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How to choose clothes based on your body type: MioLook neural network

Camille Durand 10 min read

Over 12 years of working as a stylist and regularly attending fashion shows from Paris to New York, I've learned one paradoxical thing. The biggest enemy of the perfect wardrobe is the mirror in your own bedroom. We look into it not with objective eyes, but through the prism of imposed standards and personal insecurities. A girl with graceful but straight shoulders sees herself as a "broad-shouldered swimmer," while a woman with an average height of 165 cm sincerely considers herself "small." This is why popular online tests for determining appearance type fail miserably. You answer the questions as you got used to it perceive yourself, and not how things are at the anatomical level.

Как использовать нейросеть MioLook для стилизации образов по типажам Ларсон - 8
How to use the MioLook neural network to style images based on Larson's personality types - 8

We discussed in more detail why classical typing systems are outdated and how to find your body architecture in The complete guide to Larson's body types: how to find your style based on your face and body type But today we'll go further. We'll talk about why, in the 21st century, it's important to entrust the task neural network to select clothes based on type can do it with much more accuracy than a real novice stylist or your own opinion.

Why is Larson more accurate than Kibbe, and a neural network more objective than a mirror?

Let's forget the "fruit" system once and for all. Dividing women into "apples" and "pears" was relevant in 2005, but today it sounds like a fashionable throwback. David Kibbee's 13-type system, which made a splash in the 1980s, also has a flaw: it forces you into the rigid confines of a single dominant. If you're a Dramatic, wear strict geometric shapes from head to toe.

Dwyn Larson revolutionized beauty with her original matrix, "20 Types of Beauty." She proved that the face and body can have different Dominant. Statistics are merciless: about 85% of women have mixed features. For example, you might have a Gamine face (requiring fine detailing, contrasting collars, and short haircuts) and a Natural body (requiring loose cuts, textured fabrics, and relaxed silhouettes). Trying to dress such a woman in a style that perfectly matches one type always ends up looking like "one thing, one person."

Как использовать нейросеть MioLook для стилизации образов по типажам Ларсон - 1
Different body types according to Larson require fundamentally different approaches to cut and fabric textures.

A 2023 study by the Fashion Institute of Technology (FIT) found that subjective visual assessments of one's own proportions are incorrect 8 out of 10 times. The neural network is devoid of emotion. It doesn't know that you're self-conscious about your hips. It sees only pure geometry, the mathematics of lines, and millimeters of contrast. Where you see "excess weight," the algorithm reads the rounded bone structure of a Romantic, who is not suited to rigid, architectural cuts.

How MioLook analyzes appearance: from bone structure to microcontrasts

When you upload your photo to MioLook The algorithm doesn't just evaluate your silhouette. Artificial intelligence reads over 50 anthropometric micro-points. It analyzes your jaw angle, shoulder girdle slope, torso-to-leg ratio, chest width, and even cheekbone sharpness.

This style math is instantly translated into the language of fabrics and cuts. How does this work in practice? Let's say the AI determines that you have a "sharp Yang" (Dramatic) trait. This means that soft, flowing knitwear will make your face look tired and your figure look bulky. The algorithm will suggest fabrics that hold their shape: heavy cotton from 180 g/m², architectural gabardine, or viscose with added elastane.

Как использовать нейросеть MioLook для стилизации образов по типажам Ларсон - 2
The neural network reads dozens of parameters: from the sharpness of the chin to the width of the chest.

The algorithm's uniqueness lies in its understanding of the principle of geometric contrast. If you have a mixed complexion, the system will recommend the correct placement of accents: the portrait area is shaped according to the dominant feature of the face, and the silhouette is aligned with the dominant feature of the body.

Photo Preparing: How to Avoid Confusing Artificial Intelligence

For an algorithm to work like an expensive Swiss watch, it needs the right input data. One of my clients complained that the AI identified her as a Dramatic type, even though she's a classic Romantic. It turned out she'd taken a selfie under the harsh light of a bathroom lamp, which had created sharp shadows under her cheekbones—a feature the algorithm interpreted as sharp bone structure.

Как использовать нейросеть MioLook для стилизации образов по типажам Ларсон - 9
How to use the MioLook neural network to style images based on Larson's personality types - 9
  • Lighting: Only frontal diffused daylight (stand facing the window). No side shadows.
  • Cloth: Basic, form-fitting clothing (bodysuits, leggings). A baggy sweater or A-line dress will hide your true figure from the AI. We wrote in detail about how to prepare items for digitization in the article about wardrobe digitization.
  • Angle: Shoot strictly from chest level. If the phone is lower, you'll create the "endless legs" effect and throw off the proportions.
Как использовать нейросеть MioLook для стилизации образов по типажам Ларсон - 3
For accurate AI analysis, tight-fitting basic clothing that does not distort the natural lines of the body is required.

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From Theory to Practice: How to Choose Clothes Based on Your Type Using the MioLook Neural Network

I had a client named Anna in my practice. For years, she considered her shoulders "too broad" and hid them in shapeless, oversized sweaters from COS (average price: around €150), which made her figure look bulky. When we loaded her data into the app, it turned out she was a Romantic with a classic leaning. Her bone structure demanded not concealment, but a defined waist and soft, draping lines.

The app's virtual fitting room feature was a revelation. Anna had always been wary of jackets, thinking they would make her look even wider. The neural network suggested she try on a soft, wrap-around blazer in flowing fabric instead of a stiff, double-breasted jacket (from the Dramatica line). Seeing the result on the screen, Anna bought a fitted garment for the first time in years.

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Virtual fittings help you safely try out styles you might have previously avoided.

By customizing the app's filters after determining your body type, you eliminate up to 80% of the "information noise" in online stores. You no longer need to scroll through hundreds of pages—the AI displays only those silhouettes that anatomically fit you.

Rookie Mistakes: When Artificial Intelligence Is Powerless

I always tell my readers: a neural network is a brilliant analyst, but the final decision is made by a real person. The main mistake I see is blindly following an algorithm without regard for your lifestyle.

Let's say the AI has identified you as a pure Dramatic and suggests a luxurious full-length coat with peak lapels, tailored trousers with creases, and stiletto heels. This would be fantastic for an evening out or a leadership position. But this it doesn't work at all If you live outside the city, get in your SUV every morning and drive your kids to school, and your job doesn't require a strict dress code.

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The most common mistake is buying something that is the right type, but does not suit your lifestyle.

Larson's body type is a vector, not a prison cell. If the algorithm says your lines are strict and long, but you want comfort, don't buy an uncomfortable corset. Find a compromise: go for a relaxed, casual look, but keep it monochrome (which elongates the silhouette perfectly for Dramatic types), or add one piece with a strong shape, like a structured bag from Massimo Dutti for €120-€150.

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Integrating Larson's styles into different areas of her wardrobe

According to the WGSN global report (2024), consumers are abandoning rigid dress codes en masse in favor of a modular wardrobe, where micro-styling to suit individual anatomy is paramount. Let's take a typical situation: you need to dress for an interview at an IT company. The dress code is casual, but you want to look put-together.

If you're a Gamine-Natural, a classic black two-piece suit will transform you into a tired teenager wearing your mom's clothes. The neural network adapts the task to your body type: instead of a tailored blazer, it suggests a cropped jacket in textured tweed or corduroy, and instead of classic trousers, straight-leg jeans of the right thickness. You're respecting the context of the situation, but remaining within the boundaries of your natural geometry.

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Knowing your facial and body features allows you to create the perfect capsule look, even for a strict dress code.

Another common question is how to adapt to trends? A neural network helps "translate" a fashionable item into your body language. A trendy oversized bomber jacket at the Romantica show will look bulky unless you choose a soft satin or suede style that drapes over the shoulders rather than sticking out. If you want to delve deeper into AI-powered image generation, I recommend studying How does the MioLook image generator work?.

Checklist: 5 Steps to a Perfect-Fitting Wardrobe

Theory without practice is dead. To start building a wardrobe you won't want to take off tomorrow, follow these 5 steps:

  1. Take a reference photo: Put on a tight top, stand in front of a window (out of direct sunlight), and ask someone to take a photo of you from chest level. No filters or retouching.
  2. Run an analysis in MioLook: Upload a photo to the app and explore your dominant features. Pay particular attention to whether the facial recommendations match the body recommendations.
  3. Conduct an audit of the portrait zone: Your face is your calling card. Avoid necklines, collars, and embellishments that clash with your facial features (avoid sharp V-necklines for soft, romantic faces).
  4. Test the "danger" zones: Use the virtual fitting room to try on those three silhouettes you always thought weren't yours. You'll be amazed at the results.
  5. Implement changes gradually: Don't throw out your entire wardrobe. Start by buying one basic item (for example, a perfect pair of trousers in the €50-€90 range from Zara or Uniqlo) cut precisely to your body shape.
Как использовать нейросеть MioLook для стилизации образов по типажам Ларсон - 7
The perfect wardrobe isn't about trends, but about pieces that highlight your natural curves.

Style isn't about copying brand lookbooks. It's a deep, almost mathematical understanding of one's own architecture. When you stop fighting your body, trying to squeeze it into someone else's mold, and start using clothing as a frame for your natural geometry, that's when true elegance is born.

Frequently Asked Questions

MioLook's artificial intelligence reads over 50 anthropometric micro-points in your photo, including jaw angle and torso proportions. Unlike a novice stylist or your own judgment, the algorithm is devoid of emotion and inhibitions. It relies solely on precise line calculations and millimeter-level contrasts, ensuring maximum objectivity.

People evaluate themselves subjectively, often through the lens of imposed standards, seeing "excess weight" where the rounded bone structure of a Romantic is concealed. A 2023 FIT study proved that visual assessments of one's own proportions are inaccurate 8 out of 10 times. A neural network, however, sees the pure geometry of the body and selects a wardrobe strictly based on your anatomy.

The division into fruity types is hopelessly outdated, and David Kibby's system confines appearance to the rigid confines of a single dominant trait. Dwyn Larson has proven that 85% of women have mixed features: for example, a Gamine face, which requires fine detail, and a Natural body, which requires a loose fit. The neural network takes both of these dominant traits into account to avoid the "things are separate, people are separate" effect.

Classic online tests often fail because you answer questions based on your habitual self-perception rather than actual physical characteristics. You might genuinely think your shoulders are broad, even though they are anatomically graceful and straight. The algorithm eliminates human error and analyzes your actual bone structure.

The algorithm meticulously studies your jaw angle, cheekbone sharpness, shoulder slope, chest width, and leg-to-torso ratio. This complex biometric math allows it to determine your precise body structure. Once analyzed, the data is instantly translated into suitable styles and fabric textures.

The neural network doesn't think in terms of "flaws"—it analyzes your body's unique geometry. Where you see a problem, the algorithm identifies a specific body type that's contraindicated or, conversely, requires a specific architectural cut. As a result, you receive recommendations that perfectly harmonize with your nature and naturally highlight your strengths.

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About the author

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Camille Durand

Fashion journalist with 10+ years covering Fashion Week. Analyzes trends and translates runway fashion into everyday looks. Knows the industry inside out — from backstage to brand strategies.

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