What Is AI Product Photography?
AI product photography uses machine learning models - particularly diffusion models and computer vision - to create or transform product images. Given a simple packshot on a white background, AI can generate studio-quality lifestyle scenes, swap backgrounds, add natural shadows, and place products in contextually relevant environments.
This technology eliminates much of the cost and time associated with traditional product photography: no studio rental, no models, no travel, no art direction meetings. A single packshot can become dozens of unique, on-brand lifestyle images in seconds.
Bryft specialises in AI product photography for ecommerce, enabling brands to generate images and videos that match the aesthetic of premium campaigns at a fraction of the cost.
How It Works
Modern AI photography pipelines typically combine a segmentation model (to isolate the product from its background), a generative model (to create a new scene around the product), and an upscaling model (to produce print-quality resolution). The result is an image that looks like it was professionally staged.
Advanced systems also apply consistent brand styling across all outputs, so a batch of 500 product images maintains the same lighting, mood, and color palette - something that is extremely difficult and expensive to achieve with traditional photography.
Benefits for Ecommerce
- Reduce photography costs by up to 90%
- Produce seasonal and campaign-specific imagery on demand
- Maintain visual consistency across thousands of SKUs
- Iterate on creative styles rapidly with no reshoots
- Generate localized imagery for different markets from one base image
Real-World Example
A cosmetics brand has 300 new SKUs to launch in Q1. Traditional photography would cost £45,000 and take six weeks. Using Bryft's AI product photography, they upload 300 packshots and receive 1,200 lifestyle images (4 styles per product) in 48 hours, ready for website, social, and ad use - at a fraction of the original budget.