Photorealistic UGC Image Strategy

提示词

“using this json as reference, generate a person holding my product [attach product image]”

> GPT-Image 2.5 generates the photo with that person holding your product

compare it with a version generated without the reference and look at the difference in the lighting and color grading

> save the generated character photo you’re happy with as your reference

> for future generations, attach the character photo each time and ask it to preserve the same facial features

now you have a reference character you can use across multiple product photos

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..

i like this because it gives you much more direction over the color grading instead of leaving everything up to the model

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

this is how you can start building a library of high quality ugc images around your own products

the json gives GPT-Image 2.5 the lighting and color direction, your character reference helps with consistency, and you control the product placement

once you have that starting point, you can keep creating variations without writing everything from scratch

GPT-Image 2.5 Sunburst & Flare are available on Higgsfield. try this with your own product and reference images there

中文译文

分析这张照片，并提供一份非常详细的 JSON 提示词来描述其视觉风格。请务必详细拆解色彩分级、光照以及照片中的所有确切颜色，以便我能将这种外观应用到我自己的图像中。使用此 JSON 作为参考，生成一个手持我产品的人物。保持相同的面部特征。

溯源

原作者

Miko

发布日期

2026-09-09

原始出处

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收录来源

YouMind-OpenLab/awesome-gpt-image-2 · 33936 · CC-BY-4.0