Visual AISkills
E-CommercePromptsSkillsEntdecken
Korrigieren und bearbeiten
Reparieren failures
Essential

Beheben hands und faces

Reparieren 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.

Eingabe
broken image
Ausgabe
repaired image
Best fit

Reparieren failures

ADetailerImpact PackGPT Image 2

High-intent repair page

Job to be done

Erstellen repaired image aus 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 Eingabe: broken image.
  2. Pick a first tool path: ADetailer, Impact Pack, GPT Image 2.
  3. Generieren oder edit toward the promised deliverable: repaired image.
  4. Review the image für drift, broken details, unreadable text, und weak composition.
  5. Speichern the Prompt, references, und final settings that produced the best reusable result.

Copy-ready skill card

Skill: Beheben hands und faces

Szene: Korrigieren und bearbeiten / Reparieren failures

Eingabe: broken image

Ausgabe: repaired image

Tools: ADetailer, Impact Pack, GPT Image 2

Example Eingabe: Product image: generated bottle Visual mit warped label edge

Issue to fix: distorted Etikettentext und uneven cap Form

Must preserve: composition, lighting, product Farbe, Material

Edit scope: repair only the broken areas

Do not change: Aussagen, logo, flavor, size, oder packaging structure

Qualitätsprüfung: the result must match the promised Ausgabe und preserve the user intent.

Branch logic

  • If the user has not provided broken image, ask für it before generating the final repaired image.
  • If a reference image is provided, preserve the subject identity, proportions, und important details before changing style oder 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, oder object edges, inspect those details at full size before accepting the Ausgabe.
  • If the image will be veröffentlicht commercially oder 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 oder legally approved.
  • Do not use it when the user needs professional legal, medical, safety, oder regulated-compliance judgment.
  • Do not publish the result until Rechte, consent, authenticity, und 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, und Produktdetails are not visibly broken.
  • The result is usable in the target channel ohne another full regeneration.
  • Confirm the user has Rechte oder consent to use the source photo und avoid exposing private personal details.

Prompt starter

Erstellen repaired image für this task: Reparieren common AI portrait failures

Eingabe available: broken image

Example Eingabe: Product image: generated bottle Visual mit warped label edge

Issue to fix: distorted Etikettentext und uneven cap Form

Must preserve: composition, lighting, product Farbe, Material

Edit scope: repair only the broken areas

Do not change: Aussagen, logo, flavor, size, oder packaging structure

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

Keep the result faithful to the Eingabe und optimize für the reparieren failures scene.

Evidence and maintenance

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

Related workflows by search intent

Use these routes when the next user question shifts from this workflow into background replacement, product repair, ad variants, listing review, or prompt examples.

Prompt examples

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