Design a distinctive AI character by defining their role, appearance, clothing, and signature detail, then record the look in a character sheet. Reuse that reference to keep the character recognizable across later images and videos.
How to make AI characters people remember, on varg: define the character (premise, archetype, contrast), write the details (face, body, age, flaws, one signature detail), dress them (garment by garment, materials, fit, one loud colour), pick a category recipe, then lock the look in a character sheet and reuse it in later images and videos (Nano Banana, Seedream, GPT Image, Kling 4, Seedance 2.5, Wan 3). Use when someone asks to create, design or describe a character, an AI influencer or persona, a mascot, a character sheet or turnaround, or the same character in new scenes or videos. Category recipes: varg-character-grandma, varg-character-big-guy, varg-character-cringe, varg-character-beautiful-woman, varg-character-fitness, varg-character-absurd, varg-character-cartoon. Not for multi-scene ads from real actor photos (varg-consistent-characters), a speaker on a stage (varg-character-keynote) or two-person podcasts (varg-podcast-video).
Run score Not tested
See how to installReview the instructions the agent will receive before you install.
How to make a character people remember, and keep it the same in every later image and video. Generation runs on varg: the MCP server (https://mcp.varg.ai/mcp, call_tool) or POST https://api.varg.ai/v2/tools/{image|video}/call. Quote prices in credits. Facts marked Tested were run on varg on 2026-10-27.
A default request ("make a beautiful woman", "make a funny old man") gets the model's average person: pleasant, symmetrical, forgettable. Characters that spread have a gap between what people expect and what they see, written in exact, visible details. The prompt is the whole craft: who they are, what their face and body look like, what they wear.
One line of premise + one archetype + one contrast.
| Part | Example |
|---|---|
| Premise | "84-year-old Sicilian grandmother who solves everything with a wooden spoon" |
| Archetype | very old · big guy · cringe deadpan · beautiful woman · fitness · absurd hybrid · cartoon |
| Contrast | age vs behaviour (a granny on a scooter), size vs job (a 160 kg florist in a tiny pink apron), seriousness vs costume (a deadpan man on roller skates), object vs life (a T-rex made of bread) |
Pick the category recipe; each has the details, clothing and ready characters for its type:
| Category | Skill | Example |
|---|---|---|
| Grandmas and grandpas | varg-character-grandma | Nonna Rosa, 84, leopard housecoat, gold tooth |
| Big guys | varg-character-big-guy | Bruno, 48, 160 kg florist in a tiny pink apron |
| Cringe deadpan characters | varg-character-cringe | Gérard, 61, 2 m tall, mustard corduroy suit, roller skates |
| Very beautiful women | varg-character-beautiful-woman | model looks, real skin, fashion or swimwear editorial |
| Fitness characters | varg-character-fitness | Mara, 31, CrossFit coach, lime sports bra |
| Absurd characters and mascots | varg-character-absurd | Baguettosaurus, Señor Pincho the cactus, Hector the sheep |
| Cartoon sitcom characters | varg-character-cartoon | Gary Pruitt in the yellow 2D sitcom look |
Numbers behind these archetypes (what spread on X and Instagram in 2025–2026, and why): references/archetypes.md.
The face and body carry identity. Write them as things a camera can see, in this order:
Ban list: "beautiful" or "perfect" as quality words, "8k masterpiece", "flawless", a celebrity's name.
Clothes are the fastest read after the silhouette, and they are what drifts first between shots.
{
"id": "nonna-rosa",
"premise": "84-year-old Sicilian grandmother who solves everything with a wooden spoon",
"body": "150 cm, sturdy round build",
"face": "deeply wrinkled tanned skin, age spots, one gold front tooth, thick black cat-eye glasses",
"hair": "silver hair in pink foam curlers under a black lace headscarf",
"wardrobe": "leopard-print quilted housecoat over a plain black dress, beige compression stockings, fluffy red slippers",
"signature": "gold front tooth + wooden spoon",
"palette": ["#B08850", "#111111", "#E8C9A8", "#C8102E", "#F2A7C3"],
"style": "photoreal, natural skin texture",
"never_change": ["gold tooth", "cat-eye glasses", "curlers", "leopard housecoat", "red slippers"],
"sheet": { "model_sheet": "<url>", "face": "<url>", "body": "<url>" }
}
Build every prompt from the card, word for word, so the description never drifts.
Character reference sheet for AI video, flat light-grey studio background, even soft studio light,
no text, no labels, no logos. Top row: three full-body views at the same scale on one ground line:
front, side profile, back, arms relaxed, empty hands. Bottom row: three large head-and-shoulders
close-ups: front, three-quarter, side profile. The same <person> in every panel: identical face,
hair, body, outfit and proportions. CHARACTER: <details>. WARDROBE: <clothing>. <STYLE>.
| Character | Model | Credits |
|---|---|---|
| Photoreal person | seedream_5_pro (native 2K, best skin) | 7 |
| 3D, cartoon, clay, creature | nano_banana_2_1 | 6 |
| Labelled sheet for a client | gpt_image_2_5 or nano_banana_2_1 | 24 / 6 |
Swap the bottom row for expressions when the character has to act. More layouts (from photos, expression, outfit, prop, labelled bible): references/sheet-prompts.md.
Then cut two crops: a face close-up and a full-body front (ffmpeg -i sheet.jpg -vf "crop=iw/3:ih/2:0:ih/2" face.png and crop=iw/3:ih/2:0:0 for the body), upload them (create_upload), and keep the URLs in the card.
files to nano_banana_2_1 and describe only what changes: "First reference image is Nonna Rosa's face, second is her full outfit. Show this exact woman riding a red vintage scooter through a narrow Palermo street, wooden spoon raised." Tested: both the sheet and the crops kept her identity.kling_v4 (Tested: most faithful, 83 credits for 5 s). Never pass the sheet itself as a first frame.seedance_2_5 with @image1 = face crop, @image2 = body crop gave the steadiest face (203 credits for 5 s with audio). Add: "Use the references for identity only. Do not copy the sheet layout, labels or grey backdrop. No grid, no picture-in-picture, no on-screen text."Per-model reference fields (Kling elements, Wan 3, Vidu, Omni Flash, MiniMax H3, Recast), route pinning and drift fixes: references/downstream.md.
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