
Perler Bead Pixel Infographic Poster
An incredibly comprehensive structural prompt for generating museum-style infographic posters using a Perler bead/pixel art aesthetic, focusing on layout, color layers, and data nodes.
これはグラフィック&ポスター向けのGPT Image 2プロンプトケースです。以下のコピー可能なプロンプトを使用して同様のビジュアルを生成し、再利用する前にAwesome GPT Image 2 Prompts帰属表示と商用利用権を確認してください。
プロンプトセット全体が必要ですか? グラフィック&ポスター 関連する例をもっと見るにはトピックハブを開くか、 GPT Image 2 プロンプトカタログ 完全な例の索引、再利用可能な構造、および出典の明記については、こちらをご覧ください。
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プロンプト
コピー準備完了プロンプト
Generate a 16:9 horizontal infographic poster.
Subject: {argument name="subject" default="Pan Jinlian"}
Required Knowledge Points:
[Point 1] through [Point 8]
Visual Style Definition:
This is a structural flat infographic poster in the style of "Perler beads / fuse beads / pixel bead array." The image is composed of a large number of regularly arranged circular plastic beads, each with clear circular boundaries, a slight center indentation, uniform spacing, low-saturation plastic texture, and a stable grid order. The overall composition must maintain a front-view flat layout, resembling a public cultural infographic poster made of beads, rather than toy photography, 3D models, cartoon illustrations, or ordinary pixel art.
Core Composition:
Compress the subject into a large-scale monochromatic bead image field. The subject must surge in from the edges of the frame, crossing page boundaries and being cropped as if a larger bead media image fragment is entering the page. The subject occupies the main visual weight but is not fully presented; viewers must reconstruct the theme through silhouette, direction, missing areas, bead density, and local texture.
Subject Morphology:
The outer edges of the subject exhibit low-resolution bead steps, block fractures, hard-cut gaps, pixelated jagged outlines, missing bead cross-sections, and rough boundaries after sampling. Forbid smooth silhouettes, complete icon outlines, or realistic details. Use only different brightness levels of the same subject structural color within the body to form low-contrast image fragments, halftone noise, scan grains, material afterimages, archival textures, and local density variations.
Background and Negative Space:
The background uses a high-brightness light-colored bead field, close to unprinted paper, light creamy white plastic board, or pale grey-white bead arrays. The background is not a decorative base color but actively cuts back into the subject, forming large voids, winding channels, quiet text windows, reading pause areas, and knowledge point containers. White space must provide a sense of breath while cutting the subject's structure.
Color System:
Adopt a strict three-layer functional color scheme:
1. Light Background Field (60%–70%): Colors like old paper white, light beige, or cold grey-white for breathing and text windows.
2. Subject Structural Color (25%–35%): Defines the subject and mood. Choose based on the subject (e.g., deep blue/dark green for cold themes; ocher red/burnt orange for warm themes).
3. High-Contrast Information Color (3%–6%): Sharp colors like red, black, or bright blue for titles, numbering, and key annotations.
Infographic System:
Transform knowledge points 1 to 8 into bead information nodes (numbered labels, annotation boxes, legend blocks, coordinate lines, etc.). Nodes should be scattered along white space windows, color field boundaries, and subject gaps. Ensure a clear hierarchy of text sizes.
Typography:
Use narrow modern sans-serif fonts or monospace metadata fonts. Text must be arranged in white space windows and bottom information bars, never pressing against the center of the subject.
Bead Material:
All visual elements are made of beads. Surfaces have a matte plastic texture with slight manufacturing irregularities, faint grains, and minor wear. Structural color areas can show halftone-style density changes and a specialty overprint feel.プロンプト変数
プロンプトに表示される編集可能な引数プレースホルダーと、それらのデフォルト値。
変数
subject
デフォルト
Pan Jinlian
Best for
- - グラフィック&ポスター visual exploration
- - Image generation and reference-image edits
- - Reusable briefs that keep source attribution visible
Change these parts
- - Subject, product, character, or scene
- - Aspect ratio, camera, lighting, and background
- - Brand, text, color, and output constraints
Recommended model and settings
- - Model: gpt-image-2
- - Input mode: 画像から画像
- - Aspect ratio: source
- - Commercial status: review original source
How to use this prompt
- 1. Copy the prompt and preserve its structure for the first test.
- 2. Replace the subject, context, and publishing channel.
- 3. Change one camera, lighting, or style variable per iteration.
- 4. Inspect the output, source, text, and rights before reuse.
Limitations, source, and reuse cautions
- - Generated output is an editable draft, not factual, legal, or rights evidence.
- - Review the linked source, people, brands, logos, text, and third-party media before commercial use.
Awesome GPT Image 2 Promptsからインポートされました。出典の明記が必要です。商用利用の可否はallowedです。有料利用の前に、出典元の権利をご確認ください。
このカテゴリーのその他の事例
カテゴリー、入力モードの互換性、品質、およびリスクの低さに基づいて優先順位付けされています。
再利用と出典に関する注記
ケースを事前に確認してから、このプロンプトを安全に使用してください。
- 1.プロンプトをコピーするか、生成ボタンを使ってDovooで直接開いてください。
- 2.ご自身の用途に合わせて、変数、アスペクト比、および参照画像を調整してください。
- 3.公開または有料利用の前に、情報源の権利、帰属表示の要件、およびブランドまたは肖像権に関するリスクを確認してください。





