Visual AISkills
Eコマースプロンプトスキル探す
仕事
Education と training
Useful

Training scenario image

生成 realistic workplace training scenarios

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
scenario brief
出力
training image
Best fit

Education と training

GPT Image 2FLUXIP-Adapter

Useful 向け L&D teams

Job to be done

作成 training image から scenario brief, using a task-first ワークフロー instead of a loose プロンプト dump.

Workflow type

text-to-image, character-consistency

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: scenario brief.
  2. Pick a first tool path: GPT Image 2, FLUX, IP-Adapter.
  3. 生成 または edit toward the promised deliverable: training 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: Training scenario image

シーン: 仕事 / Education と training

入力: scenario brief

出力: training image

Tools: GPT Image 2, FLUX, IP-Adapter

Example 入力: Input: scenario brief

Goal: describe the target channel, audience, style, と non-negotiable details.

Constraints: list what must stay unchanged と what can be creatively changed.

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 scenario brief, ask 向け it before generating the final training 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: FLUX, IP-Adapter.
  • 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 training 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  • Do not publish the result until 権利, consent, authenticity, と platform constraints have been checked.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 training image.
  • The main subject still reflects the original scenario brief.
  • 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.
  • Proofread all 表示中 text, labels, logos, と small typography before using the final image.

Prompt starter

作成 training image 向け this task: 生成 realistic workplace training scenarios

入力 available: scenario brief

Example 入力: Input: scenario brief

Goal: describe the target channel, audience, style, と non-negotiable details.

Constraints: list what must stay unchanged と what can be creatively changed.

Preferred tool path: GPT Image 2, FLUX, IP-Adapter

Keep the result faithful to the 入力 と optimize 向け the education と training scene.

Evidence and maintenance

Source IDs
IMG-001, IMG-002, IMG-033
Priority
Useful
Library track
Expansion

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