How can I create realistic images of people holding my product using AI?

Creating realistic images of people holding your product means getting the details right. The grip needs to look natural—fingers positioned correctly, with visible pressure and the product sitting naturally in the hand. The lighting should match between the person and the product. The scale needs to be accurate—not too big or too small relative to the hand. And the overall composition should feel authentic, not staged.

Generic AI tools can generate images of people, and they can generate product images, but they struggle with the integration. The main problem is that they don't preserve your actual product. When you ask them to show someone holding your product, they'll generate a new product instead—one that might look similar but won't match your exact colors, materials, or details. You end up with a generic version, not your actual product.

Tools built specifically for product photography, like Nightjar, solve this by preserving your product exactly as it is. You upload your product photo, select a style like "Lifestyle," or describe what you want—"person holding the product"—and the system places your actual product into the scene. Same colors, same materials, same details. Only the context changes.

Nightjar understands how products interact with people in photography. It models how hands grip products naturally, how lighting works across both the person and the product, and how scale and composition work together. Because Nightjar is trained on professional product photography, the integration looks realistic and natural, matching the quality you'd see in high-end lifestyle photography. You can refine in plain English: "different hand position," "closer view," or "change the model's skin tone."

For lifestyle brands, consumer products, and social media content, images of people using or holding products are essential for that authentic, relatable feel. Nightjar makes this accessible without requiring model coordination or understanding the technical details of how to composite products into human hands realistically.