Visual AISkills
电商提示词技能库探索
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修复与编辑
修复 failures
Essential

修复 text layout

修复 unreadable text by regenerating 或 overlaying layout

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.

输入
image 使用 bad text
输出
clean image
Best fit

修复 failures

IdeogramGPT Image 2Recraft

Common AI failure 使用 strong practical search intent

Job to be done

创建 clean image 从 image 使用 bad text, using a task-first 工作流 instead of a loose 提示词 dump.

Workflow type

readable-text, editing

Quality promise

The output must preserve user intent, survive visual inspection, and be ready for the target channel.

Workflow outline

  1. Prepare the source 输入: image 使用 bad text.
  2. Pick a first tool path: Ideogram, GPT Image 2, Recraft.
  3. 生成 或 edit toward the promised deliverable: clean image.
  4. Review the image 用于 drift, broken details, unreadable text, 和 weak composition.
  5. 保存 the 提示词, references, 和 final settings that produced the best reusable result.

Copy-ready skill card

Skill: 修复 text layout

场景: 修复与编辑 / 修复 failures

输入: image 使用 bad text

输出: clean image

Tools: Ideogram, GPT Image 2, Recraft

Example 输入: Product image: generated bottle 视觉 使用 warped label edge

Issue to fix: distorted 标签文字 和 uneven cap 形状

Must preserve: composition, lighting, product 颜色, 材质

Edit scope: repair only the broken areas

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

质量检查: the result must match the promised 输出 和 preserve the user intent.

Branch logic

  • If the user has not provided image 使用 bad text, ask 用于 it before generating the final clean 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 视觉 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: GPT Image 2, Recraft.
  • If the task depends on masks, text, 或 object edges, inspect those details at full size before accepting the 输出.
  • If the image will be 已发布 commercially 或 publicly, run the risk guardrails before export.

When not to use

  • Do not use this as proof that the generated clean 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 权利, 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 clean image.
  • The main subject still reflects the original image 使用 bad text.
  • Text, hands, logos, edges, 和 产品细节 are not visibly broken.
  • The result is usable in the target channel 且不 another full regeneration.
  • Proofread all 可见 text, labels, logos, 和 small typography before using the final image.

Prompt starter

创建 clean image 用于 this task: 修复 unreadable text by regenerating 或 overlaying layout

输入 available: image 使用 bad text

Example 输入: Product image: generated bottle 视觉 使用 warped label edge

Issue to fix: distorted 标签文字 和 uneven cap 形状

Must preserve: composition, lighting, product 颜色, 材质

Edit scope: repair only the broken areas

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

Preferred tool path: Ideogram, GPT Image 2, Recraft

Keep the result faithful to the 输入 和 optimize 用于 the 修复 failures scene.

Evidence and maintenance

Source IDs
IMG-002, IMG-004, IMG-057
Priority
Essential
Library track
Starter

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