Visual AISkills
E-commercePromptsSkillsExplorer
Corriger et éditer
Réparer failures
Essential

Corriger hands et faces

Réparer 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.

Entrée
broken image
Sortie
repaired image
Best fit

Réparer failures

ADetailerImpact PackGPT Image 2

High-intent repair page

Job to be done

Créer repaired image depuis broken image, using a task-first workflow 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 entrée: broken image.
  2. Pick a first tool path: ADetailer, Impact Pack, GPT Image 2.
  3. Générer ou edit toward the promised deliverable: repaired image.
  4. Review the image pour drift, broken details, unreadable text, et weak composition.
  5. Enregistrer the prompt, references, et final settings that produced the best reusable result.

Copy-ready skill card

Skill: Corriger hands et faces

Scène: Corriger et éditer / Réparer failures

Entrée: broken image

Sortie: repaired image

Tools: ADetailer, Impact Pack, GPT Image 2

Example entrée: Product image: generated bottle visuel avec warped label edge

Issue to fix: distorted texte d'étiquette et uneven cap forme

Must preserve: composition, lighting, product couleur, matière

Edit scope: repair only the broken areas

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

Contrôle qualité: the result must match the promised sortie et preserve the user intent.

Branch logic

  • If the user has not provided broken image, ask pour it before generating the final repaired image.
  • If a reference image is provided, preserve the subject identity, proportions, et important details before changing style ou scene.
  • If the first result fails visuel 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 sortie.
  • If the image will be publiés 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 droits, consent, authenticity, et 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, et détails produit are not visibly broken.
  • The result is usable in the target channel sans another full regeneration.
  • Confirm the user has droits ou consent to use the source photo et avoid exposing private personal details.

Prompt starter

Créer repaired image pour this task: Réparer common AI portrait failures

Entrée available: broken image

Example entrée: Product image: generated bottle visuel avec warped label edge

Issue to fix: distorted texte d'étiquette et uneven cap forme

Must preserve: composition, lighting, product couleur, matière

Edit scope: repair only the broken areas

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

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

Keep the result faithful to the entrée et optimize pour the réparer failures scene.

Evidence and maintenance

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

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