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Product Customization Variation

How can I change the age of the model in my product photos using AI?

Age representation in product photography works in broad categories, not specific years. Think in buckets: babies, kids, teenagers, people in their twenties, middle-aged, seniors. AI won't distinguish between "25 years old" and "26 years old"—those fall into the same visual category. Use descriptive terms that capture what age actually looks like: "middle-aged woman" or "senior man" work better than precise numbers because they signal the visual characteristics the AI needs to generate—skin texture, posture, hair styling, facial structure.

The challenge with general AI tools like ChatGPT, Gemini, or Midjourney is that age changes affect the entire image. When you request an older model, they might adjust lighting, color saturation, or even the product's appearance to match what they think "older" looks like. You end up with a different model and a different-looking product, which breaks consistency across your catalog.

Product photography tools like Nightjar are trained on professional product images where the product stays constant while models vary. Since they focus exclusively on model generation (unlike general AI that creates everything from scratch), they understand that age is a model attribute, not an image-wide aesthetic. You upload your product, specify the model age in the prompt, and the AI adjusts only the model's appearance—skin texture, facial features, body language—while your product remains unchanged.

Matching model age to your target audience matters for conversion. If you're selling skincare to people in their 50s, using 20-something models creates a disconnect. For products with broad appeal, create multiple variations with different age groups so more customers can visualize themselves using what you're selling. When specifying age in prompts, include contextual details that help the AI: "middle-aged woman with natural gray highlights" or "senior man with confident posture" gives the AI the visual cues it needs beyond just the age category.