How can manufacturers update product images without reshooting?

Key Points

• A single approved product image can be reused across multiple campaigns and channels
• Background replacement places products into new lifestyle or commercial environments
• Style transfer applies new materials, finishes, or lighting without altering product geometry
• Batch workflows enable consistent updates across entire product ranges
• This approach removes the need for repeat studio shoots when ranges, finishes, or seasons change

Comparison

Best Practice Workflow

1. 1

   Start with an approved product image

   Use an existing packshot or lifestyle image that accurately represents the product. Transparent or clean backgrounds work best, but are not required. You need to create a detailed product description to augment the masking process.

2. 2

   Choose how the image needs to change

   Decide whether you are updating the environment (background replacement), the finish or material (style transfer), or making targeted adjustments such as lighting or colour.

3. 3

   Apply the workflow using reference inputs

   Use reference images or written instructions to define the new scene, material, or finish. This keeps results aligned with brand and product intent. Depending on the model, you need to adhere to the prompting rules.

4. 4

   Generate and compare variations

   Create multiple variations in one run. Review outputs side-by-side to select the versions that meet brand and accuracy requirements. Once happy, you can apply an upscaler to increase resolution or remove blemishes.

5. 5

   Save and reuse across the catalogue

   Export approved images or save them against product records so the same workflow can be reused across SKUs, finishes, or future updates.

See the Workflow in Action

Common Mistakes to Avoid

• Starting with low-resolution source images that limit output quality
• Using cluttered backgrounds that reduce product detection accuracy
• Writing vague instructions instead of specific, descriptive inputs that follow specific prompting rules
• Skipping AI enhancement steps that improve accuracy and consistency by locking the product description properly
• Not creating workflows that allow you to generate subtle variations so you can pick the best and edit from there

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