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Streamlining Retail Imaging with Generative AI

Generate photorealistic product images for fashion retail with AI-powered background integration.

fashion retail industry

The Opportunity

ADSP helped a leading fashion retailer revolutionise their product imaging workflow using generative AI. The solution enabled the rapid placement of products into AI-generated or custom backgrounds, allowing teams to test multiple looks in minutes rather than days. By reducing the need for physical photography, shipping, and scene setup, the retailer cut costs, accelerated creative cycles, and maintained photorealistic, on-brand visuals—all while keeping sensitive assets fully in-house.

What we did

✔Self-Hosted Generative Model Deployment: Utilised open-source image generation models on GPU-enabled containerised servers. This ensured robustness, scalability, and strict control over data privacy. ✔Custom User Interface: Developed an intuitive UI, enabling users to upload products, select/generate backgrounds, and adjust placements in real time. ✔ControlNet Integration: Incorporated ControlNet to precisely manage object placement, background lighting, and shadow realism, ensuring the output was photorealistic.

The Results

In 1-3 minutes, the tool was able to regenerate integrated foreground product images with any supplied or generated background by adjusting pixel colours and shadows across the image to maintain realism. The client was able to iterate over several product placement ideas within matter of minutes, cost saving thousands in shipping, scene setup and photography costs. The client could experiment with product images to optimise sales using generative photography.

< 3 Mins

to produce high quality images.

How we did it

ADSP’s strategy centred on privacy, data sovereignty, flexibility, and quality. By deploying self-hosted generative models within the retailer’s own infrastructure, the solution removed reliance on third-party cloud services. This ensured all product images and associated data remained secure and under the retailer’s full control, maintaining data integrity and protecting sensitive visual assets. A bespoke user interface was developed to empower non-technical users, providing intuitive controls to manage the image generation process. Users could easily adjust parameters such as creativity levels, compute time, and background selection, enabling efficient experimentation and rapid iteration across different product and background combinations. ControlNet was integrated to guarantee consistent visual standards across all generated outputs. This ensured coherence in lighting, shadows, and placement, producing realistic and visually consistent product images that aligned with the retailer’s brand and quality expectations.

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Streamlining Retail Imaging with Generative AI

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