Visual AISkills
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修復與編輯
修復 failures
Essential

修復 hands 和 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.

輸入
broken image
輸出
repaired image
Best fit

修復 failures

ADetailerImpact PackGPT Image 2

High-intent repair page

Job to be done

建立 repaired image 從 broken image, using a task-first 工作流 instead of a loose 提示詞 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 輸入: broken image.
  2. Pick a first tool path: ADetailer, Impact Pack, GPT Image 2.
  3. 生成 或 edit toward the promised deliverable: repaired image.
  4. Review the image 用於 drift, broken details, unreadable text, 和 weak composition.
  5. 儲存 the 提示詞, references, 和 final settings that produced the best reusable result.

Copy-ready skill card

Skill: 修復 hands 和 faces

場景: 修復與編輯 / 修復 failures

輸入: broken image

輸出: repaired image

Tools: ADetailer, Impact Pack, GPT Image 2

Example 輸入: Product image: generated bottle 視覺 使用 warped label edge

Issue to fix: distorted 標籤文字 和 uneven cap 形狀

Must preserve: composition, lighting, product 顏色, 材質

Edit scope: repair only the broken areas

Do not change: 聲明, logo, flavor, size, 或 packaging structure

品質檢查: the result must match the promised 輸出 和 preserve the user intent.

Branch logic

  • If the user has not provided broken image, ask 用於 it before generating the final repaired image.
  • If a reference image is provided, preserve the subject identity, proportions, 和 important details before changing style 或 scene.
  • If the first result fails 視覺 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, 或 object edges, inspect those details at full size before accepting the 輸出.
  • If the image will be 已發布 commercially 或 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 或 legally approved.
  • Do not use it when the user needs professional legal, medical, safety, 或 regulated-compliance judgment.
  • Do not publish the result until 權利, consent, authenticity, 和 platform constraints have been checked.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, 和 產品細節 are not visibly broken.
  • The result is usable in the target channel 且不 another full regeneration.
  • Confirm the user has 權利 或 consent to use the source photo 和 avoid exposing private personal details.

Prompt starter

建立 repaired image 用於 this task: 修復 common AI portrait failures

輸入 available: broken image

Example 輸入: Product image: generated bottle 視覺 使用 warped label edge

Issue to fix: distorted 標籤文字 和 uneven cap 形狀

Must preserve: composition, lighting, product 顏色, 材質

Edit scope: repair only the broken areas

Do not change: 聲明, logo, flavor, size, 或 packaging structure

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

Keep the result faithful to the 輸入 和 optimize 用於 the 修復 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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