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higgsfield-soul-id

by @higgsfield-aiv
4.6(24)

训练个性化面部AI模型,保持人物身份一致性,跨场景复用生成,AI Agent Skill,提升工作效率和自动化能力

generative-aiimage-generationai-agentspersonalizationGitHub
安装方式
npx skills add higgsfield-ai/skills --skill higgsfield-soul-id
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Before / After 效果对比

1
使用前

每次生成新内容时重新输入人物特征描述,导致AI生成的人物外观不一致,需要反复调整提示词和多次重试,浪费时间和Token

使用后

一次性训练专属面部模型,在所有后续生成中自动保持人物身份一致性,无需重复描述特征,大幅提升生成效率和准确度

SKILL.md

higgsfield-soul-id

Higgsfield Soul Character

Train a face-faithful identity model. Reusable across all Soul-powered generations.

Step 0 — Bootstrap

Before any other command:

  • If higgsfield is not on $PATH, install it:
curl -fsSL https://raw.githubusercontent.com/higgsfield-ai/cli/main/install.sh | sh

  • If higgsfield account status fails with Session expired / Not authenticated, ask the user to run higgsfield auth login (interactive) and wait for confirmation.

  • Soul training requires a paid plan (Basic+). If higgsfield account status shows free plan, tell the user before submitting.

UX Rules

  • Be concise. No raw IDs in chat. Just say "Soul ready" with a name reference.

  • Detect language and respond in it. CLI flags stay English.

  • Ask for the smallest set of inputs: name + photos. Pick a sensible model variant.

  • Polling is silent — training takes minutes. Don't repeat status updates.

Workflow

  • Get name. One word, used for later reference. Ask if missing.

  • Get photos. 5–20 face photos, varied angles and lighting. Local paths or already-uploaded IDs both work — --image accepts either.

  • Pick variant.

--soul-2 — for image generation (default)

  • --soul-cinematic — for cinematic / video work Choose based on user's stated downstream use. Default to --soul-2.

  • Submit.

higgsfield soul-id create --name "<name>" --soul-2 --image ./photo1.png --image ./photo2.png ...
higgsfield soul-id create --name "<name>" --soul-2 --image <upload_id> --image <upload_id> ...

CLI auto-uploads paths. Captures returned reference id.

  • Wait. higgsfield soul-id wait <id>. Silent. Default timeout 30m.

  • Deliver. "Soul <name> ready. Use in generate with --soul-id <id>."

Use the Soul

Once trained, pass to higgsfield-generate:

higgsfield generate create text2image_soul_v2 --prompt "..." --soul-id <ref_id> --wait
higgsfield generate create soul_cinema_studio --prompt "..." --soul-id <ref_id> --wait

Listing existing Souls

higgsfield soul-id list                   # all references
higgsfield soul-id get <id>               # one by id

Errors

  • Minimum Basic plan required — user is on free plan; tell them.

  • Training failed — check photos quality (5+ unique faces, well-lit).

  • Session expiredhiggsfield auth login.

Reference docs

  • references/photo-guide.md — what photos work best

  • references/troubleshooting.md — common training failures

Weekly Installs2.4KRepositoryhiggsfield-ai/skillsGitHub Stars45First Seen1 day agoSecurity AuditsGen Agent Trust HubPassSocketPassSnykFail

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统计数据

安装量21.5K
评分4.6 / 5.0
版本
更新日期2026年5月23日
对比案例1 组

用户评分

4.6(24)
5
71%
4
25%
3
4%
2
0%
1
0%

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创建2026年5月6日
最后更新2026年5月23日