higgsfield-product-photoshoot

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---
version: 0.12.0
name: higgsfield-product-photoshoot
description: |
  Generate brand-quality product images through Higgsfield product-photoshoot
  prompt enhancement on GPT Image 2 / gpt_image_2. Entry point for professional
  brand/product visuals.
  Use when: "product photo", "studio shot", "lifestyle image", "Pinterest pin",
  "hero/banner", "carousel", "ad creative", "Meta ads", "virtual try-on",
  "model wearing", "person holding product", "closeup with hands",
  "levitating/floating/splash product", "CGI/surreal product", "restyle",
  "seasonal/aesthetic variation", or any product, brand, or paid-social creative.
  Modes: product_shot, lifestyle_scene, closeup_product_with_person,
  moodboard_pin, hero_banner, social_carousel, ad_creative_pack,
  virtual_model_tryout, conceptual_product, restyle. Backend assembles the final
  prompt; never freehand it.
  NOT for: no-product text-to-image (use higgsfield-generate), branded avatar
  video (use higgsfield-generate Marketing Studio), marketplace listing cards
  (use higgsfield-marketplace-cards), Soul Character training (use
  higgsfield-soul-id).
argument-hint: "[--mode <mode>] [--count N] [prompt]"
allowed-tools: Bash
---

# Product Photoshoot

Brand-image generation via the `higgsfield product-photoshoot create` command. The CLI calls a backend prompt enhancer that holds mode-specific photography vocabulary and structural templates, then submits to `gpt_image_2` and returns image URLs.

## Step 0 — Bootstrap

Before any other command:

1. If `higgsfield` is not on `$PATH`, install it:
   ```bash
   curl -fsSL https://raw.githubusercontent.com/higgsfield-ai/cli/main/install.sh | sh
   ```
2. If `higgsfield account status` fails with `Session expired` / `Not authenticated`, ask the user to run `higgsfield auth login` (interactive) and wait for confirmation.

## UX Rules

1. Be concise. Print only image URLs in the final reply.
2. Detect language, respond in it. Mode names and CLI flags stay English.
3. Ask at most 4 short questions before submitting. Use labeled options, never open-ended.
4. Skip questions whose answer is obvious from context (uploaded image, prior turn, brand memory).
5. Never write the gpt_image_2 prompt yourself — backend assembles it.
6. Polling is silent. Wait until URLs are ready, then deliver.

## Modes

| Mode | When user wants… |
|---|---|
| `product_shot` | Product on neutral / studio / catalog background |
| `lifestyle_scene` | Product in real-world environment, hands, action, atmosphere |
| `closeup_product_with_person` | Tight crop with hands / partial face — beauty application, holding, demonstrating |
| `moodboard_pin` | Vertical 2:3 Pinterest-native aesthetic, moodboard feel |
| `hero_banner` | Wide-format website / email / campaign header |
| `social_carousel` | 3–10 connected slides for IG / LinkedIn / Facebook |
| `ad_creative_pack` | Coordinated pack of static ad variants for Meta / TikTok / Pinterest / Google Ads |
| `virtual_model_tryout` | Product worn or used by an AI-rendered model |
| `conceptual_product` | Surreal / CGI-style / levitating / splash / sculptural product |
| `restyle` | Transform an existing image's aesthetic, mood, or seasonal context |

## Mode selection

Pick by intent, not surface keyword. When two modes could apply, prefer the more specific one.

- product + neutral / clean / white / studio / catalog / Shopify → `product_shot`
- product + scene / in use / kitchen / outdoor / cafe / gym → `lifestyle_scene`
- hands holding / face with product / beauty application / demonstrating → `closeup_product_with_person`
- Pinterest, pin, vertical pin → `moodboard_pin`
- hero, banner, website header, landing page, email header, wide format → `hero_banner`
- carousel, slide post, multi-slide, swipeable → `social_carousel`
- ads, ad pack, paid social, Meta / TikTok / Pinterest ads → `ad_creative_pack`
- model wearing, virtual try-on, on body, fashion shoot, lookbook → `virtual_model_tryout`
- levitating, floating, splash,