Higgsfield Fashion Lookbook

Higgsfield Fashion Lookbook Skill

What this skill does

Crafts production-ready fashion lookbook and model showcase video prompts and routes them to the best Higgsfield model for fashion-grade output. On request, it assembles the full parameter set, surfaces the credit cost, and — after explicit user confirmation — generates the asset via the opt-in generation flow. The skill also handles lookbook stills and mood-board frames via the soul_cinematic still-image path.

Model routing

Primary and fallback video models

Routing rule: Use cinematic_studio_video_v2 by default. Only fall back to seedance_2_0 when (1) the primary model is unavailable, (2) the user needs a duration longer than 12 seconds, (3) the user needs the noir, drama, or epic genre tags, or (4) the user needs audio or video media roles. If switching, inform the user of what they trade off. Never switch silently.

MODEL-06 directive: If a parameter is rejected at generation time, call higgsfield:models_explore with the target model name to re-verify the live schema. The live catalog is the authoritative source — never guess parameter values. Full parameter tables: references/model-specs.md.

Per-platform aspect ratio quick rule

Vertical 9:16 for TikTok / Reels / Shorts, 16:9 for YouTube and widescreen, 1:1 for Instagram feed, 3:4 for portrait/magazine editorial. Note: cinematic_studio_video_v2 caps at 12 s — not 15 s. Full per-platform recommendation table: references/model-specs.md.

Still-image path (MODEL-05)

For a lookbook still or mood-board frame before committing to video, route to soul_cinematic via higgsfield:generate_image. This still-image model supports quality values 1.5k and 2k (maximum quality is 2k — there is no 4k for this model). Aspect ratios: 1:1, 4:3, 3:4, 16:9, 9:16, 3:2, 2:3, 21:9. Optionally attach a soul_id to maintain character identity across stills. After generating the still, pass it as a start_image reference to cinematic_studio_video_v2 to carry the established composition into video. Full parameter table: references/model-specs.md.

Prompt-building workflow

1. Gather intent — Confirm with the user: fashion category (luxury, streetwear, editorial, etc.), garment description (color, fabric, silhouette), model direction (walk type, attitude, expression), environment, lighting, target platform, aspect ratio, and desired duration.

2. Select model — Apply the routing table above. Choose cinematic_studio_video_v2 by default with genre: intimate for editorial/luxury or genre: spectacle for campaign launches; select seedance_2_0 only when a routing trigger applies; route still requests to soul_cinematic.

3. Build the prompt — Use the craft principles in the references below:

   • Opening hook (2-second attention-capture technique) from references/hooks.md
   • Fashion styling, wardrobe direction, model direction, lighting, movement language from references/styling.md
   • Worked example prompts by category and platform from references/examples.md

4. Present for review — Show the assembled prompt and all parameters to the user for review and refinement before any generation call. The user must approve the prompt text, model, genre, aspect ratio, and duration.

Opt-in generation

Generation costs Higgsfield credits and requires explicit user confirmation before any generate call is made. This skill never auto-generates.

Full step-by-step flow (confirmation gate, balance/cost surface, generate → poll → display): ../../shared/generation-flow.md

This skill's primary model: cinematic_studio_video_v2

Media upload: Conditional — only when the user supplies a start_image or end_image reference for image-to-video. This skill is NOT a mandatory-I2V skill; T2V is the default path. When the user provides a reference image, run the higgsfield:media_upload → higgsfield:media_confirm atomic pair before generating.

Tool signatures: ../../shared/mcp-tools.md

Reference materials