Consistent AI Character in AI OFM: One Face, No LoRA Needed

Say you post a gym selfie on Monday and a café shot on Thursday, and the comments ask whether it's the same woman. That's face drift, and for an AI OFM persona it's costly: people follow someone they recognize, not a stream of attractive strangers.

You can fix it without ComfyUI, a graphics card or a trained LoRA, by applying one rule everywhere: every image is generated from the same fictional face reference, and every video begins on one of those images. Reference-image models copy identity from that picture instead of guessing it from words, and video tools animate what's already in the frame, so the face carries through.

Spicy Studio's free AI OFM playbook (it opens with a free account) teaches the workflow with ready-made prompts; this guide zooms in on the face itself.

Type “a 30-year-old woman with wavy auburn hair” and you've described a whole crowd of possible faces. The model settles on one; run the prompt again and it picks another. More adjectives narrow the field without closing it, so no same-face AI prompt works reliably without a picture attached.

A reference image turns the model's job from inventing into copying: identity comes from your pixels, and the prompt only covers what's new.

That matters more for AI OFM than for most AI work, because a persona account sells continuity. A jaw slightly wider in one post and eyes set slightly closer in the next read as two people, and a feed of near-misses looks like what it is: a pile of generations.

Create the master in the Image Lab: Nano Banana 2.1, the default model, costs 12 credits at 2K, and GPT Image 2.5 costs 9 at 1K on medium quality. Keep the shot plain so later models can read every feature:

“Front-facing portrait photo, square 1:1. A 31-year-old woman with shoulder-length copper hair, light olive skin, a thin scar through her left eyebrow and a few freckles across her nose. Relaxed neutral expression, lips together, eyes on the camera. Soft window light, plain off-white wall. Natural skin with visible pores, no makeup filter.”

Make a handful of versions and choose the face you'd pick out across a room. One or two anchor features, like that scar or an unusual hair color, make the persona memorable and give you a two-second test later: no scar, wrong face. Save the winner with a backup and treat it like a passport photo; replace it and you've launched a different person.

Two rules with no exceptions. The persona is fictional and unmistakably adult. An age in the prompt doesn't settle that: Fanvue's Community Guidelines (checked October 2026) say AI-generated people must not look like minors, and that a stated age or disclaimer doesn't fix a face that does. If the face could pass for someone under 18, start over. And never build the master from a real person, a celebrity or photos you found online: Fanvue bans using AI to impersonate anyone but the account owner, and Spicy Studio's Terms rule out real, identifiable people without documented consent. More in Is AI OFM Legal?

A character sheet is one wide image of your character from several sides, usually front, three-quarter, profile and full body, on a plain background. Generate it from the master, not from scratch, so it adds angles without adding a face. With the master attached in Nano Banana 2.1 at 21:9:

“Character reference sheet on a plain light-gray background. The same woman as in image 1, shown four times side by side: front view, three-quarter view, left profile and full body standing. Identical face, copper hair, eyebrow scar and build in every view. Plain black T-shirt and dark jeans, even daylight, no text.”

Regenerate if any panel has a different nose or jawline. Then use the sheet two ways.

As a stress test. If the face survives profile and full-body views, it will survive your scenes. If not, fix the master before anything is posted.

As a second reference for hard angles. Attach the master as image 1 and the sheet as image 2, and say what each is for (“face from image 1, body and proportions from image 2”). The master stays image 1; if the sheet makes a scene worse, drop it.

Every model below accepts reference images, and the master always goes in first.

Nano Banana 2.1. Up to 14 references, 12 credits at 2K or 18 at 4K. The default model, a good all-rounder for scenes and the playbook's pick for the enhance pass. Nano Banana 2 also takes 14, at 10 credits for 2K.

GPT Image 2.5. Up to 16 references at +1 credit each; 1K, 2K or 4K with five quality levels (9 credits at 1K medium before references). Flare is the default for everyday work and Sunburst is tuned for precise production edits, at the same price (Flare vs Sunburst). The older GPT Image 2 is still available with up to 16 references and no per-reference charge, and the playbook's first-frame prompt opens in it (GPT Image 2 launch guide).

Spicy Imagine Pro. Powered by ByteDance's Seedream 5.0, up to 10 references, 8 credits at 2K. Call your images “Figure 1”, “Figure 2” in the prompt.

18+ models, after a one-time 18+ confirmation: Spicy UNCENSORED, also Seedream 5.0, takes up to 10 references for 8 credits at 1K or 10 at 2K (2–6 references add 1 credit, 7–10 add 2); Wan 2.7 Image takes up to 9 for a flat 6 credits and keeps an image's structure closely when editing.

Spare slots aren't for more faces. Use them for a pose photo, a product, an outfit or the character sheet; several different face photos tend to blend into an average, and averages wander.

With the master attached, the prompt describes everything except the face.

Who. A few words that point at the reference, such as “the 31-year-old woman from image 1”; long face descriptions compete with the picture.

Scene. Place, time of day, outfit, props, action.

Camera and finish. Vertical 9:16, phone height, slightly imperfect framing, natural skin, no beauty filter. Phone framing feels lived-in; polished studio light looks like a campaign.

Lock line. End with a sentence that protects identity: “Her face, hair and eyebrow scar stay exactly as in image 1.”

Assembled for GPT Image 2.5 at 1K medium (10 credits with one reference):

“The 31-year-old woman from image 1 sits at a small window table in a neighborhood café on a weekday morning, holding a ceramic mug in both hands, wearing a cream knit sweater. Vertical 9:16 phone photo from across the table at eye level, slightly off-center, coffee cups soft in the foreground. Daylight from the window, natural skin texture, no beauty filter. Her face, hair and eyebrow scar stay exactly as in image 1.”

Change the café, the sweater and the hour as often as you like; the face stays put.

Or start from your own photo. The playbook's first-frame workflow also works the other way: attach a photo with the pose and setting you want as image 1 and the master as image 2, and ask for the same photo with the woman from image 2 in it (11 credits in GPT Image 2.5 at 1K medium). Real photos bring real light and framing. Use photos you took or have the rights to, and for 18+ content build the scene from a prompt instead of editing anyone's photo.

Raw generations often come out slightly soft or with the waxy sheen that gives AI away. Fix that with one pass in Nano Banana 2.1 (12 credits at 2K), naming what must not change before asking for anything:

“Improve this photo's quality only. Do not change the woman's face, hair, expression, pose, clothing or the background. Add fine detail to skin, hair and fabric, even out the light and keep it looking like a sharp phone photo.”

Put the result next to the master. If her face has shifted at all, delete it and rerun the enhance on the original generation; enhancing an enhanced image lets small changes add up.

What a finished frame costs. A GPT Image 2.5 scene at 1K medium with one or two references (10–11 credits) plus a 2K Nano Banana 2.1 enhance (12) is 22–23 credits. New accounts get 25 free credits, enough for a master face and a first scene. Basic, at €10 a month, includes 600 credits, about 26 finished frames before rerolls; see the pricing page.

Whatever video tool you use, the clip begins as your still, and no video model can rescue a weak face. Start from a finished frame where the face is sharp, turned toward the camera and big enough to read.

Motion control. Record the movement yourself (3–30 seconds, one person, face in view throughout), then recreate its first frame with your character, using a screenshot and the master as references. In Character Swap, Kling 3.0 Motion Control takes your frame as the character image and your recording as the motion video: 20 credits a second at Standard or 27 at Pro, billed for at least 3 seconds. Details: motion control steps and the Kling 3.0 Motion Control guide.

Lip sync. Pair a frame where she faces the camera, lips together, with an MP3 of up to 60 seconds in Lip Sync: 10 credits a second at Standard (480p) or 18 at Pro (720p), 5-second minimum. When a motion reference has the face turning away, this is the safer route (lip-sync workflow).

Animate. For one simple action, attach the frame to Seedance 2.0 or 2.5 in the Video Lab and describe what happens, in order (animate workflow).

First and last frame. Kling 3.0 needs a start frame and accepts an end frame (60 credits for 5 seconds at Standard), and Seedance and Kling Omni O3 take a last frame too. Make both from the master so the clip opens and closes on your character.

Talking sketches. Seedance can voice the dialogue too (sketch workflow, Spicy Pro); see 6 viral Reels formats.

Spicy content follows the same rule, master first. Spicy UNCENSORED and Wan 2.7 Image handle stills. Spicy UNCENSORED Video, powered by Alibaba's Wan 3.0, takes a first frame and an optional last frame (2–30 seconds, 6 to 25 credits a second by resolution, at least 26 a clip), and HappyHorse 1.1 turns a required first frame into a silent 3–15 second clip (14 credits a second at 720p).

These models unlock after a one-time confirmation, saved to your account, that you're 18 or older (or the age of majority where you live, if higher). Generations are private to your account by default, and Spicy Studio doesn't use anything made with the mature models for marketing or promotion. The rules don't bend: fictional adults or consenting adults only, no real, identifiable person without documented consent, nobody who looks under 18, and automated moderation blocks prohibited content. All 18+ models are on the models page.

A little different in every image. You changed the reference, added another face photo or described the face differently each time. Go back to the master alone and a two-word description.

Right in stills, wrong in video. The face was small, turned or partly hidden in the first frame. Frame tighter, turn her to the camera and regenerate; for talking clips, use lip sync.

Plastic skin. Over-smoothed skin is the quickest tell, and it erases the pores, freckles and fine lines people use to recognize a face. Ask for natural skin texture, then do one enhance pass.

Hands melting in motion. Hands half outside the frame are a gamble: once they move, the model has to make up the rest. Leave space around anything that will move.

Drift after cleanup. Stacked enhance passes. Always enhance the original.

Before you animate, ask: Is the face sharp and easy to see? Is it the same master as your other posts? Vertical 9:16? Would a stranger take it for a phone photo? Do the clothes and place suit the niche? Is there space around the hands?

Not at the start. A LoRA is a small add-on model trained on images of your character, usually run in a local tool such as ComfyUI, and experienced operators like its control at very high volume or for unusual angles. The overhead is real: a strong graphics card or paid cloud GPUs, software to maintain, a curated training set, and a fresh training run whenever a better base model comes out.

Reference images trade some of that control for speed: nothing to install, no training, pay per image, and when a new model launches you attach the same master and carry on. They aren't flawless, so check every image against the master and discard the odd one that slips.

A consistent face makes a persona believable, which is why platforms want it labeled. As of October 2026:

Instagram. The AI-generated profile label, announced August 31, 2026, is for profiles whose main person is AI-generated. Unlabeled profiles Instagram detects are notified and may see their reach limited; profiles labeled proactively keep their reach.

TikTok. The Community Guidelines effective September 24, 2026 require a label on AI-generated content showing realistic-looking people or scenes.

Fanvue. All AI-generated media needs a clear, prominent disclosure, such as a watermark, caption or bio statement.

Next: the free AI OFM course shows where this fits, What Is AI OFM? covers the basics, why Spicy Studio suits AI OFM tours the toolset, and Nano Banana 2.1 prompts has more to adapt.

This guide teaches a production skill. It is not a promise of income or a business opportunity, and it isn't legal or financial advice. A consistent character won't by itself bring followers or sales; many persona accounts earn nothing, and results vary with your content, niche, audience, effort and costs, including credits and platform fees. If you make income claims, post sponsored content or sell to fans, follow the law where you operate: the FTC in the US, the Competition Bureau in Canada and the ACCC in Australia treat misleading earnings claims and hidden ads as illegal. None of them has reviewed or endorsed this guide. For realistic numbers, read Make Money With AI OFM.