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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).

DeepseekModel 官方收录技能 质量 优秀 · 90 v1.0.0

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https://deepseekmodel.com/api/download.php?id=higgsfield-ai-skills-higgsfield-soul-id-skill-md&format=skill
下载 .skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用
.skill 文件中 system_prompt 字段的实际内容。
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
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下载的 .skill 包内含以下字段。
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)
同一份技能可按不同平台格式导出。
.skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用 下载
.skillpro 增强格式,额外含脚本 / 工具 / 依赖 / 钩子占位 下载
.json 纯 JSON 导出,只含 system_prompt 与模型参数 下载
Coze 带 frontmatter 的 Markdown,Coze 平台导入用 下载
Dify Dify DSL,创建应用后直接导入 下载

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