Image generationPrompt builder

Cohesive visual lesson system

Turn a topic and page outline into a coherent sequence of educational slides with controlled layout variation.

Cohesive visual lesson system
Editorial review

Why this prompt is useful

Use this to approve a visual system before generating a slide sequence, instead of requesting ten inconsistent images at once. Proofread every rendered word and correct text in a design tool before delivery.

Copyable template

Complete image prompt

Replace the bracketed placeholders first, then adapt parameters for your tool. Do not invent missing dimensions, rights, or identity details.

Design a 16:9 educational slide system for [lesson topic], aimed at [learners] and used in [classroom, training, or self-study]. Input: I will provide the main topic, learning objectives, and a Markdown outline for each slide. First review slide count, information density, and sequence; recommend splitting any overloaded slide. Shared design system: - Style: [modern editorial, warm paper collage, or clear technology infographic]. - Palette: one primary color, one accent, and two neutrals with accessible contrast. - Typography: stable title, subtitle, body, and annotation levels. - Graphic language: consistent corner radius, line weight, icons, and illustration finish. - Footer: fixed page number and short section label. Per-slide requirements: 1. Communicate one central idea with a clear visual focal point. 2. Vary layouts across cover, section divider, concept, process, comparison, case study, exercise, and summary slides without changing the shared system. 3. Use only text supplied in the outline; add no unverified facts, and render all text legibly without placeholder gibberish. 4. Give charts titles, labels, and consistent legends; use a conceptual diagram rather than invented numbers when data is absent. 5. Render one complete slide per output, without device mockups or tilted perspective. First produce one visual-spec sample slide and a page list for approval, then generate slides in order. Avoid watermarks, logos, decorative clutter, low-contrast text, repeated composition, and content outside safe margins.
Generated references

3 generated reference examples

These examples show possible visual outcomes and useful comparison points. Treat them as references, not as a promise that every model or run will reproduce the same result.

Validates a coherent cover, hero illustration, palette, and three-topic visual language.Generated example

Urban cooling visual-spec slide

Validates a coherent cover, hero illustration, palette, and three-topic visual language.

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Shows clear labels, captions, and arrows for a three-step absorb-store-release explanation.Generated example

Three-step urban heat process

Shows clear labels, captions, and arrows for a three-step absorb-store-release explanation.

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Demonstrates that the same system extends to a classroom exercise with choices and writing space.Generated example

Urban cooling practice slide

Demonstrates that the same system extends to a classroom exercise with choices and writing space.

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Reference images were generated for AI Prompt Card. Results vary by model, settings, seed, and the details you provide.

How to use it

From visual idea to usable image

  1. 1

    Complete the visual inputs

    State the subject, setting, use, format, and details that must remain or must not appear.

  2. 2

    Generate and inspect

    Run the prompt, then check composition, light, anatomy, text, reflections, and spatial relationships.

  3. 3

    Change one variable at a time

    Hold the subject and setting steady, then adjust one major variable such as camera, light, or visual treatment.

Prompt anatomy

What a reliable image prompt controls

Subject and action

Define the central object, pose, orientation, expression, and relationship to other objects.

Setting and space

Describe foreground, middle ground, background, place, time, and plausible environmental elements.

Composition and camera

Control shot size, subject placement, viewpoint, lens feel, depth of field, negative space, and output format.

Light, material, and color

Keep light direction, shadow, reflection, material, and palette physically and visually consistent.

Negative constraints and boundaries

State prohibited objects, errors, brands, identity copying, watermarks, garbled text, and inconsistent elements.

Frequently asked questions

Can I paste these prompts directly into an image generator?

Check the working-method label first. Direct-generation prompts can go into a compatible tool; prompt-builder templates should be completed in an AI assistant to produce the final image prompt.

Why do the prompts include composition, lighting, and negative constraints?

Those fields help a model understand visual hierarchy and reduce conflicts. Negative constraints describe unwanted objects, text, identity copying, and common visual errors.

What should I consider when using real people or reference images?

Confirm that you have the necessary rights and consent. Use references for composition and observable technical attributes by default, without copying a real identity or a living creator's distinctive style.

Inspiration source

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