Visual AISkills
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Исправление и редактирование
Исправить failures
Essential

Исправить hands и faces

Исправить 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.

Ввод
broken image
Результат
repaired image
Best fit

Исправить failures

ADetailerImpact PackGPT Image 2

High-intent repair page

Job to be done

Создать repaired image из broken image, using a task-first воркфлоу instead of a loose промпт 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 ввод: broken image.
  2. Pick a first tool path: ADetailer, Impact Pack, GPT Image 2.
  3. Сгенерировать или edit toward the promised deliverable: repaired image.
  4. Review the image для drift, broken details, unreadable text, и weak composition.
  5. Сохранить the промпт, references, и final settings that produced the best reusable result.

Copy-ready skill card

Skill: Исправить hands и faces

Сценарий: Исправление и редактирование / Исправить failures

Ввод: broken image

Результат: repaired image

Tools: ADetailer, Impact Pack, GPT Image 2

Example ввод: Product image: generated bottle визуал с warped label edge

Issue to fix: distorted текст этикетки и uneven cap форма

Must preserve: composition, lighting, product цвет, материал

Edit scope: repair only the broken areas

Do not change: заявления, logo, flavor, size, или packaging structure

Проверка качества: the result must match the promised результат и preserve the user intent.

Branch logic

  • If the user has not provided broken image, ask для it before generating the final repaired image.
  • If a reference image is provided, preserve the subject identity, proportions, и important details before changing style или scene.
  • If the first result fails визуал 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, или object edges, inspect those details at full size before accepting the результат.
  • If the image will be опубликовано commercially или 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 или legally approved.
  • Do not use it when the user needs professional legal, medical, safety, или regulated-compliance judgment.
  • Do not publish the result until права, consent, authenticity, и 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, и детали товара are not visibly broken.
  • The result is usable in the target channel без another full regeneration.
  • Confirm the user has права или consent to use the source photo и avoid exposing private personal details.

Prompt starter

Создать repaired image для this task: Исправить common AI portrait failures

Ввод available: broken image

Example ввод: Product image: generated bottle визуал с warped label edge

Issue to fix: distorted текст этикетки и uneven cap форма

Must preserve: composition, lighting, product цвет, материал

Edit scope: repair only the broken areas

Do not change: заявления, logo, flavor, size, или packaging structure

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

Keep the result faithful to the ввод и optimize для the исправить failures scene.

Evidence and maintenance

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

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