Visual AISkills
EcommercePromptsSkillsExplorar
Reparar y editar
Reparar failures
Essential

Arreglar hands y 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
Salida
repaired image
Best fit

Reparar failures

ADetailerImpact PackGPT Image 2

High-intent repair page

Job to be done

Crear repaired image desde broken image, using a task-first flujo de trabajo 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. Generar o edit toward the promised deliverable: repaired image.
  4. Review the image para drift, broken details, unreadable text, y weak composition.
  5. Guardar the prompt, references, y final settings that produced the best reusable result.

Copy-ready skill card

Skill: Arreglar hands y faces

Escena: Reparar y editar / Reparar failures

Entrada: broken image

Salida: repaired image

Tools: ADetailer, Impact Pack, GPT Image 2

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

Issue to fix: distorted texto de etiqueta y uneven cap forma

Must preserve: composition, lighting, product color, material

Edit scope: repair only the broken areas

Do not change: afirmaciones, logo, flavor, size, o packaging structure

Control de calidad: the result must match the promised salida y 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, y important details before changing style o 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, o object edges, inspect those details at full size before accepting the salida.
  • If the image will be publicadas commercially o 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 o legally approved.
  • Do not use it when the user needs professional legal, medical, safety, o regulated-compliance judgment.
  • Do not publish the result until derechos, consent, authenticity, y 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, y detalles del producto are not visibly broken.
  • The result is usable in the target channel sin another full regeneration.
  • Confirm the user has derechos o consent to use the source photo y avoid exposing private personal details.

Prompt starter

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

Entrada available: broken image

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

Issue to fix: distorted texto de etiqueta y uneven cap forma

Must preserve: composition, lighting, product color, material

Edit scope: repair only the broken areas

Do not change: afirmaciones, logo, flavor, size, o packaging structure

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

Keep the result faithful to the entrada y 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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