higgsfield-soul-id

作者: higgsfield-ai

训练一个灵魂角色——基于个人面部特征的个性化模型,用于Higgsfield生成身份保真的图像和视频。使用场景:“创建我的灵魂”、“训练我的面部”、“制作我的数字分身”、“为我构建头像”、“学习我的外貌”、“创建我的角色”、“为视频设置身份”、“我希望我的脸出现在生成的

npx skills add https://github.com/higgsfield-ai/skills --skill 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:

  1. If higgsfield is not on $PATH, install it:
    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.
  3. Soul training requires a paid plan (Basic+). If higgsfield account status shows free plan, tell the user before submitting.

UX Rules

  1. Be concise. No raw IDs in chat. Just say "Soul ready" with a name reference.
  2. Detect language and respond in it. CLI flags stay English.
  3. Ask for the smallest set of inputs: name + photos. Pick a sensible model variant.
  4. Polling is silent — training takes minutes. Don't repeat status updates.

Workflow

  1. Get name. One word, used for later reference. Ask if missing.
  2. Get photos. 5–20 face photos, varied angles and lighting. Local paths or already-uploaded IDs both work — --image accepts either.
  3. 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.
  4. 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.
  5. Wait. higgsfield soul-id wait <id>. Silent. Default timeout 30m.
  6. 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> --quality 2k --wait
higgsfield generate create soul_cinematic --prompt "..." --soul-id <ref_id> --quality 2k --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

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通过Higgsfield AI生成图像/视频。默认:GPT Image 2用于图像/设计/文字,Seedance 2.0用于视频,Nano Banana 2/Pro用于角色/参考图像工作,Marketing Studio用于包含头像/产品/钩子的广告、设置,以及Soul V2/Cinema/Cast/Location和Kling 3.0。使用场景:“生成一张图像”、“制作一段视频”、“让这张照片动起来”、“图像转视频”、“编辑/风格化/混音这张图像”、“制作一个短片”、“创建一则广告”、“制作UGC视频”、“产品演示”、“开箱”、“品牌视频”……
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