Visual AISkills
EcommercePromptsSkillsExplorar
Corrigir e editar
Reparar failures
Essential

Corrigir hands e faces

Reparar common AI portrait failures

Use this skill when you need a repeatable image workflow, not a one-off prompt guess. It defines the input, output, tool path, and quality gate before generation starts.

Entrada
broken image
Saída
repaired image
Best fit

Reparar failures

ADetailerImpact PackGPT Image 2

High-intent repair page

Job to be done

Criar repaired image a partir de broken image, using a task-first fluxo de trabalho instead of a loose prompt dump.

Workflow type

inpainting, detailer

Quality promise

The output must preserve user intent, survive visual inspection, and be ready for the target channel.

Workflow outline

  1. Prepare the source entrada: broken image.
  2. Pick a first tool path: ADetailer, Impact Pack, GPT Image 2.
  3. Gerar ou edit toward the promised deliverable: repaired image.
  4. Review the image para drift, broken details, unreadable text, e weak composition.
  5. Salvar the prompt, references, e final settings that produced the best reusable result.

Copy-ready skill card

Skill: Corrigir hands e faces

Cenário: Corrigir e editar / Reparar failures

Entrada: broken image

Saída: repaired image

Tools: ADetailer, Impact Pack, GPT Image 2

Example entrada: Product image: generated bottle visual com warped label edge

Issue to fix: distorted texto do rótulo e uneven cap forma

Must preserve: composition, lighting, product cor, material

Edit scope: repair only the broken areas

Do not change: alegações, logo, flavor, size, ou packaging structure

Verificação de qualidade: the result must match the promised saída e preserve the user intent.

Branch logic

  • If the user has not provided broken image, ask para it before generating the final repaired image.
  • If a reference image is provided, preserve the subject identity, proportions, e important details before changing style ou scene.
  • If the first result fails visual inspection, fix the smallest broken area first instead of regenerating the whole image.
  • If the first tool path fails, switch to the next listed option: Impact Pack, GPT Image 2.
  • If the task depends on masks, text, ou object edges, inspect those details at full size before accepting the saída.
  • If the image will be publicadas commercially ou publicly, run the risk guardrails before export.

When not to use

  • Do not use this as proof that the generated repaired image is factually real ou legally approved.
  • Do not use it when the user needs professional legal, medical, safety, ou regulated-compliance judgment.
  • Do not publish the result until direitos, consent, authenticity, e platform constraints have been checked.

Copy distribution

Take this skill into your AI tool as a prompt, a workflow card, or a portable SKILL.md draft.

Quality gate

  • The final asset clearly matches the requested repaired image.
  • The main subject still reflects the original broken image.
  • Text, hands, logos, edges, e detalhes do produto are not visibly broken.
  • The result is usable in the target channel sem another full regeneration.
  • Confirm the user has direitos ou consent to use the source photo e avoid exposing private personal details.

Prompt starter

Criar repaired image para this task: Reparar common AI portrait failures

Entrada available: broken image

Example entrada: Product image: generated bottle visual com warped label edge

Issue to fix: distorted texto do rótulo e uneven cap forma

Must preserve: composition, lighting, product cor, material

Edit scope: repair only the broken areas

Do not change: alegações, logo, flavor, size, ou packaging structure

Preferred tool path: ADetailer, Impact Pack, GPT Image 2

Keep the result faithful to the entrada e optimize para the reparar failures scene.

Evidence and maintenance

Source IDs
IMG-018, IMG-024, IMG-025, IMG-055
Priority
Essential
Library track
Starter

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