E commerce main image photorealistic ugc image strategy prompt
A tutorial on generating realistic product photos using inspiration images and JSON style descriptors with GPT Image 2.5.
by Miko·CC-BY-4.0 license·via YouMind (CC BY 4.0)·Source ↗
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| 1 | “using this json as reference, generate a person holding my product [attach product image]” |
| 2 | |
| 3 | > GPT-Image 2.5 generates the photo with that person holding your product |
| 4 | |
| 5 | compare it with a version generated without the reference and look at the difference in the lighting and color grading |
| 6 | |
| 7 | > save the generated character photo you’re happy with as your reference |
| 8 | |
| 9 | > for future generations, attach the character photo each time and ask it to preserve the same facial features |
| 10 | |
| 11 | now you have a reference character you can use across multiple product photos |
| 12 | |
| 13 | you can also iterate the base json prompt and chat back and forth with GPT-6 Astra based on what you want, then repeat the same process.. |
| 14 | |
| 15 | i like this because it gives you much more direction over the color grading instead of leaving everything up to the model |
| 16 | |
| 17 | the basic colours and grainy look are some of the things that can make an image feel AI-generated, so pay attention to those when comparing your results |
| 18 | |
| 19 | this is how you can start building a library of high quality ugc images around your own products |
| 20 | |
| 21 | the json gives GPT-Image 2.5 the lighting and color direction, your character reference helps with consistency, and you control the product placement |
| 22 | |
| 23 | once you have that starting point, you can keep creating variations without writing everything from scratch |
| 24 | |
| 25 | GPT-Image 2.5 Sunburst & Flare are available on Higgsfield. try this with your own product and reference images there |
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