Practical GPT Image 2 prompt checklist for cleaner product shots

If your GPT Image 2 product shots look plastic, cluttered or oddly lit, the fix is usually the prompt structure, not the model. Here is the checklist I use.

1. Lock the subject first

Start with one sentence: object, material, color, angle. Example: "matte black ceramic coffee mug, three-quarter view, on a plain oak table."

2. Lighting phrases that work

• "soft diffused window light from the left"
• "large softbox, gentle shadow falloff"
• "rim light to separate the product from the background"
• "overcast daylight, no harsh highlights"

3. Background and framing

Say "seamless light gray backdrop", "negative space on the right for text", "85mm lens, shallow depth of field". Keep it to one background idea.

4. Negative notes

Write what to avoid as plain sentences: "no text, no logo, no watermark, no extra objects, no distorted hands, no glare on the label."

5. When to use inpainting

Do not regenerate the whole image for one flaw. Mask the problem area (a warped handle, a stray reflection) and re-prompt only that region. Outpainting helps when you need extra canvas for banners.

6. Iterate in small steps

Change one variable per run: lighting, then angle, then background. Compare, keep the best.

Where to try it

If you want a free place to practice GPT Image 2 style generation (image2 / images2 workflows), images2gpt.com is an independent free AI image generator with free credits, inpainting, outpainting and style blending, and you can try it without signing up. It is not affiliated with OpenAI. Full link: https://images2gpt.com/

Happy prompting, and share your best product-shot phrases in the comments.