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How to generate a repeatable product shot series from the JSON data with Awesome GPT Image 2 5 Prompts

Filter the product photo prompts in data/prompts.json and reuse one lighting setup across a product line.

  • Content
  • Intermediate
  • 30 minutes
  • From the README
  • Any agent

Who it is forAn ecommerce team or developer producing catalogue imagery for many products with the same look.

The problemEach product shot is written by hand, so lighting, surface and camera position drift between items and the catalogue looks inconsistent.

The outcomeA set of product prompts built from one verified template, with only the product name and details changed for each item.

What you need first

  • Access to a GPT Image model, such as the generator linked in the README (GPT Image 2.5 is not yet open to every account)
  • A text editor to copy prompts from the code blocks in the use case files
  • Optional: a tool that reads JSON, for working from data/prompts.json

Steps

  1. Open data/prompts.json and filter for the product photo use case.
  2. Pick one prompt whose lighting, surface and camera description you want to keep.
  3. Write a small script that fills the placeholder tokens from a list of your products. (inferred, check the README)
  4. Run each filled prompt through the same GPT Image model and save the outputs with the product name.
  5. Compare the set and keep only the prompts that reproduce the look across products.

Prompt for your agent

In the awesome-gpt-image-2-5-prompts repo, read data/prompts.json, select the product photo prompt that best matches <product category>, and fill its placeholder tokens for each product listed in <product list>. Return one prompt per product. Verify that each output keeps the original lighting and camera wording and contains no leftover curly-brace or bracketed-capital tokens.

Caveat. The README notes that the prompts are third-party work with their own terms, so check the author credit and usage terms before using them commercially.

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