Editorial blog header illustration — conceptual essay header

深度博客头图 / Medium 文章配图 / 公众号长文头图

Sample output · gpt-image-2 · low quality (free tier)

The prompt

A conceptual editorial illustration in the style of New Yorker / Atlantic / NYT
opinion section. The piece visually represents the concept of "[CONCEPT_THEME]"
through a single striking visual metaphor: [METAPHOR_DESCRIPTION].
Style: refined, painterly digital illustration with visible brush texture, limited
but deliberate color palette of [PALETTE], soft edges that fade into negative space,
intentional composition with strong asymmetric balance.
Mood: contemplative, slightly melancholic, intellectually serious — not cartoonish,
not cheerful.
Composition: the main metaphor occupies roughly the right two-thirds of the canvas;
the left third is mostly negative space with a single small contextual detail
([CONTEXT_DETAIL]) anchoring the eye.
Atmospheric: subtle paper texture overlay, slight grain, like it's been printed on
high-quality matte paper. Aspect ratio 16:9 (web header) or 4:3 (magazine spread).
No text. Color grading is muted and sophisticated, never neon.

Run it now (free)

1 free generation, no signup. Sign in for 2 · ⭐ Star for 3.

Why this prompt works on GPT Image 2

This prompt is engineered for editorial designers, indie game studios, children-book authors, blog publishers. The phrasing prioritizes establish a recognizable visual language with strong emotional tone — every word in the prompt is doing one of three jobs: setting subject, controlling lighting / camera, or constraining style. What makes it land specifically on gpt-image-2: the model parses noun-clause phrasing (e.g. "centered on pure white seamless background") more reliably than vague style adjectives ("clean look"). The version above leans heavily on noun clauses — this is intentional. Style consistency matters more than realism — a wonky watercolor with consistent palette beats a polished render that breaks brand cohesion.

5 variations to try with this prompt

Swap the subject — replace any [PRODUCT] or [SUBJECT] placeholder with your specific item. Be concrete: "matte navy ceramic mug" beats "a mug".
Change lighting language — try "golden hour rim lighting" or "harsh overhead studio fluorescent" instead of "soft studio lighting" to dramatically change mood.
Try a different visual register — append "rendered as a high-fashion magazine editorial" or "rendered as a 90s film photo with grain" to shift aesthetic without changing composition.
Change aspect ratio — switch `size: 1024x1024` to `1024x1536` (vertical) for IG Story / RedBook covers, or `1536x1024` (horizontal) for blog headers.

When to use this prompt (and when not to)

Use this prompt for: editorial blog header, game asset, picture book spread, marketing carousel. It's specifically tuned for those surfaces — using it elsewhere (e.g., a children's book) will produce technically correct but contextually wrong output. Skip it when you need: hands-on UGC photography (use a real camera), or content where text accuracy beats visual polish (gpt-image-2 still occasionally drops a letter on long strings). Pair it with: a follow-up edit on /edit to swap variants, or with the visual Prompt Lab on /lab to rebuild from atoms.

Common mistakes to avoid

Verbose adjective stacking — "beautiful, stunning, gorgeous, professional" all degrade output. The model interprets each as a separate weight competing for attention. One precise adjective beats five generic ones.
Over-specifying impossible camera — "8K hyperrealistic, fish-eye, telephoto" is contradictory; the model picks one and ignores the rest, often unpredictably. Pick one camera language at a time.
Quoting text without isolation — for prompts with rendered text, wrap the text in explicit quotes and place it in its own clause. `the text "GOOD MORNING" rendered cleanly in the lower third` beats `says good morning at bottom`.
Ignoring aspect ratio — generating 1:1 then cropping for vertical loses meaningful composition data. Generate at the target aspect ratio from the start.

FAQ

Is gpt-image-2 free to use through this site?

Yes — anonymous users get 1 generation per browser per day. Sign in with GitHub for 2/day, ⭐ star the open-source repo for 3/day. No credit card needed at any free tier.

How long does each generation take?

30–60 seconds for fresh generations on the 1536x1024 canvas. Cached prompts (same prompt + same size) return instantly and don't consume your quota.

Can I edit the generated image?

Yes — drop the result on /edit with a follow-up instruction (e.g., "swap background to night-sky"), or use /inpaint with a mask for surgical edits.

What's the prompt license?

All prompts in awesome-gpt-image-2-playground are CC-BY-4.0. Use them in any product, commercial or otherwise, with attribution.

Is the source code open?

Yes — repo on GitHub is MIT-licensed for code, CC-BY-4.0 for prompt content. Star the repo to support and to unlock 3 generations/day.

中文版 · ZH-CN

为什么这个 GPT Image 2 提示词有效

这个提示词是为编辑设计师、独立游戏团队、儿童绘本作者、博客主理人设计的。每个词都在做三件事中的一件:定义主体、控制光线/相机,或约束风格 — 没有冗余,核心目标是用一致的风格语言传递情绪。在 gpt-image-2 上稳定生效的关键是:模型对名词短语的解析比形容词堆砌更可靠。例如"放置在纯白背景中央(centered on pure white seamless background)"这种结构化表述,比"看起来干净"这种模糊形容更稳。一致性比"逼真"重要 — 一组色调统一的"歪歪水彩"比一张精致但风格脱节的写实更有品牌力。

5 个值得尝试的变体

替换主体 — 将提示词中的 [PRODUCT] 或 [SUBJECT] 占位符替换为你的具体物品。"哑光海军蓝陶瓷杯"比"一个杯子"效果好十倍。
改变光线表达 — 把"柔和演播室光"换成"金时刻轮廓光"或"刺眼顶部荧光",氛围会发生剧烈变化。
切换视觉调性 — 在末尾加上"以高时尚杂志编辑风格呈现"或"以 90 年代胶片颗粒感呈现",可以在不改构图的情况下换风格。
改变纵横比 — 把 `size: 1024x1024` 切到 `1024x1536`(竖版,适合 IG Story / 小红书封面)或 `1536x1024`(横版,适合博客 banner)。

什么场景下用(以及不用)

适合用于:编辑博客头图、游戏立绘、绘本插页、营销 carousel。这个提示词专门针对这些场景调过 — 用在不匹配的语境(比如儿童绘本)会产出"技术上对、语境上错"的图。不适合的场景:UGC 真实手持摄影(用真相机更合适),或者文字精确度优先于视觉品质的内容(gpt-image-2 在长字符串偶尔会丢一个字母)。配合使用:在 /edit 上做 follow-up 编辑切换变体,或在 /lab 用原子重组重写整个提示词。

常见误区

形容词堆砌 — "美丽、惊艳、华丽、专业"叠在一起会降低输出质量。模型把每个都当独立权重在分配注意力,一个精准的形容词胜过五个通用的。
矛盾相机参数 — "8K 超写实、鱼眼、长焦"自相矛盾,模型会随机挑一个忽略其他。一次只用一种相机语言。
文字未隔离引用 — 需要渲染文字时,用引号包裹并独立成句。`the text "早安" rendered cleanly in the lower third` 远胜于 `底部说早安`。
忽略纵横比 — 生成 1:1 再裁切到竖版会丢失构图信息。从一开始就用目标比例生成。