higgsfield-soul-id
Train a Soul Character — a personalized model on a person's face that Higgsfield uses for identity-faithful image and video generation. Use when: "create my Soul", "train my face", "make my digital twin", "build me an avatar", "learn my appearance", "create a character of me", "set up identity for video", "I want my face in generated images". Chain: train Soul (one-time, returns reference_id) → use in higgsfield-generate via `--soul-id <id>` with models like `text2image_soul_v2` or `soul_cinema_studio`. NOT for: one-shot face swaps (use higgsfield-generate with --image), named-character / non-photo avatars (use higgsfield-generate with prompt).
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https://deepseekmodel.com/api/download.php?id=higgsfield-ai-skills-higgsfield-soul-id-skill-md&format=skill
version 0.12.0 name higgsfield-soul-id description Train a Soul Character — a personalized model on a person's face that Higgsfield uses for identity-faithful image and video generation. Use when: "create my Soul", "train my face", "make my digital twin", "build me an avatar", "learn my appearance", "create a character of me", "set up identity for video", "I want my face in generated images". Chain: train Soul (one-time, returns reference_id) → use in higgsfield-generate via `--soul-id <id>` with models like `text2image_soul_v2` or `soul_cinema_studio`. NOT for: one-shot face swaps (use higgsfield-generate with --image), named-character / non-photo avatars (use higgsfield-generate with prompt). argument-hint [name] [photo paths...] allowed-tools Bash 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> --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 expired → higgsfield auth login . Reference docs references/photo-guide.md — what photos work best references/troubleshooting.md — common training failures
该技能未提供触发词。
| 字段 | 说明 |
|---|---|
| format | 格式标识(skill/v1) |
| skill_id | 技能唯一 ID |
| name | 技能名称 |
| version | 版本号 |
| description | 技能描述 |
| category | 所属分类(数组) |
| trigger_words | 触发词列表 |
| tags | 标签列表 |
| source | 来源标识 |
| source_url | 来源链接(本页地址) |
| exported_at | 导出时间(每次下载生成) |
| system_prompt | 系统提示词正文 |
| model_config | 模型参数:provider / model / temperature / max_tokens / top_p |
| examples | 示例 |
| install_guide | 各平台导入说明(Coze / Dify / Claude / 自定义框架) |