Original Summary

I'm MinshengLiu, the creator of Image to Image ( https://imagetoimage.dev/ ). I tested a white-chair photo with a request for a sage-green studio background. The background and lighting changed, but so did the framing, seat edge and leg details—even though the prompt asked to preserve them. I published the original, prompt and actual AI output rather than treating a plausible image as an accurate product photo. That led to a small free prompt builder: choose one of six editing tasks, describe the change, list the details to preserve, then copy the instructions into your preferred editor. It builds text in the browser; it doesn't upload photos or generate images. No signup. Free builder and the real example: https://liubrain39.github.io/image-to-image-prompt-guide/ Full editing case: https://imagetoimage.dev/image-to-image/product-photo-background#real-example The linked image editor is my paid product; the standalone builder is free. These prompt templates don't guarantee unchanged details, and only the chair example is a documented generation test. If a product must remain pixel-for-pixel identical, a conventional cutout/background editor is a better fit. For people building or using image editors: which preservation failure is most costly for you—shape, labels, colors, or something else? I'd use that feedback to improve the review guide.   submitted by   /u/Traditional_Baby_959 [link]   [comments]

  • 情报分类：商业与市场研究
  • 分类依据：内容涉及商业、投资或市场动态
  • 信息来源：Reddit · SideProject
  • 发布时间：2026/10/10 12:18:18