5 Tips for the Perfect AI Outfit Swap

AI clothes changers have gotten impressively good, but the output is only as good as the input. After testing thousands of generations, we've found that a few simple practices make the difference between a so-so result and one that looks like a real photo.

1. Use a full-body photo

The AI needs to see your entire body to place the garment correctly. A waist-up selfie might work for tops, but for dresses, suits, or full outfits, a full-body shot gives the model the context it needs to render proportions accurately.

Tip: Have someone else take the photo from about 2 meters away, or use a timer. Arm's-length selfies distort proportions.

2. Good lighting, plain background

Shadows and clutter confuse the AI. The best input photos have:

• Even, natural lighting (near a window is ideal).
• A plain, uncluttered background (a blank wall works perfectly).
• No heavy shadows across the body.

Think of it like a passport photo — boring backgrounds produce the best results.

3. Wear fitted clothing

If you're wearing an oversized hoodie in the input photo, the AI has to guess where your body actually is. Fitted clothing gives the model a clear read on your body shape, so the new garment sits correctly.

This is especially important for dresses and tailored items where silhouette matters.

4. Face the camera

Standing straight toward the camera (or at a very slight angle) gives the AI the most information to work with. Profile shots, turned shoulders, or extreme poses reduce accuracy.

If you want a side-view result, it's better to start with a front-facing input and let the AI handle the angle.

5. Be specific in your text description

When describing the outfit you want, details help. Compare:

• Vague: "a dress"
• Better: "a red floral summer dress"
• Best: "a knee-length red floral wrap dress with short sleeves"

The more specific you are, the closer the AI gets to what you're imagining. Include color, length, pattern, sleeve style, and fit.

Bonus: try multiple generations

AI generation is not deterministic — running the same input twice can produce slightly different results. If the first image isn't quite right, try again. Most users find that the second or third attempt nails it.

That's it

These five tips cover 90% of what separates great results from mediocre ones. The technology is powerful — it just needs clear input to do its best work.