[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6J87NV3HQP8Z2PETDCQKBWN":3,"skill-same:01M6J87NV3HQP8Z2PETDCQKBWN":97},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":16,"categories":17,"keywords":26,"publishedAt":47,"linkOnly":48,"markdownContent":49,"markdownBody":50,"frontMatter":51,"refName":55,"commitSha":56,"skillDirectory":57,"forksCount":58,"repositoryHtmlUrl":59,"repositoryHomepageUrl":6,"ownerHtmlUrl":60,"ownerBlogUrl":61,"ownerDescription":62,"updatedAt":63,"install":64,"resources":77},"01M6J87NV3HQP8Z2PETDCQKBWN","higgsfield-soul-id",null,"Train a Soul Character — a personalized model on a person's face that\nHiggsfield uses for identity-faithful image and video generation.\nUse when: \"create my Soul\", \"train my face\", \"make my digital twin\",\n\"build me an avatar\", \"learn my appearance\", \"create a character of me\",\n\"set up identity for video\", \"I want my face in generated images\".\nChain: train Soul (one-time, returns reference_id) → use in\nhiggsfield-generate via `--soul-id \u003Cid>` with models like\n`text2image_soul_v2` or `soul_cinematic`.\nNOT for: one-shot face swaps (use higgsfield-generate with --image),\nnamed-character \u002F non-photo avatars (use higgsfield-generate with prompt).","sgomez-dev\u002Fclaude-skills","sgomez-dev","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F81492002?v=4","01M6J7TFP3PR3PTGBAG3N9Z007","Santiago Gómez de la Torre Romero","01M6J7TFT704JY40NG1YE3V5JQ",1,"MIT","https:\u002F\u002Fgithub.com\u002Fsgomez-dev\u002Fclaude-skills\u002Fblob\u002Fmain\u002Fexternal\u002Fhiggsfield-soul-id\u002FSKILL.md",[18,23],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000016","图像与多媒体","SCENARIO","使用场景",{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发",[27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46],"higgsfield soul id","id","higgsfield","soul","up","digital twin","chain","time","me","images","image","generated","video generation","model","Bash","Video","SET","learn","generate","create","2026-11-10 10:12:30",false,"---\nversion: 0.13.0\nname: higgsfield-soul-id\ndescription: |\n  Train a Soul Character — a personalized model on a person's face that\n  Higgsfield uses for identity-faithful image and video generation.\n  Use when: \"create my Soul\", \"train my face\", \"make my digital twin\",\n  \"build me an avatar\", \"learn my appearance\", \"create a character of me\",\n  \"set up identity for video\", \"I want my face in generated images\".\n  Chain: train Soul (one-time, returns reference_id) → use in\n  higgsfield-generate via `--soul-id \u003Cid>` with models like\n  `text2image_soul_v2` or `soul_cinematic`.\n  NOT for: one-shot face swaps (use higgsfield-generate with --image),\n  named-character \u002F non-photo avatars (use higgsfield-generate with prompt).\nargument-hint: \"[name] [photo paths...]\"\nallowed-tools: Bash\n---\n\n# Higgsfield Soul Character\n\nTrain a face-faithful identity model. Reusable across all Soul-powered generations.\n\n## Step 0 — Bootstrap\n\nBefore any other command:\n\n1. If `higgsfield` is not on `$PATH`, install it:\n   ```bash\n   curl -fsSL https:\u002F\u002Fraw.githubusercontent.com\u002Fhiggsfield-ai\u002Fcli\u002Fmain\u002Finstall.sh | sh\n   ```\n2. If `higgsfield account status` fails with `Session expired` \u002F `Not authenticated`, ask the user to run `higgsfield auth login` (interactive) and wait for confirmation.\n3. Soul training requires a paid plan (Basic+). If `higgsfield account status` shows free plan, tell the user before submitting.\n\n## UX Rules\n\n1. Be concise. No raw IDs in chat. Just say \"Soul ready\" with a name reference.\n2. Detect language and respond in it. CLI flags stay English.\n3. Ask for the smallest set of inputs: name + photos. Pick a sensible model variant.\n4. Polling is silent — training takes minutes. Don't repeat status updates.\n\n## Workflow\n\n1. **Get name.** One word, used for later reference. Ask if missing.\n2. **Get photos.** 5–20 face photos, varied angles and lighting. Local paths or already-uploaded IDs both work — `--image` accepts either.\n3. **Pick variant.**\n   - `--soul-2` — for image generation (default)\n   - `--soul-cinematic` — for cinematic \u002F video work\n   Choose based on user's stated downstream use. Default to `--soul-2`.\n4. **Submit.**\n   ```bash\n   higgsfield soul-id create --name \"\u003Cname>\" --soul-2 --image .\u002Fphoto1.png --image .\u002Fphoto2.png ...\n   higgsfield soul-id create --name \"\u003Cname>\" --soul-2 --image \u003Cupload_id> --image \u003Cupload_id> ...\n   ```\n   CLI auto-uploads paths. Captures returned reference id.\n5. **Wait.** `higgsfield soul-id wait \u003Cid>`. Silent. Default timeout 30m.\n6. **Deliver.** \"Soul `\u003Cname>` ready. Use in generate with `--soul-id \u003Cid>`.\"\n\n## Use the Soul\n\nOnce trained, pass to `higgsfield-generate`:\n\n```bash\nhiggsfield generate create text2image_soul_v2 --prompt \"...\" --soul-id \u003Cref_id> --quality 2k --wait\nhiggsfield generate create soul_cinematic --prompt \"...\" --soul-id \u003Cref_id> --quality 2k --wait\n```\n\n`--soul-id` is sent as the model's `custom_reference_id`. For a curated Soul style, list styles with `higgsfield preset list soul-v2` and pass the chosen id as `--style_id` on `text2image_soul_v2`. `--style_id` cannot be combined with `--image`.\n\n## Listing existing Souls\n\n```bash\nhiggsfield soul-id list                   # all references\nhiggsfield soul-id get \u003Cid>               # one by id\n```\n\n## Errors\n\n- `Minimum Basic plan required` — user is on free plan; tell them.\n- `Training failed` — check photos quality (5+ unique faces, well-lit).\n- `Session expired` → `higgsfield auth login`.\n\n## Reference docs\n\n- `references\u002Fphoto-guide.md` — what photos work best\n- `references\u002Ftroubleshooting.md` — common training failures\n","# Higgsfield Soul Character\n\nTrain a face-faithful identity model. Reusable across all Soul-powered generations.\n\n## Step 0 — Bootstrap\n\nBefore any other command:\n\n1. If `higgsfield` is not on `$PATH`, install it:\n   ```bash\n   curl -fsSL https:\u002F\u002Fraw.githubusercontent.com\u002Fhiggsfield-ai\u002Fcli\u002Fmain\u002Finstall.sh | sh\n   ```\n2. If `higgsfield account status` fails with `Session expired` \u002F `Not authenticated`, ask the user to run `higgsfield auth login` (interactive) and wait for confirmation.\n3. Soul training requires a paid plan (Basic+). If `higgsfield account status` shows free plan, tell the user before submitting.\n\n## UX Rules\n\n1. Be concise. No raw IDs in chat. Just say \"Soul ready\" with a name reference.\n2. Detect language and respond in it. CLI flags stay English.\n3. Ask for the smallest set of inputs: name + photos. Pick a sensible model variant.\n4. Polling is silent — training takes minutes. Don't repeat status updates.\n\n## Workflow\n\n1. **Get name.** One word, used for later reference. Ask if missing.\n2. **Get photos.** 5–20 face photos, varied angles and lighting. Local paths or already-uploaded IDs both work — `--image` accepts either.\n3. **Pick variant.**\n   - `--soul-2` — for image generation (default)\n   - `--soul-cinematic` — for cinematic \u002F video work\n   Choose based on user's stated downstream use. Default to `--soul-2`.\n4. **Submit.**\n   ```bash\n   higgsfield soul-id create --name \"\u003Cname>\" --soul-2 --image .\u002Fphoto1.png --image .\u002Fphoto2.png ...\n   higgsfield soul-id create --name \"\u003Cname>\" --soul-2 --image \u003Cupload_id> --image \u003Cupload_id> ...\n   ```\n   CLI auto-uploads paths. Captures returned reference id.\n5. **Wait.** `higgsfield soul-id wait \u003Cid>`. Silent. Default timeout 30m.\n6. **Deliver.** \"Soul `\u003Cname>` ready. Use in generate with `--soul-id \u003Cid>`.\"\n\n## Use the Soul\n\nOnce trained, pass to `higgsfield-generate`:\n\n```bash\nhiggsfield generate create text2image_soul_v2 --prompt \"...\" --soul-id \u003Cref_id> --quality 2k --wait\nhiggsfield generate create soul_cinematic --prompt \"...\" --soul-id \u003Cref_id> --quality 2k --wait\n```\n\n`--soul-id` is sent as the model's `custom_reference_id`. 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