S Skillteca
Receber por email
Explorar Categorias Coleções Newsletter
← Voltar para o catálogo

higgsfield-soul-id

Segurança Autor: aiskillstore

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) → us

367estrelas
Atualizado há 4 meses
Ver no GitHub ↗

Como adicionar

/plugin marketplace add aiskillstore/marketplace

O comando exato pode variar conforme o repositório. Confira o README no GitHub.

Para o autor da skill

Cole no README do seu repo

Mostra que sua skill está catalogada na Skillteca, gera backlink e tráfego rastreável.

[![Skillteca](https://www.skillteca.com.br/api/badge/higgsfield-soul-id/svg)](https://www.skillteca.com.br/skills/higgsfield-soul-id)
#ai #git

Skills relacionadas

Ver todas de Segurança →

security-research

63k

Habilidade de pesquisa de segurança em Modo Equipe que orquestra 3 caçadores de vulnerabilidades e 2 engenheiros de PoC para auditar um código, provar explorabilidade, classificar causas raiz e calibrar a severidade. É utilizada para revisão de segurança, pesquisa de vulnerabilidades, auditoria de explorabilidade e validação de modelo de ameaças.

Segurança por code-yeongyu

security-scanning-security-dependencies

41.2k

You are a security expert specializing in dependency vulnerability analysis, SBOM generation, and supply chain security. Scan project dependencies across multiple ecosystems to identify vulnerabilities, assess risks, and provide automated remediation strategies.

Segurança #ai #git por sickn33

vulnerability-scanner

41.2k

Advanced vulnerability analysis principles. OWASP 2025, Supply Chain Security, attack surface mapping, risk prioritization.

Segurança #ai #git por sickn33

dependency-management-deps-audit

41.2k

You are a dependency security expert specializing in vulnerability scanning, license compliance, and supply chain security. Analyze project dependencies for known vulnerabilities, licensing issues, outdated packages, and provide actionable remediation strategies.

Segurança #ai #git por sickn33

Alerta por categoria

Receba novas skills de Segurança toda segunda

1 email curto, só com as skills novas de Segurança. 4 minutos de leitura, sem spam, cancela com 1 clique.

Você confirma o email no primeiro envio. Sem spam. Cancela com 1 clique.

Ler descrição completa

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:

``bash curl -fsSL https://raw.githubusercontent.com/higgsfield-ai/cli/main/install.sh | sh ``

  1. If higgsfield account status fails with Session expired / Not authenticated, ask the user to run higgsfield auth login (interactive) and wait for confirmation.
  2. 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.
  4. --soul-2 — for image generation (default)
  5. --soul-cinematic — for cinematic / video work

Choose based on user's stated downstream use. Default to --soul-2.

  1. Submit.

``bash 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.

  1. Wait. higgsfield soul-id wait <id>. Silent. Default timeout 30m.
  2. 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
Compartilhar X LinkedIn