Product photography image prompt
A descriptor stack in slot order, with a negative prompt covering the usual artefacts. Written for image models, free to copy, with every placeholder explained below.
The prompt
{{product}}, {{material_and_finish}}, {{action_or_state}}, on {{surface}}, {{background}}, {{composition}}, {{lighting}}, {{lens}}, high detail, sharp focus --ar {{aspect_ratio}}
Negative prompt:
text, watermark, logo, signature, hands, extra objects, oversaturated, plastic sheen, cluttered backgroundOpen this in the prompt builder to adapt it, score it, and re-render it for a different model.
What to replace
| Placeholder | What to put there |
|---|---|
| {{product}} | The subject. Be specific — "matte black ceramic mug", not "a mug". |
| {{material_and_finish}} | Matte, glossy, brushed, woven. |
| {{action_or_state}} | e.g. "steam rising", "lid open". Optional. |
| {{surface}} | What it sits on. |
| {{background}} | e.g. "dark neutral seamless". |
| {{composition}} | e.g. "three-quarter view, shallow depth of field". |
| {{lighting}} | e.g. "single softbox from camera left". |
| {{lens}} | e.g. "85mm" — changes perspective compression. |
| {{aspect_ratio}} | e.g. 4:5 for social, 16:9 for a banner. |
Why this prompt works
- Slot order preserved
- Subject, action, environment, composition, lighting, style, quality, parameters. Terms nearer the front carry more weight, so the order is doing real work.
- Negative prompt kept separate
- Writing "no text" inside the main prompt often has the opposite effect, because the model weights the term regardless of the negation.
- Photographic vocabulary
- "Single softbox from camera left" steers the result; "nice lighting" does not. The training data is labelled with the former.
- Named lens
- Focal length changes perspective compression, which is one of the strongest signals for a photographic rather than illustrated look.
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Browse the full prompt library, all images & design prompts, or read the guides.