Visual AISkills
Eコマースプロンプトスキル探す

コピーして使えるAI画像プロンプト例。品質チェックまで一緒に。

ここでは、単なる雰囲気ワードではなく、実際のビジュアル制作タスクに合わせたAI画像プロンプトを整理しています。商品画像、背景差し替え、広告、カバー、サムネイル、プロフィール写真、画像修正まで、何を守り、何を変え、どう確認するかを明確にします。

18個のコピー用例
タスク起点の構成
品質チェック付き
プロンプト公式

スタイルより先に、制約を書く。

1Subject または product reference
2Input image または source constraint
3シーン と channel
4Style と lighting
5Composition と negative space
6Guardrails と what must not change
7Quality gate before publishing
Direct answer

What is an AI画像プロンプト?

An AI画像プロンプト is a short ビジュアル brief that tells an image model what to create, what source または reference to respect, what scene と style to use, と how the result will be checked. A useful プロンプト is tied to a task, not just an aesthetic style.

Direct answer

What is the best プロンプト structure?

The best プロンプト structure is subject, source constraint, scene, style, composition, must-keep details, と 品質ゲート. For product, portrait, cover, または ad work, the must-keep details matter more than decorative style words.

Direct answer

How should beginners use these examples?

Beginners should copy one example, replace the bracketed task details, then inspect the 出力 against the guardrail. If the image will be 公開済み, open the full ワークフロー 向け 商品再現性, 権利, platform, と authenticity checks.

The prompt guide behind the examples

Search demand splits into four jobs: finding ready-made AI image prompt examples, learning how to write an AI image generator prompt, adapting prompts for tools such as ChatGPT image generation, and turning an image back into a prompt structure. This page keeps those jobs together so users can copy a prompt first, then open the deeper workflow when accuracy matters.

Prompt examples, not prompt soup

Each example is tied to a real visual task and a full workflow, so users know when to use it and how to judge the output.

Guardrails built in

Product fidelity, identity preservation, platform risk, rights, and truthful claims are part of the prompt structure.

Copy first, learn next

Use a prompt immediately, then open the full workflow when the task needs branch logic or stronger quality gates.

Keyword clusters covered on this page

These clusters keep the page focused on prompt/examples acquisition while routing commercial image work into ecommerce skills.

Product background prompt

AI画像プロンプト例

ai image promptai image prompt examplesai image prompt ideasai image prompt tips

使う this cluster 向け コピー可能な examples, formulas, mistakes to avoid, と task-based プロンプト cards.

AI image generator プロンプト

ai image generator promptprompt for ai image generatorai image generator prompt examplesbest prompt for ai image generator

使う this cluster 向け the reusable プロンプト formula と direct answers about how to write プロンプト.

ChatGPT と model-specific プロンプト

chat gpt image promptgpt image promptgemini prompt for image generationnano banana prompts

使う this cluster as model-flexible wording 変更せずに making the page depend on one tool または brand.

Image to プロンプト

image to prompt aiai image to promptreverse ai image promptai prompt generator from image

使う this cluster 向け reverse-プロンプト guidance と future tool ideas, not as the main page promise yet.

Question patterns covered by this guide

The prompt question data clusters around writing prompts, avoiding failures, generating prompts from images, and adapting model-specific wording. These routes answer the question first, then point to the right workflow.

Prompt FAQ

Text プロンプト how-to questions

how to generate ai image from text prompthow to create ai image from text prompthow to write a prompt for ai image generator

使う the プロンプト formula first: subject, source constraint, scene, style, composition, must-keep details, と 品質チェック.

コピー text プロンプト例

Negative プロンプト questions

what is a negative prompt in ai image generationwhat is negative prompt in ai image generationnegative prompt in ai image generation what is it

Treat negative プロンプト as an avoid-list 向け common failures, not as the main プロンプト strategy.

Read the FAQ answer

Prompt generator questions

what is an ai image prompt generatorwhat is the best ai image prompt generatorai prompt generator from image

Prompt generators are useful 向け first 下書き, but full ワークフロー are better when the 出力 needs accuracy, 権利, または publishing checks.

閲覧 full ワークフロー

Image-to-プロンプト questions

how to get ai prompt from imagehow to extract prompt from ai generated imagehow to generate prompt from image ai

使う image-to-プロンプト as analysis と rewriting. Do not copy protected characters, brand assets, または private 素材 から the 元画像.

Read image-to-プロンプト guidance

Model-specific failure questions

why does grok ai ignore parts of image promptnano banana ai image generator how to use promptflux ai image generation how to use prompt

Keep model-specific questions on this page 向け now. A separate page should wait until GSC または clean Ahrefs exports prove distinct demand.

See model-specific guidance
Reddit-derived answer

Why AI image generators ignore parts of prompts.

AI image models often ignore prompts when the request mixes too many goals, uses vague modifiers, asks for impossible details, or hides the most important constraints near the end. A better prompt names the job, source, scene, style, must-keep details, and quality check in order.

Copy examples

The プロンプト mixes too many jobs

A model may ignore details when the プロンプト asks 向け product accuracy, a new scene, text rendering, a style transfer, と a layout all at once.

Constraints are buried too late

Put must-keep details near the beginning: 元画像, product facts, identity, ラベル文字, logos, と what must not change.

Modifiers replace the actual brief

Style words such as cinematic または premium help only after the プロンプト has defined the task, source, composition, と 品質ゲート.

Negative プロンプト are doing too much

使う negative プロンプト as an avoid-list, not the main strategy. Rewrite the positive プロンプト so the model knows what to preserve.

Bad prompt to better prompt.

Reddit prompt questions often ask for a magic phrase. The better pattern is less magical: define the job, protect the source, then inspect the result before using it.

Prompt job

Product photo プロンプト

Bad: Make this product look premium と realistic.

Better prompt

使う the uploaded 商品写真 as the fixed reference. 作成 a premium Eコマース 商品画像 で clean studio lighting, realistic shadow, と room 向け short headline copy. Preserve product 形状, ラベル文字, ロゴ位置, 素材, 色, と スケール. Do not add fake badges, reviews, または 訴求.

Quality check

Compare the 出力 against the product reference before publishing. The scene can improve; the product facts cannot drift.

Prompt job

Background replacement プロンプト

Bad: Change the background to something cool.

Better prompt

置き換え only the background of the uploaded 商品写真. Keep the product pixels, edges, label, logo, 色, 素材, と proportions unchanged. 使う a clean Eコマース studio surface で believable contact shadow と simple negative space.

Quality check

Inspect masks, edges, shadows, reflections, と 商品ディテール at full size.

Prompt job

Creator image プロンプト

Bad: Make a viral YouTube thumbnail で dramatic text.

Better prompt

作成 a YouTube thumbnail concept 向け this topic: [topic]. 使う one clear focal subject, high contrast, strong but credible expression, と room 向け 2-4 words of verified headline text. Avoid fake results, fake screenshots, brand logos, と unreadable decorative text.

Quality check

Shrink the image と confirm the subject, emotion, と headline area still read clearly.

P2 trend coverage

Model-specific prompt watch

We can capture ChatGPT, Gemini, Nano Banana, FLUX, and ComfyUI prompt demand here first. If search data later shows a distinct workflow need, it can graduate into its own page.

ChatGPT / GPT Image プロンプト

chat gpt image promptgpt image prompt

Keep the プロンプト conversational but explicit about 元画像s, constraints, edit boundaries, と final 品質チェックs.

Gemini / Nano Banana プロンプト

gemini prompt for image generationnano banana prompts

Treat these as trend terms until data proves separate intent. Cover them here で model-flexible guidance rather than thin standalone pages.

Midjourney / FLUX / ComfyUI プロンプト

midjourney image promptflux image promptcomfyui image prompt

Route advanced users toward reference consistency, masking, inpainting, style control, と ワークフロー-specific 品質ゲートs.

Draft candidate

Image prompts and image-to-video prompts are different jobs.

An image prompt controls a single still image. An image-to-video prompt controls what changes over time: motion, camera behavior, subject continuity, scene stability, and timing. We will keep image-to-video as a draft candidate until search and behavior data proves it deserves a separate page.

Motion プロンプト

Describe the motion, camera move, timing, と what should remain stable across frames.

Source image prep

Start から a clear 元画像 で simple background, stable subject, と enough detail 向け the video model to preserve.

Likeness と 権利

Avoid implying identity continuity, endorsement, または commercial permission 向け faces, creators, celebrities, と private people.

Copy-ready AI image prompt examples

Use these as starting points, then adapt the reference image, channel, constraints, and quality gate to your actual task.

Product image workflows

Product photo to premium ad ビジュアル

Product image プロンプト

使う the uploaded 商品写真 as the exact product reference. 作成 a premium Eコマース ad ビジュアル で the product centered in a clean studio scene, controlled reflections, realistic shadows, と space 向け short headline copy. Preserve the product 形状, ラベル文字, ロゴ位置, 色, 素材, と proportions. Do not invent badges, 訴求, reviews, または extra product features.

Quality check: The product 形状, label, logo, 色, 素材, と size relationship must remain unchanged.

Open the full workflow

Packshot into realistic lifestyle scene

Packshot scene プロンプト

使う the uploaded packshot as the unchanged product reference. Place it into a realistic lifestyle scene 向け an Eコマース product page, で natural lighting, believable surface contact, と a clear product-first composition. Keep the packaging 形状, label position, typography, logo, 色, と スケール faithful to the reference. Avoid fake certifications, fake awards, または unrealistic use 訴求.

Quality check: The scene can change, but the packshot geometry と 表示中 packaging details cannot drift.

Open the full workflow

AI product 背景差し替え

Background replacement プロンプト

置き換え only the background of the uploaded 商品写真. Keep the product pixels, 形状, label, logo, 素材, 色, と edge details intact. 作成 a clean Eコマース background で realistic contact shadow, simple depth, と enough negative space 向け listing または store layout use. Do not alter the product, add text, または add unsupported props.

Quality check: Mask only the background と inspect edges, shadows, reflections, と product detail after generation.

Open the full workflow

Ad creative variants から one 商品画像

AI 広告クリエイティブ プロンプト

使う the uploaded 商品画像 as the fixed product reference. 生成 three paid-social 広告クリエイティブ variants: one clean studio layout, one lifestyle scene, と one bold campaign image. Keep the product identical across all variants. Vary only the background, composition, lighting, と supporting props. Leave copy-safe space と avoid fake discounts, ratings, endorsements, または platform logos.

Quality check: Each variant should test scene または composition, not invent different product features.

Open the full workflow

UGC-style product concept ビジュアル

UGC concept プロンプト

作成 a UGC-style product concept ビジュアル から the uploaded 商品写真. Show the product in a casual, believable クリエイター-shot setting で natural light, handheld framing, と everyday context. Preserve all 商品ディテール. Do not include a real person likeness, fake customer quote, fake review, influencer name, platform logo, または implied endorsement.

Quality check: Treat the 出力 as a concept ビジュアル, not proof of a real customer, クリエイター, または endorsement.

Open the full workflow

Professional profile photo から casual portrait

Portrait プロンプト

使う the uploaded portrait as the identity reference. 作成 a polished professional profile photo で clean lighting, natural retouching, neutral background, と a confident expression. Keep the face recognizable, preserve age range と facial structure, と avoid exaggerated beauty edits. Output should feel suitable 向け LinkedIn, speaker bios, と ビジネス profiles.

Quality check: Identity should stay recognizable; do not over-smooth, change age, または change facial structure.

Open the full workflow

Social cover image から a topic

Cover image プロンプト

作成 a scroll-stopping social cover image 向け the topic: [topic]. 使う a strong central ビジュアル metaphor, high contrast, clean composition, と a readable title area. Keep the ビジュアル style energetic but not cluttered. If adding text, use only this exact short title: [title]. Do not add extra 訴求, fake logos, または unreadable decorative text.

Quality check: If text is required, keep it short と verify every character before publishing.

Open the full workflow

YouTube thumbnail concept

Thumbnail プロンプト

作成 a YouTube thumbnail concept 向け a video about: [video topic]. 使う one clear focal subject, strong contrast, expressive but credible emotion, と room 向け 2-4 words of headline text. Make the image legible at small size. Avoid fake results, fake screenshots, fake brand logos, と misleading ビジュアル 訴求.

Quality check: The thumbnail should communicate the idea quickly 変更せずに fake shock, fake metrics, または misleading before/after imagery.

Open the full workflow

Transparent object asset pack

Design asset プロンプト

生成 a set of isolated object assets 向け: [object/theme]. 使う consistent lighting, clean edges, transparent または removable background, と simple front-facing または three-quarter views. Keep the objects coherent as a pack. Avoid text-heavy details, protected characters, brand logos, と inconsistent スケール across the set.

Quality check: Edges should be clean と reusable; inspect transparency, shadow, と object consistency.

Open the full workflow

修正 warped 商品ディテール

Image repair プロンプト

修復 only the broken areas in the uploaded 商品画像: warped edges, distorted ラベル文字, mismatched shadow, または damaged surface detail. Preserve every accurate product feature から the original reference. Do not redesign the packaging, change the logo, rewrite ラベル文字, または alter the product 色. Keep the edit minimal と realistic.

Quality check: 修復 the smallest broken area possible と compare the result against the original product reference.

Open the full workflow

Marketplace-safe listing ビジュアル

Marketplace product プロンプト

使う the uploaded 商品写真 as the fixed reference. 作成 a cleaner マーケットプレイス出品画像 ビジュアル で a simple background, accurate crop, realistic shadow, と clear product スケール. Preserve the product 形状, label, logo, 色, 素材, と 表示中 訴求. Do not add fake badges, reviews, certifications, platform logos, accessories, または features not present in the reference.

Quality check: AI can support listing preparation, but the final image still needs marketplace と product-fact review.

Open the full workflow

SaaS screenshot in a marketing scene

App screenshot プロンプト

使う the uploaded app screenshot as the exact screen reference. Place it inside a polished software marketing scene で clean device framing, subtle depth, と a modern workspace context. Keep the screenshot readable と unchanged. Do not invent dashboards, numbers, logos, integrations, customer names, または performance 訴求.

Quality check: Keep UI text と screen content truthful; do not invent integrations, metrics, または customer results.

Open the full workflow

Whitepaper cover ビジュアル

B2B document プロンプト

作成 a professional whitepaper cover image 向け this topic: [topic]. 使う a clear B2B ビジュアル metaphor, restrained composition, と a clean title area. If adding text, use only this exact title: [title]. Keep the style credible 向け a report download page. Do not add fake company logos, fake charts, fake citations, または unreadable filler text.

Quality check: 使う short verified title text only; avoid unreadable decorative copy または fake report logos.

Open the full workflow

Executive summary ビジュアル

Report ビジュアル プロンプト

作成 one executive summary ビジュアル 向け this main idea: [summary]. 使う a clear metaphor, simple hierarchy, と ビジネス-ready composition suitable 向け a report または board update. Show the relationship between the key forces 変更せずに inventing numbers, charts, logos, customers, または evidence that is not in the brief.

Quality check: The ビジュアル should explain the idea, not imply data that was not provided.

Open the full workflow

Restaurant local promo image

Local ビジネス プロンプト

作成 a local restaurant promotional image 向け this offer: [offer]. Show the food または dining mood clearly, use warm realistic lighting, と leave a readable area 向け short offer text. If text is included, use only the exact provided wording. Do not invent prices, dates, addresses, awards, delivery partners, health 訴求, または reviews.

Quality check: Verify menu item, price, date, address, と offer terms before publishing.

Open the full workflow

Real estate listing ビジュアル

Property image プロンプト

使う the uploaded property photo as the source. Improve the listing ビジュアル で natural lighting, cleaner composition, subtle staging, と realistic 色 correction. Preserve the room layout, windows, fixtures, view, materials, と property condition. Do not remove permanent defects, add nonexistent amenities, alter room size, または misrepresent the property.

Quality check: Keep property structure truthful と disclose edits when required by listing または advertising rules.

Open the full workflow

Consistent sticker pack

Design asset プロンプト

生成 a consistent sticker pack 向け this theme: [theme]. 作成 8 simple stickers で the same ビジュアル style, outline weight, lighting, 色 logic, と transparent または removable background. Keep each sticker readable at small size. Avoid protected characters, brand logos, random text, と inconsistent perspective.

Quality check: Keep style, outline, lighting, と スケール consistent across every sticker.

Open the full workflow

Consistent icon set

Icon system プロンプト

作成 a consistent icon set 向け these concepts: [list]. 使う the same stroke weight, corner style, perspective, 色 palette, と ビジュアル density across every icon. Keep shapes simple と recognizable at small sizes. Do not include brand logos, tiny unreadable text, または mixed illustration styles.

Quality check: Icons should look like one system, not a mixed gallery of unrelated styles.

Open the full workflow

What we measure next

Use prompt behavior to decide whether a new page is needed.

This page should earn low-friction search traffic first. New pages should come from repeated landing-page behavior, copied prompt types, and workflow clicks, not from every keyword variant in the prompt dataset.

High プロンプト copies, low ワークフロー clicks

Keep the page as an acquisition asset, but add stronger next-step cards near the copied プロンプト categories.

High ワークフロー clicks to Eコマース pages

Deepen the linked commercial ワークフロー instead of creating another プロンプト-only page.

Search traffic lands here but no copy events

Move the most relevant プロンプト例 higher と simplify the first 表示中 copy path.

Repeated model-specific query clusters

Only then consider a separate ChatGPT, Gemini, Nano Banana, FLUX, または ComfyUI プロンプト page.

AI画像プロンプトの疑問に直接答えます。

AI image prompt examples、AI image generator prompt、best prompt for AI image generatorなどの検索意図を、実務で使える形に整理します。

良いAI画像プロンプトとは何ですか?

良いプロンプトは、目的、主体、参考画像、シーン、構図、スタイル、必ず守る細部、品質チェックを含みます。商用利用では、商品形状、ラベル、ロゴ、色、訴求などの事実を明確に固定します。

AI画像生成のプロンプトはどの順番で書くべきですか?

おすすめは、主体または商品参考、入力画像の制約、シーン、スタイルと光、構図、変えてはいけない要素、公開前チェックの順番です。先に用途と制約を書き、最後に表現を整えます。

ChatGPT、Gemini、Midjourney、FLUXでも使えますか?

使えますが、各ツールの参考画像、マスク、部分修正、文字生成の得意不得意に合わせて調整してください。ブランド名だけに頼るより、入力条件と品質チェックを明確にする方が安定します。

なぜAIはプロンプトの一部を無視しますか?

1つのプロンプトに目的を詰め込みすぎる、重要な制約が後ろにある、スタイル語だけで用途がない、などが主な原因です。タスクを小さく分け、守る内容を早めに書きます。

画像からプロンプトを作る場合の注意点は?

既存画像の構図、光、雰囲気を分析する用途に向いています。ただし、保護されたキャラクター、ブランド素材、個人画像をそのまま再利用する目的では使わないでください。

Open the full workflows

Prompt examples are the entry point. Full skills add branch logic, failure checks, and stronger publishing guardrails.

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