Single-panel composition

Give each AI comic panel a clear story purpose

Plan a single AI comic panel with a defined story beat, camera distance and character placement. Review the composition before building a complete sequence.

Model

301 / 2000
Image shape

This creator generates a still image. Continue in the linked tools for comics and video; research strategies are not selectable production modes.

Four printed framing studies of an original botanist and robot are compared on a drawing desk
AI-generated presentation concepts with fictional people and original artwork. These scenes illustrate possible uses; they do not document customer trials, physical delivery or a measured CyaniModel benchmark.
Image record

Google Vertex AI · gemini-3.1-flash-image · · 1280 × 859 px

Original generation prompt

Use case: photorealistic-natural / product-mockup. Convincing natural editorial PHOTOGRAPH at an adult artist's clean drawing table. Supplied image1 is the original character identity sheet; image2 is the original six-panel greenhouse story. Four separate medium matte landscape cards lie in a clean two-by-two arrangement on the table. Their artwork uses the SAME original adult botanist in teal jacket and coral scarf, same mint-green one-antenna robot, same greenhouse and terra-cotta pot. Show four distinct useful framings from the supplied story: wide greenhouse establishing view, medium pot-on-bench action, close-up seed-and-hands detail, and medium shared watering action. Cards have generous blank ivory borders; all four are fully inside frame and none overlap. A smaller character-reference sheet from image1 sits just behind the cards, partly visible. Exactly one relaxed realistic adult hand rests at the edge without covering the art. Natural ink/watercolor illustration stays on paper; room, wooden table and skin are photographic. No writing, numbers, arrows, logos, app UI or made-up test results. The finished framing alternatives dominate 80 percent of frame, subtle pencil and linen details only. Landscape 3:2, almost overhead.

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Plan a specific result

A botanist and a robot preparing one pot

An adult botanist sets a terracotta pot on a greenhouse bench while a small mint robot waits beside it. The panel needs to show the action and each character’s role without relying on a caption.

What to prepare

  • Authorized identity references for the original adult botanist and the small mint robot.
  • A one-sentence action brief and the current wardrobe notes.
  • A simple placement sketch or clearly stated left/right arrangement.
Six-panel original greenhouse story with the same adult botanist and small robot
AI-generated presentation concepts with fictional people and original artwork. These scenes illustrate possible uses; they do not document customer trials, physical delivery or a measured CyaniModel benchmark.
Image record

Google Vertex AI · gemini-3.1-flash-image · · 1280 × 859 px

Original generation prompt

Use case: illustration-story. Make ONE original finished comic page in a clean three-column by two-row grid, exactly SIX equally sized panels, narrow even ivory gutters and complete outer margins. The provided image is the character identity and wardrobe reference, not a page to copy. Preserve its adult botanist with warm brown skin, short dark curly hair, teal jacket, coral scarf, sand trousers, brown boots, and round mint helper robot with two dark eyes and exactly one short antenna. Quiet elegant ink-and-watercolor comic style, teal/coral/sage/ochre palette. Tell a very simple readable rooftop greenhouse planting story: panel1 wide view botanist and robot arrive at the greenhouse carrying a small terra-cotta pot; panel2 medium view the botanist places the pot on the wooden bench; panel3 close view gloved adult hands holding a seed above the pot; panel4 medium view botanist and robot water the pot with a small cream watering can; panel5 close view botanist and robot look at the tiny seedling; panel6 wide view both stand by the finished row of three potted seedlings in afternoon light. All people are adults; each scene has one botanist and one robot unless only hands are framed. The pot remains terra-cotta, the greenhouse stays structurally coherent, identity and outfit remain recognizable. No writing, numbers, logos, speech balloons, captions, lettering, illegible marks, third-party characters, UI, photorealistic environment or claims of tested consistency. Landscape 3:2.

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01

Choose a framing that explains the handoff

A medium shot can show the relevant hands, robot and pot. A closer view may hide who is acting, while an overly wide view may lose the important gesture.

02

Bind each identity to a role

Identify the botanist’s action and the robot’s position separately, including their appearance and relative scale. Review both characters instead of accepting the image because one identity looks right.

03

Leave room for the final page

Plan the panel crop and any lettering area before accepting the composition. A useful standalone image may still be too crowded in the page layout.

A successful panel communicates one beat clearly. Attractive detail matters after the subject, action and relationship are readable.

A practical starting point

01

Write one visible story beat

Describe what the reader can see in this panel, rather than summarizing the entire story. Identify the subject, action and important object.

02

Choose framing and character placement

Decide how much setting the shot needs and where the characters should appear. Reserve space for lettering if your finishing workflow will add it.

03

Inspect at the intended reading size

Check silhouette, gaze, hands, prop position and visual hierarchy. Review the panel as part of a page before accepting a large preview.

What to inspect

Four printed framing studies of an original botanist and robot are compared on a drawing desk
AI-generated presentation concepts with fictional people and original artwork. These scenes illustrate possible uses; they do not document customer trials, physical delivery or a measured CyaniModel benchmark.
Image record

Google Vertex AI · gemini-3.1-flash-image · · 1280 × 859 px

Original generation prompt

Use case: photorealistic-natural / product-mockup. Convincing natural editorial PHOTOGRAPH at an adult artist's clean drawing table. Supplied image1 is the original character identity sheet; image2 is the original six-panel greenhouse story. Four separate medium matte landscape cards lie in a clean two-by-two arrangement on the table. Their artwork uses the SAME original adult botanist in teal jacket and coral scarf, same mint-green one-antenna robot, same greenhouse and terra-cotta pot. Show four distinct useful framings from the supplied story: wide greenhouse establishing view, medium pot-on-bench action, close-up seed-and-hands detail, and medium shared watering action. Cards have generous blank ivory borders; all four are fully inside frame and none overlap. A smaller character-reference sheet from image1 sits just behind the cards, partly visible. Exactly one relaxed realistic adult hand rests at the edge without covering the art. Natural ink/watercolor illustration stays on paper; room, wooden table and skin are photographic. No writing, numbers, arrows, logos, app UI or made-up test results. The finished framing alternatives dominate 80 percent of frame, subtle pencil and linen details only. Landscape 3:2, almost overhead.

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Research direction

Research behind the workflow

Associate each reference with its region

We are exploring ways to keep multiple identities linked to the intended positions. Public research on regional identity control informs the question; it does not establish a released control in every provider.

Catch a plausible but incorrect action

A panel can look polished while reversing the handoff or adding a person. Review should measure story alignment and character count separately from appearance.

Repair the smallest failed area

If one sleeve or hand is wrong, targeted repair may preserve a good composition. Evaluation must also check the unedited scene for unintended changes.

Research direction

Visual Review Cascade

Which checks can catch an identity or story error early, and which need a closer look?

How we would evaluate it: Track missed serious errors and incorrectly rejected panels alongside review cost and latency.

Research direction

Targeted Character Repair

Can one incorrect character detail be repaired while preserving the accepted scene?

How we would evaluate it: Inspect the edited area, the surrounding pixels and the story after each proposed repair.

Research direction

Multiple Character Identity

Can each character keep the correct face, clothes, scale and place during an interaction?

How we would evaluate it: Check identity-to-position correspondence, character count and relative size in each shot.

Know the boundaries

  • A text brief cannot guarantee exact pose, count or placement.
  • Precise layout or regional controls depend on what the chosen tool actually exposes.
  • The illustrative planning case is not a measured comparison of generation models.

Primary research informs these questions; it does not establish results for CyaniModel.

Frequently asked questions

Is this different from generating an entire comic?

This workflow concentrates on one panel and its composition. The linked comic tool provides the available creation workflow; a full sequence also needs pacing, transitions and continuity review.

How detailed should the panel prompt be?

Describe the visible beat, the subjects and the few details essential to the story. Avoid putting several successive actions into one panel brief.

Can I place two characters exactly?

State the intended arrangement and use any supported composition references. Then inspect the output. A description alone does not guarantee exact coordinates or correct identity binding.

Should I regenerate the whole panel for one error?

Compare the available correction methods. A local edit may preserve an accepted composition, but it still needs review inside and outside the edited area.

Make the action and relationship in one panel understandable at reading size.

Continue in LlamaGen to check the available tools, model choices, account requirements and credits before generating.