Visual AISkills
Eコマースプロンプトスキル探す
修正と編集
修復 failures
Essential

修正 hands と faces

修復 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.

入力
broken image
出力
repaired image
Best fit

修復 failures

ADetailerImpact PackGPT Image 2

High-intent repair page

Job to be done

作成 repaired image から broken image, using a task-first ワークフロー instead of a loose プロンプト 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 入力: broken image.
  2. Pick a first tool path: ADetailer, Impact Pack, GPT Image 2.
  3. 生成 または edit toward the promised deliverable: repaired image.
  4. Review the image 向け drift, broken details, unreadable text, と weak composition.
  5. 保存 the プロンプト, references, と final settings that produced the best reusable result.

Copy-ready skill card

Skill: 修正 hands と faces

シーン: 修正と編集 / 修復 failures

入力: broken image

出力: repaired image

Tools: ADetailer, Impact Pack, GPT Image 2

Example 入力: Product image: generated bottle ビジュアル で warped label edge

Issue to fix: distorted ラベル文字 と uneven cap 形状

Must preserve: composition, lighting, product 色, 素材

Edit scope: repair only the broken areas

Do not change: 訴求, logo, flavor, size, または packaging structure

品質チェック: the result must match the promised 出力 と preserve the user intent.

Branch logic

  • If the user has not provided broken image, ask 向け it before generating the final repaired image.
  • If a reference image is provided, preserve the subject identity, proportions, と important details before changing style または scene.
  • If the first result fails ビジュアル 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, または object edges, inspect those details at full size before accepting the 出力.
  • If the image will be 公開済み commercially または 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 または legally approved.
  • Do not use it when the user needs professional legal, medical, safety, または regulated-compliance judgment.
  • Do not publish the result until 権利, consent, authenticity, と platform constraints have been checked.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, と 商品ディテール are not visibly broken.
  • The result is usable in the target channel 変更せずに another full regeneration.
  • Confirm the user has 権利 または consent to use the source photo と avoid exposing private personal details.

Prompt starter

作成 repaired image 向け this task: 修復 common AI portrait failures

入力 available: broken image

Example 入力: Product image: generated bottle ビジュアル で warped label edge

Issue to fix: distorted ラベル文字 と uneven cap 形状

Must preserve: composition, lighting, product 色, 素材

Edit scope: repair only the broken areas

Do not change: 訴求, logo, flavor, size, または packaging structure

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

Keep the result faithful to the 入力 と optimize 向け the 修復 failures scene.

Evidence and maintenance

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

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