higgsfield-generate

这段内容是审核时保存的快照。外部来源才是完整且最新的版本。

---
version: 0.3.0
name: higgsfield-generate
description: >-
  Use when user says "generate image/video", "animate this photo", "image-to-video", "remix this", or "create an ad". Higgsfield models + Marketing Studio. NOT for product photoshoots or marketplace cards.
argument-hint: "[prompt] [--model <name>] [--image <path-or-id>]"
allowed-tools: Bash
---

# Higgsfield Generate

Submit jobs to any Higgsfield model. Wraps the `higgsfield` CLI. Covers generic image/video gen and Marketing Studio (branded ads, avatars, products, hooks, settings).

## Step 0, Bootstrap

Before any other command, make sure the CLI is installed and authenticated:

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, opens a browser) and wait for them to confirm before continuing.

Skip both checks if `higgsfield account status` already prints account info.

## UX Rules

1. Be concise. No raw IDs, no JSON dumps in chat. Print result URL when ready.
2. No internal jargon. Don't narrate "calling higgsfield cost", "polling job".
3. Detect the user's language from the first message and reply in it. Technical args (`--aspect_ratio 16:9`) stay English.
4. Don't batch-ask. Pick a sane default model and ask one thing at a time only if genuinely missing.
5. Don't pre-estimate cost. Just submit unless the user asks.
6. Pass `--wait` to `generate create` so the command blocks until done and prints the result URL itself. Avoid the two-step `create` → `wait` pattern.

## Workflow, generic generation

1. **Pick a model.** Practical defaults from production use:

   **Image:**
   - Brand product visual (Pinterest pin, lifestyle, hero banner, ad pack, virtual try-on) → use `higgsfield-product-photoshoot` instead. NOT this skill.
   - Branded ad image with avatar + product (Marketing Studio shape) → Marketing Studio Image (see Marketing Studio below)
   - Aesthetic UGC / fashion editorial / lifestyle character → Soul 2.0
   - Cinematic still frame → Soul Cinema
   - Highly characterful creative persona (text-only, distinctive) → Soul Cast
   - Locations / environments / no-people scenes → Soul Location (best in class)
   - Vector illustrations OR face edit + complex scene swap → Seedream 4.5
   - Soul Character (reference id from `higgsfield-soul-id`) → Soul 2.0 for stills, Soul Cinema for cinematic
   - Fast and cheap iteration → Z Image
   - Character or cartoon-style work → Nano Banana 2; step up to Nano Banana Pro on hard cases
   - **Default for everything else → GPT Image 2.** Graphic design, UI, banners, typography, and high-fidelity general generation.

   **Video:**
   - All advertising / commercial / branded ad video → Marketing Studio (see Marketing Studio below)
   - **Default all-purpose serious video (multi-shot, consistent identity, motion-heavy) → Seedance 2.0.** SOTA.
   - Single-plane scene without strong dynamics, cheaper than Seedance 2.0 → Kling 3.0
   - Cheap clean shot without cuts → Seedance 1.5 Pro
   - Cinema-grade highest fidelity → Cinema Studio Video 3.0
   - Cheap with strong physics, no audio needed → Minimax Hailuo
   - Fast batch / volume → Veo 3.1 Lite

   For the actual `--model` ID to pass to `higgsfield generate create`, run `higgsfield model list --json | jq` to map display names to IDs. See `references/model-catalog.md` for the full table.

2. **Pass media inputs straight to flags.** Media flags accept a local file path **or** a UUID. CLI auto-uploads paths and auto-detects job vs upload for UUIDs. No need to pre-upload. Each model declares accepted roles (`image`, `start_image`, `end_image`, `video`, `audio`), see `references/media-inputs.md`.
3. **Validate quickly.** If unsure of params, run `higgsfield model get <jst> --json` once and pass only what's needed. Use schema defaults otherw