Higgsfield Product 360

Higgsfield Product-360 Skill

What this skill does

Crafts production-ready product showcase video prompts and routes them to the best Higgsfield model for 360° turntable and multi-angle output.

A product photo is always required. This is a mandatory image-to-video (I2V) skill: every generation needs a user-supplied product image uploaded and confirmed via the media branch before calling higgsfield:generate_video. The confirmed image is attached as start_image.

This skill also handles product hero stills and mood-board frames via the still-image path (see below).

Model routing

Primary and fallback video models

Routing rule: Use seedance_2_0 by default. Fall back to cinematic_studio_3_0 only when (1) the primary is unavailable, or (2) the user explicitly wants the cinematic pipeline. Note that cinematic_studio_3_0 does not support 4:3 or 3:4 aspect ratios.

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. Full parameter tables: references/model-specs.md.

Per-platform aspect ratio

Quick rule: 9:16 for TikTok / Reels, 16:9 for YouTube / e-commerce, 1:1 for Instagram feed, 3:4 for portrait product packaging (seedance_2_0 only). Full table in references/model-specs.md.

Still-image path (MODEL-05)

For a product hero still or mood-board frame before committing to video, route to seedream_v4_5 (primary) or soul_cinematic (alternate) via higgsfield:generate_image.

• seedream_v4_5: quality {basic, high}; aspect_ratio {1:1, 4:3, 16:9, 3:2, 21:9, 3:4, 9:16, 2:3}; supports 4K output (this image model legitimately outputs 4K — this does not apply to any video model).
• soul_cinematic: quality {1.5k, 2k}; optional soul_id for style consistency; same wide aspect-ratio set.

After generating a still, the output image can be passed as the start_image input for the video path above. Full parameter tables: references/model-specs.md.

Prompt-building workflow

1. Gather intent — Confirm: product category, target platform, aspect ratio, desired duration, brand mood (luxury, tech, lifestyle).

2. Select model — Apply the routing table above. Choose seedance_2_0 by default.

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

   • Opening hook (2-second attention-capture technique): references/hooks.md
   • Camera angles, rotation patterns, and per-category lighting: references/angles.md
   • Worked example prompts by product category: 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.

Opt-in generation

Generation costs Higgsfield credits and requires explicit user confirmation before any generate call. 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: seedance_2_0

Media upload — MANDATORY (GEN-04):

A product photo is always required for video generation. Before calling higgsfield:generate_video:

1. Ask the user to provide their product photo.
2. Upload it: run higgsfield:media_upload → returns a pending_id.
3. Confirm it: run higgsfield:media_confirm → returns a confirmed_id.
4. Attach it in input_files with role start_image:

   [{ "id": "<confirmed_id>", "role": "start_image" }]
   

Never pass a pending_id directly to input_files — it will be rejected. See ../../shared/generation-flow.md Step 2b for the full atomic-pair detail.

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

Reference materials