Multi-Panel AI Images: Comics, Storyboards and Character Sheets
Plan panels, reading order, and a character brief for AI comics and storyboards. Check panel count, identity, and text before assembling a final layout.
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Define the sheet before the individual pictures
For a comic, storyboard or character sheet, specify the overall grid, what stays the same and what changes in each panel. Then inspect every panel. Asking for “the same character” is a requirement, not a guarantee.
A single canvas with several panels is also a different task from preserving a character across separately generated images. This guide offers a planning method; it does not report grid-size success rates or establish a best model.
Write three parts
- Layout: panel count, rows and columns, reading order and gutters.
- Shared subject: identity, clothing, objects, medium and light that should stay consistent.
- Panel instructions: the action or view in each numbered panel.
Start with only the changes the story needs. Fewer simultaneous changes make failures easier to diagnose, though they do not guarantee compliance.
comic strip of a detective entering a room, finding a clue, and leaving
three equal vertical panels, same detective and brown coat in every panel; panel 1 enters the room, panel 2 lifts a red key, panel 3 exits holding that same key; fixed camera height and lighting
Curated expression-sheet example. Inspect identity, clothing and panel boundaries individually; this is not a controlled test.
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A 3D Pixar-style animated young male character showcased in a 6-panel grid layout, each panel featuring a different facial expression and outfit. Bright solid color backgrounds (yellow, blue, red, pink, purple, green). The character has soft brown wavy hair, expressive large eyes, smooth skin, and stylized cartoon proportions.
Choose panel count from the final use
At a fixed canvas size, more panels leave less space per panel. Choose the count based on how large the sheet will be shown and how much detail each panel needs. There is no universal nine-panel ceiling or guaranteed four-panel success rate in the evidence presented here.
For equal panels with no gutters, a grid with c columns, r rows and per-panel width-to-height ratio p has a canvas ratio of c × p : r. Gutters and captions change the calculation. For example, square panels arranged in three columns and two rows need a 3:2 canvas before gutters—not a portrait canvas.
Curated nine-view sheet. Use the actual display size to judge whether each panel has enough detail.
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<instruction> Analyze the entire composition of the input image. Identify all key subjects present (whether a single person, group/couple, vehicle, or specific object) and their spatial relationships/interactions. Generate a coherent 3x3 grid "Contact Sheet" showcasing 9 distinct shots of exactly these subjects within the same environment. You must adapt standard cinematic shot types to fit the content (e.g., if a group, keep the group together; if an object, frame the entire object): Row 1 (Establishing Context): 1. Extreme Long Shot (ELS): Subjects appear very small within a vast environment. 2. Long Shot (LS): Full subject or group visible from top to bottom (head to toe / wheels to roof). 3. Medium Long Shot (American Shot/Three-Quarter): Framed from above the knees (for people) or a 3/4 view (for objects). Row 2 (Core Coverage): 4. Medium Shot (MS): Framed from above the waist (or the central core of an object). Focus on interaction/action. 5. Medium Close-Up (MCU): Framed from above the chest. Intimate framing of the primary subject(s). 6. Close-Up (CU): Tight framing on the face or the "front" of an object. Row 3 (Detail & Angles): 7. Extreme Close-Up (ECU): Macro detail with intense focus on a key feature (eyes, hands, logo, texture). 8. Low-Angle Shot (Worm's-Eye View): Looking up at the subject from ground level (spectacular/heroic feel). 9. High-Angle Shot (Bird's-Eye View): Looking down on the subject from above. Ensure strict consistency: The same people/objects, same clothing, and same lighting across all 9 panels. Depth of field should vary realistically (background blur in close-ups). </instruction> A professional 3x3 cinematic storyboard grid containing 9 panels. This grid showcases the specific subject(s)/scene from the input image across a comprehensive range of focal lengths. Top Row: Wide environmental shots, full view, 3/4 crop (above-knee view). Middle Row: Above-waist view, above-chest view, face/front close-up. Bottom Row: Macro detail, low angle, high angle. All frames feature photorealistic textures, consistent cinematic color grading, and correct framing for the specific number of subjects or objects analyzed.
Check continuity separately from layout
| Check | Inspect |
|---|---|
| Structure | Correct count, rows, columns and reading order |
| Identity | Face shape, hair, clothing and distinctive features across panels |
| Objects | The same prop remains the same size, colour and design |
| Sequence | Actions follow the intended order without missing or duplicated beats |
| Legibility | Details and any text survive at final size |
A correct grid can still contain different people. A coherent character can still appear in the wrong layout. Score those issues separately. The same-prompt experiment shows this distinction in one dated three-panel task.
Curated storyboard reference: read the panels as a sequence instead of judging each as a separate hero image.
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A 3x3 cinematic storyboard contact sheet consisting of 9 distinct panels arranged in a grid. The sequence features a young woman with platinum blonde hair in a frozen alpine winter setting. The panels display various angles and shots: Close-ups: Focusing on her rosy cheeks, blue-grey eyes, and snowflakes on her eyelashes. Medium shots: Showing her wrapped in a black wool coat and blue knit scarf, holding a bouquet of dried white flowers. Wide shots: Capturing her standing alone on the frozen lake with towering snowy mountains in the background. The lighting is consistent moody blue-hour twilight across all frames. High-quality film photography aesthetic, photorealistic, 8k resolution, coherent character and color grading.
When a result drifts
Try simplifying the problematic panel or reducing the number of changes. Where supported, provide an appropriate reference image and identify what it should preserve. If one region remains wrong, an available local edit or separate panel assembly may be more practical than regenerating the entire sheet.
These are options to test, not measured fixes. Keep failed outputs so you can see whether a change actually helped. For speech bubbles, manual lettering gives direct control over spelling and placement; if text is generated, inspect every character and the reading order. See the text-rendering test for its limited short-English results.
More layout references
These are independently curated examples with different prompts, not evidence of relative model reliability.
Before generating, choose the aspect ratio and write your acceptance checks. For separate images of a character, use a separate consistency workflow.
