfield AI — writing or refining video/image prompts, choosing a model (Kling, Veo, Wan, Seedance, Minimax Hailuo, DoP, Soul, Nano Banana, Seedream, Flux, GPT Image, etc.), camera controls, named motion presets, Soul ID character consistency, Cinema Studio 2.5/3.0, Vibe Motion, troubleshooting failed generations, credit optimization, Photodump, or any mention of higgsfield.ai. Also trigger on generic "write me a video prompt" or "make me an AI video prompt" requests when Higgsfield is the user's configured platform.

日本語の概要は準備中です。原文の説明を表示しています。

OSideMedia/higgsfield-ai-prompt-skill7322026年9月27日 更新

Use when the user wants a 3D model, mesh or GLB out of Higgsfield — image-to-3D, multi-view-to-3D, text-to-3D, rigging or animating a mesh, remesh / retopology, retexture, or 3D Body (human shape + pose from one photo) — or mentions 3D Jutsu / Scene Builder 3D (private Blender scene projects built through Python). Also use for a 3D turnaround of a character or prop as a consistent multi-angle reference, or a physical 3D blockout rendered as a staging reference for a video shot. Names that trigger it: generate_3d, sam_3_3d, image_to_3d, multi_image_to_3d, meshy_v7_image_to_3d, tripo_h3_1_image_to_3d, tripo_h3_1_multiview_to_3d, hunyuan3d_v3_image_to_3d, meshy_v6_text_to_3d, hunyuan3d_v3_1_text_to_3d, tripo_3d, 3d_rigging, meshy_v5_remesh, meshy_v5_retexture, sam_3_3d_body, animation_actions, scene_builder_3d_*.

日本語の概要は準備中です。原文の説明を表示しています。

OSideMedia/higgsfield-ai-prompt-skill7322026年9月27日 更新

Writes the character-performance layer of a video prompt as behavior under pressure, not displayed emotion — objective, obstacle, tactics, beats, subtext, listening, body/status/proxemics, and mandatory eye life. Produces a reusable 150–220-word acting master profile per character plus a per-scene rewrite of it, and a locked voice prompt. Use whenever a prompt needs acting, performance, or emotion direction; whenever characters read wooden, dead-eyed, or 'AI'; whenever a character must stay themselves across many shots; or when the user asks for character behavior, mannerisms, tics, a gait, or how someone reacts. Pairs with higgsfield-facs (muscle-level AU codes) and higgsfield-seedance (the prompt the paragraph goes into).

日本語の概要は準備中です。原文の説明を表示しています。

OSideMedia/higgsfield-ai-prompt-skill7322026年9月27日 更新

Use when the user asks about Higgsfield's one-click Apps, wants to know which app to use for a specific output, or needs guidance on the Apps workflow.

日本語の概要は準備中です。原文の説明を表示しています。

OSideMedia/higgsfield-ai-prompt-skill7322026年9月27日 更新

Use when the user asks about Higgsfield Assist (the built-in GPT-5 copilot), how to use the platform's native AI assistant, credit optimization strategies, plan selection, how to get more from fewer credits, or platform efficiency tips.

日本語の概要は準備中です。原文の説明を表示しています。

OSideMedia/higgsfield-ai-prompt-skill7322026年9月27日 更新

Use when the user asks about audio in Higgsfield videos, needs to add dialogue or lip-sync, wants sound effects or ambient sound in generated video, asks about music or BGM in output, or is using any audio-capable model (Kling 3.0, Seedance 1.5 Pro, Seedance 2.0, Veo 3/3.1, Grok Video / Grok Imagine). Also use when the user's prompt would benefit from audio direction but they haven't mentioned it. Also use when the user wants standalone audio — a soundtrack, ambience bed, multi-speaker scene audio (Seed Audio 1.0), or text-to-speech voiceover. Also use to swap or revoice the speaker in an existing video (voice_change), or to clone / create a reusable voice (create_voice → a voice_type 'element' voice usable in TTS and voice change).

日本語の概要は準備中です。原文の説明を表示しています。

OSideMedia/higgsfield-ai-prompt-skill7322026年9月27日 更新

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