Adults only. How to build an AI girlfriend in her twenties who keeps the same face between images, with the apps, settings and prompt we start from.
Adults only. Every companion described on this page is an adult woman between eighteen and twenty-five, and the apps below all require you to be eighteen or over. With that said, here is the technical problem specific to this age band: it is the most crowded region of every image model's training data, which makes it the worst for face consistency. There are so many near-identical candidate faces that the model settles on a different one each time you generate, and the one it settles on is an average of thousands, so it looks like everybody else's companion. You get instability and sameness at once.
Below: the apps whose character locking actually holds a face still, our verdict on what this category is like to live with, the vocabulary that keeps a render unambiguously adult and recognisably one person, and the exact settings and prompt we would start from.
Character locking is the whole answer to this category's problem, and this is the platform that builds around it. Top image score of the eight as well.
Equal on image quality at the same $19.99. Worth running in parallel, because a face you cannot make distinctive on one model is sometimes trivial on another.
Free tier and strong all-round scores. That matters here more than elsewhere, since finding a face worth locking takes a run of generations before you keep one.
$12.99 with strong memory and natural voice. Buy this one for continuity of character rather than continuity of pixels.
Another shot at a different default face. In a category defined by averaging, changing the model is the fastest way to change the average.
Same score band as Lovel and Xotic, different model. A genuine escape route when everything a platform gives you looks like the same person.
Image score of 9 and the largest library here. Note the trade: browsing a big public library is exactly how you end up with a face thousands of other people already have.
Romance-first with the lowest image score of the eight, at 7. Reasonable if you want the relationship, poor value if the portrait is the point.
These scores are our editorial judgement of the category, not of any single app and not measurements. Every character discussed is an adult. The scores describe what tends to go right and wrong when you build a companion in her twenties anywhere.
| Criterion | Rating | What it means for you |
|---|---|---|
| Face consistency between images | The weakest point. This age band has the densest training data and therefore the most interchangeable faces, so the model picks a slightly different one each generation. Lock the character the moment you get one you like. | |
| Looking like a specific person | Default output is an averaged, filtered, symmetrical face that resembles the platform more than it resembles anyone. You have to add asymmetry deliberately to escape it. | |
| Ease of setup | Easy to get something good-looking on the first try. Hard to get the same good-looking result twice, which is a different problem entirely. | |
| Feels distinct | Low, and the honest score. This is the default output of every companion app on the market, so without deliberate work your companion looks like the demo image. | |
| Filter friction | Real but manageable. Age-adjacent prompts get scrutinised, and vague or diminutive wording will get you refused. State an explicit adult age and describe an adult woman and most of the friction disappears. | |
| Looks good in a scene | The upside. Everyday settings, casual wardrobe and natural light are all heavily represented for this age band, so scenes come back clean and well-composed. |
We revise these as the underlying image models change. If your experience differs, tell us. We would rather correct a page than defend it.
A starting point, not a rule. The order matters more here than in any other category: generate, choose, lock, then change nothing. Anything you adjust after locking risks resetting the face to the platform average.
| Setting | Suggested value |
|---|---|
| Stated age | Write an explicit number, twenty-two or twenty-four rather than a range. It anchors the render, keeps the character unambiguously adult and reduces filter refusals. |
| One distinctive feature | The most useful thing you can do. A gap between the front teeth, a mole above the lip, a slightly crooked nose, heavy eyebrows. One irregular detail is what makes a face survive as recognisable. |
| Hair | Pick something with structure: a blunt cut, a fringe, a specific colour. Long loose waves are the default and the least identifiable option available. |
| Beauty and smoothing settings | Turn them down. Maximum beauty converges every face on the same idealised template, which is the exact failure you are trying to avoid. |
| Character locking | Non-negotiable in this category. If a platform offers it, use it on the first acceptable image rather than the fifteenth. |
| Wardrobe | Ordinary adult clothing. Jeans, a knit, a jacket. Styling that is too polished pushes the render toward stock-photo sameness. |
| Personality | Write an adult life around her: work or study, a flat, friends, an argument she keeps having. Personality is what persists between sessions when the face does not. |
Prompt to copy
A 23-year-old woman, photorealistic portrait. Dark brown hair in a blunt shoulder-length cut with a full fringe. Brown eyes, thick eyebrows, a small mole above the left side of her lip. Natural skin texture, minimal makeup. Wearing a grey crew-neck knit and a denim jacket. Soft daylight from a window, neutral indoor background. Moderate realism, no beauty smoothing, sharp focus on the face.
Four directions the same category can go in. Copy one, paste it into the character builder, and change the parts you disagree with.
Plain lighting, plain background, one irregular feature. Generate this first and lock it, then build everything else on top.
A 22-year-old woman, photorealistic studio portrait. Dark hair pulled back, a few loose strands. Brown eyes, thick eyebrows, a small scar through the right eyebrow. Natural skin texture, no makeup. Plain black top, plain mid-grey backdrop, soft frontal key light. Moderate realism, no beauty smoothing, sharp focus on the face.
Everyday adult clothing and daylight. The most forgiving scene in the category and the one that regenerates most reliably.
A 24-year-old woman sitting on a sofa, photorealistic. Light brown hair in a messy bun, freckles across the nose, a gap between her front teeth. Oversized grey sweatshirt and jeans, bare feet. Bright overcast daylight through a large window, plain flat interior. Natural skin texture, moderate realism, no beauty filter.
Evening styling without losing the face. Keep the distinctive feature named or the model resets to its default.
A 25-year-old woman, photorealistic. Black hair cut to the jaw, sharp fringe, dark eyeliner, a mole above the lip. Black slip dress, gold hoop earrings. Warm bar lighting, dark blurred background with amber bokeh. Natural skin texture, moderate realism, no smoothing.
The version that looks least like an AI render, because it asks for the things beauty settings normally delete.
A 23-year-old woman outdoors, photorealistic. Red-brown hair, windblown. Uneven skin tone, visible pores, no makeup, slightly crooked front teeth. Green raincoat over a hoodie. Flat grey daylight, wet street in soft focus behind her. High skin detail, moderate realism, no beauty filter, no smoothing.
Word choice does two jobs on this page. It decides whether the model renders one recognisable adult or its house average, and it decides whether the platform's moderation layer lets the prompt through at all. Both point the same way: be explicit, be specific, describe an adult.
| Term | What you actually get |
|---|---|
| A 22-year-old woman | The best opening phrase available. Explicit, adult, unambiguous, and it reduces both face drift and filter refusals. |
| In her early twenties | A good alternative to a number and slightly more natural in a persona description. Pair it with a number somewhere in the prompt. |
| University-age, graduate, in her final year | Adult framing that carries a setting with it. Useful when you want the age band implied by a life stage rather than stated. |
| Young woman | Acceptable and adult, but weak on its own. It gives the model no anchor, so add an explicit age alongside it. |
| Vague or diminutive age wording | Avoid it entirely. Anything that could read as under eighteen is both a moderation refusal and a badly-defined instruction. There is no upside. |
| Character lock, character consistency | The platform feature that reuses one face across generations. The single most valuable feature in this category. |
| Seed | The number that fixes a generation's randomness. Reusing it is the manual version of character locking on platforms that do not offer one. |
| The default face | The averaged, symmetrical, filtered result you get when you describe nothing distinctive. Recognisable across every app on the market. |
| Asymmetry | Any irregular feature: a mole, a scar, uneven teeth, a crooked nose. What you add to break out of the default face. |
| Beauty setting or smoothing | The slider that pushes a render toward the default face. Turn it down, and ask for natural skin texture instead: pores and uneven tone are what separate a person from a rendering. |
Yes. Every app listed here requires you to be eighteen or over, and every companion described on this page is an adult woman aged eighteen to twenty-five. Platforms enforce this with age verification and content filters, and prompts that read otherwise are refused.
This age band is the most heavily represented in training data, so the model has an enormous pool of near-identical faces to choose from and lands on a slightly different one each time. Lock the character on the first image you are happy with, and add one distinctive irregular feature so there is something specific to hold on to.
Because the default output is an average of that huge pool, sharpened by beauty and smoothing settings. Turn the beauty setting down, name an asymmetric feature, and choose hair with actual structure rather than long loose waves.
The one at the top of the page, on the strength of image quality plus character locking, which is what this specific problem needs. If you care more about the companion than the portrait, the memory-led apps lower down give you more for less money.