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Character continuity diagnostic-board director

Turn an original character blueprint into one auditable wide identity board whose hero view, rotations, expressions, prop check, and continuity markers expose design drift and generation defects.

Character continuity diagnostic-board director
Editorial review

Why this prompt is useful

Best for checking a game, animation, comic, or mascot character before storyboarding or batch generation; five concrete identity anchors, assigned color regions, and explicit materials make drift much easier to detect. It does not replace source artwork or proof of authorization, so review left-right orientation, facial proportions, hands, garment layers, and prop scale panel by panel.

Ready-to-use prompt

Complete image prompt

Paste this prompt as-is. It reads the current context and uses safe, coherent defaults; add details only when you want tighter control.

You are a character continuity diagnostic-board director. From the inputs below, create one finished wide character identity board that both presents one original fictional character clearly and makes facial geometry, silhouette, clothing, materials, color placement, and prop consistency auditable across angles and expressions. Return one final image only, with no analysis, prompt text, alternate versions, or separate explanation. Start generating from the current conversation, attachments, and accessible references. When details are missing, choose safe, concrete, coherent, easy-to-edit defaults instead of returning blanks or a form. Ask one concise question first only when rights, identity, or safety boundaries are unclear. Execution defaults: - Original character blueprint: Infer it from the current conversation, attachments, or accessible project; when unspecified, use a safe, sensible, easy-to-edit default - Five identity anchors: Infer it from the current conversation, attachments, or accessible project; when unspecified, use a safe, sensible, easy-to-edit default - Palette and materials: Infer it from the current conversation, attachments, or accessible project; when unspecified, use a safe, sensible, easy-to-edit default - Expression range: Infer it from the current conversation, attachments, or accessible project; when unspecified, use a safe, sensible, easy-to-edit default - Action and prop check: Infer it from the current conversation, attachments, or accessible project; when unspecified, use a safe, sensible, easy-to-edit default - Visual medium: Infer it from the current conversation, attachments, or accessible project; when unspecified, use a safe, sensible, easy-to-edit default - Backdrop and layout: 2:1 or 16:9, background value, negative space, and thumbnail use - Exclusions: Infer it from the current conversation, attachments, or accessible project; when unspecified, use a safe, sensible, easy-to-edit default Execution rules: 1. Build an internal identity lock before rendering. The five anchors, body proportions, facial geometry, garment layers, color placement, material response, and prop dimensions must be shared by every study. Apart from perspective occlusion and expression-driven movement, no defining feature may move, duplicate, disappear, or be invented. 2. Use one continuous backdrop and one lighting system, dividing the canvas into clear diagnostic zones without visible panel borders. The left 52% holds one head-to-toe three-quarter hero view; the center 28% stacks front, profile, and back full-body views; the right 20% holds four equal head studies for neutral and the three requested expressions. Keep every view fully separated, unobstructed, and uncropped. 3. Add one compact prop-check area beside the hero view. Show only an orthographic view of the same hero prop and one naturally posed hand holding it. Prop construction, scale, material, and contact shadow must agree with the hero view; add no extra weapon, brand, or unrequested accessory. 4. Preserve comparability. Use the same character scale baseline, similar lens compression, and consistent white balance across full-body studies. Expressions may change only plausible brow, eye, cheek, and mouth muscles; they must not alter age, identity, hairstyle, face width, makeup, or skin texture. 5. Reveal the five identity anchors visually through clear camera choice, local contrast, and lack of occlusion, so every anchor is visible in at least two studies. Do not add arrows, labels, headings, numbers, explanatory copy, pseudo-text, logos, signatures, QR codes, or watermarks. 6. The character must be an original fictional design. Do not reproduce a real person, public figure, unauthorized photograph, protected character, or a named living artist's style. Do not depict minors, age-ambiguous people, nudity, sexualization, hate symbols, illegal conduct, weapon use, injury, or political or military insignia. If the blueprint contains any of these, stop and request a safe replacement. 7. Before output, audit every view for the five anchors, facial and body proportions, clothing layers, left-right direction, color blocks, materials, finger count, footwear, prop scale, contact points, and shadows. If a critical feature drifts, becomes hidden, or produces duplicated anatomy, mirrored errors, intersections, cropping, or collage seams, correct it before returning the image. Avoid: real people or public figures, unauthorized photos, protected characters, imitation of a living artist, minors or age-ambiguous people, nudity, sexualization, illegal conduct, hate symbols, weapon use, injury, political or military insignia, extra characters, alternate outfits, extra props, text, labels, numbers, arrows, logos, signatures, watermarks, QR codes, identity drift, facial drift, age drift, hairstyle changes, misplaced color blocks, material confusion, left-right reversal, duplicated features, duplicated limbs, extra fingers, malformed hands, incorrect grip, warped props, inconsistent scale, occlusion, overlap, cropping, collage seams, false shadows, and cluttered backgrounds.
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.

Uses a ceramic repair seam, asymmetric eyes, fiber crest, layered collar, and scanner construction to test a non-human character across full-body, rotation, expression, and prop-grip studies.Generated example

Celadon courier identity board

Uses a ceramic repair seam, asymmetric eyes, fiber crest, layered collar, and scanner construction to test a non-human character across full-body, rotation, expression, and prop-grip studies.

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Uses a silver curl streak, under-eye mole, three-part collar, pocket seams, and seed spectrometer to validate an original adult character's face, clothing, hands, and materials.Generated example

Field botanist identity board

Uses a silver curl streak, under-eye mole, three-part collar, pocket seams, and seed spectrometer to validate an original adult character's face, clothing, hands, and materials.

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Uses antenna curl direction, a crescent mark, asymmetric wing spot, four-arm anatomy, and a three-spoke compass to test orientation and limb stability in a complex non-human design.Generated example

Luna-moth mapmaker identity board

Uses antenna curl direction, a crescent mark, asymmetric wing spot, four-arm anatomy, and a three-spoke compass to test orientation and limb stability in a complex non-human design.

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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

    Add details when useful

    The prompt works without a form. Add a subject, setting, use, format, or must-keep details only when you want tighter control.

  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 prompts can go straight to an AI assistant, which will infer context and 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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