How can I change the skin tone or ethnicity of my fashion models using AI?

When you're selling to a specific market, the models in your product photos need to reflect that audience. If you're targeting customers in Argentina, using models with German features creates a disconnect—customers don't see themselves in the product, which directly impacts relatability and conversion rates. The same applies to any demographic: your imagery should match who you're selling to, not just what looks generic.

The problem with general AI image generators like ChatGPT, Gemini, or Midjourney is that they're trained on a broad mix of internet images, not specialized product photography. When you ask them to change a model's skin tone or facial features, they often alter the product too—shifting colors, distorting proportions, or changing material textures. You end up with a different model, but also a different product, which defeats the purpose.

Tools built specifically for product photography, like Nightjar, are trained and optimized to understand the distinction between the product and the model. You upload your product image, then type something like "make the model look South Asian" or "change the model's skin tone to match a Mediterranean complexion" directly into the prompt box. The AI modifies only the model's appearance—skin tone, facial features, body type—while preserving your product's exact colors, text, proportions, and material details.

This separation matters because product photography requires precision. Generic tools treat the entire image as one editable canvas, but specialized tools understand that the product is the constant and everything else—the model, lighting, background—can change. Nightjar maintains that boundary, so you can adapt your imagery to different markets without compromising product accuracy.