To make an AI model, you need three things: a fictional persona, a generation stack that keeps her face identical across hundreds of shots, and a platform that pays. That is a pipeline, not one lucky render. Search “how to make an AI model” (or how to create an AI model) and most tutorials stop at a single prompt. The people earning from these personas run a small production line instead. This guide walks the full build, from the character brief to the first paying subscriber, and shows where beginners lose the thread and quit.
What does it take to make an AI model?
An AI model is a fictional person you generate and control end to end: one consistent face and body, a defined personality, and a photo-and-video library big enough to post from daily. The technical core of the whole thing is consistency. Anyone can produce a striking portrait in Midjourney on their first afternoon. The hard part is producing the same woman in a new outfit, a new pose, and new lighting, three hundred times, without her face quietly drifting into someone else. That single problem is where most attempts die. A beginner generates one stunning image, cannot reproduce it, and walks away a week later convinced the tools are not there yet. They are. The workflow below is built to solve consistency first, because every step after it (the content vault, the social funnel, the subscription income) collapses the moment the model stops looking like herself.
Step 1: Design the persona before you generate anything
Skipping straight to image generation is the most common early mistake. A model that sells is a character, not a face. Before you open any tool, write a one-page brief: a name, an age (always adult), an ethnicity and body type, a home city, a job or backstory, and a personality that will later drive her chat replies. Then pick a niche and commit to it. Fitness, cosplay, gamer-girl, alt, girl-next-door: the niche decides her wardrobe, her locations, her captions, and which subreddits and hashtags will actually carry her. A specific persona (“28, Lisbon-based pilates instructor with a dry sense of humor”) produces coherent content for months. A vague one (“pretty blonde”) produces a scattered feed that never builds a recognizable identity, and identity is what fans subscribe to.
Step 2: Pick your AI image generation stack
Three routes exist, trading control for convenience. Open models like Flux or SDXL run through ComfyUI and give you total control, including the ability to train the model on your own persona, but they need a capable GPU or a rented cloud one. Midjourney is faster and produces gorgeous results with less setup, though its consistency tools are looser. Dedicated AI influencer generators wrap all of this in a web app and get you moving in minutes, at the cost of flexibility. Our roundup of the best AI influencer generators breaks down the current options in detail.
| Tool | Best for | Consistency control | Rough cost |
|---|---|---|---|
| Flux / SDXL + LoRA (ComfyUI) | Maximum control over one face | High (you train a LoRA) | Cloud GPU ~$0.40–0.80/hr, or a capable local card |
| Midjourney | Fast, high aesthetic quality | Medium (character reference) | ~$10–30/mo |
| Dedicated AI influencer generators | Fastest start, no setup | Varies by app | Free tiers up to ~$40/mo |
| Hunaipot (done for you) | No tooling to learn, persona and library delivered | Handled by the team, you do not control the pipeline | One-off setup per profile plus a monthly management fee |
Whichever route you pick, realism comes from restraint. The tell of an amateur AI model is over-smoothed skin and studio-perfect lighting in every frame. Prompt for imperfect, lived-in detail (natural skin texture, phone-camera lighting, a slightly messy room) and your feed reads as a person rather than a render.
Step 3: Lock the face so every image is the same model
This is the step that separates a realistic, consistent AI model from a folder of pretty strangers, so it deserves the most effort. The strongest method is training a LoRA: you gather 15 to 30 images of your persona’s face from a consistent starting point, then train a small custom model on them. On a rented cloud GPU that training runs in roughly 20 to 40 minutes and costs under a dollar. Once the LoRA exists, every future generation can pull that exact face into any scene you prompt. If you would rather not train anything, Midjourney’s character-reference feature and fixed seeds get you part of the way, and face-swap tools can patch the last mile on individual shots. Whatever the route, treat the first genuinely consistent face as your master reference and never let it drift. Our deeper guide on building a consistent AI character covers the seed, prompt, and LoRA workflow tool by tool. Skip this step and everything downstream, the vault, the posting schedule, the paying fans, quietly falls apart.
Step 4: Build the content library, then add video and voice
A live model burns through content fast. Before launch, aim for a vault of 200 or more photos spread across outfits, settings, and moods, plus a set of casual “selfie” style shots for replying to messages. Photos are the base layer. Motion is what lifts a persona from a slideshow to something believable: image-to-video tools such as Runway and Kling animate a still into a short clip, and a few seconds of movement per post noticeably raises engagement. Voice is the third layer, useful for voice notes and audio replies that keep fans in a real conversation. Batch this work. Generating a month of content in one weekend session, rather than scrambling daily, is the difference between a model you can sustain and one that goes dark after two weeks. A workable cadence once you launch is three to five posts a day across your social accounts, drawn from the vault, so the persona stays visible without you generating anything new that day.
Where AI models make money (and how much)
Generation is the craft. Distribution is the business, and it is where the money actually lives. Most AI models earn on a fan subscription platform, promoted through free social channels that funnel traffic to it. Fanvue is the usual first choice because it openly supports AI creators, and its 20% cut is the same as OnlyFans; OnlyFans has the far larger audience but expects AI personas to be run through a registered agency. Fan platforms expect the account to be labeled as AI, and the FTC’s influencer disclosure guidance applies to any sponsored post, so build both into the bio and captions rather than hiding them.
| Platform | Creator share | AI stance | Note |
|---|---|---|---|
| Fanvue | 80% | Explicitly AI-friendly | Takes 20%, the same cut as OnlyFans |
| OnlyFans | ~80% | Allowed via agency | Largest audience, stricter setup |
| Fansly | ~80% | Tolerated | Smaller, flexible on content |
Earnings vary wildly and depend far more on promotion than on image quality. Realistic outcomes run from nothing at all to a few thousand dollars a month, with a small top tier well beyond that; our breakdown of how much AI influencers make puts real ranges to it. The constraint is never the model. It is whether anyone ever sees her.
Why does my AI model’s face keep changing?
Drift has a short list of causes, and each one is fixable. Most often the training set is the problem: 15 to 30 images that vary in lighting, angle and expression teach the LoRA a blur of the face rather than the face. Re-pick images from one session with a consistent look, front and three-quarter angles included. Next, check the prompt. Long prompts that describe the face in words fight the trained identity, so let the LoRA carry the face and spend the prompt on outfit, pose and setting. The last culprit is strength: set the LoRA weight too low and the face dissolves, too high and every shot looks like the same photo. Test on a fixed seed, change one setting at a time, and keep a log of what worked. Voice notes need the same discipline: lock the settings once and reuse them, as covered in our guide to AI voice for AI influencers.
How long does it take to make an AI model?
A first consistent persona takes most beginners one to three weekends. Expect a day on the brief and the stack, a day or two getting the face stable, and a weekend batching the first vault of 200 photos plus clips. Launch is the easy part. Earning is slower: subscribers follow promotion, and promotion compounds over months, so plan for a long stretch of posting before income looks like income. Anyone promising a paying model in a week is selling something.
How much does it cost to make an AI model?
Cash cost is low. Software runs from free open models to a Midjourney subscription around $10 to $30 a month, plus a few dollars of cloud GPU time to train a LoRA and generate in bulk. Call it under $60 a month to start, less if you own a capable graphics card. The real cost is time and skill: learning ComfyUI, dialing in a consistent face, building 200 pieces of content, and then running daily promotion across several social accounts. That learning curve, not the software bill, is what stops most people, and it is why the done-for-you route exists.
You can build an AI model yourself with the workflow above, and plenty of operators do exactly that to start an AI model business from a spare bedroom. If you would rather skip the months of trial and error on consistency, Hunaipot builds the persona, generates the content library, and sets up the platform so you can start an AI creator business without ever being on camera. Get your AI creator built for you.
