Practical guide
AI Product Photography Workflow: From Prompt to Final Asset
A strong AI product image starts with fixed product facts, a simple composition, one lighting direction, and a final manual check for labels and geometry.
Last updated: 2026-07-05
Comparison data
| Stage | Input | Output | Review gate |
|---|---|---|---|
| Brief | Product facts | Prompt constraints | No invented claims |
| Concept | Text prompt | 1K draft | Composition |
| Refine | Reference image | Edited draft | Product fidelity |
| Final | Approved prompt | 2K/4K image | Labels and edges |
| Deliver | Final file | Campaign asset | Usage rights |
Recommendations by scenario
New product without photography
Use text-to-image for direction, then replace invented details with a reference-guided pass.
Existing pack shot
Upload the pack shot and ask for environment, light, and surface changes only.
Architecture product context
Describe the space and lighting separately from the product constraints.
Concrete examples
- 01Keep the bottle shape, cap, and label hierarchy unchanged. Place it on pale blue glass with soft water caustics and a clean horizon.
- 02Create a top-down campaign still of this watch on brushed steel, one hard side light, precise shadow, no extra objects.
- 03Preserve the chair design. Move it into a minimal concrete gallery with late-afternoon light and neutral styling.
Limitations and pitfalls
- AI output is not proof of physical product dimensions.
- Small printed copy may need to be replaced in design software.
- Reference editing can unintentionally change unprotected details.
Continue in Kansova
Sources and methodology
This guide uses the supplied provider documentation, current Kansova controls, and published Kansova credit rules. It avoids quality rankings that were not measured in a controlled test.
- EvoLink documentationProvider capability and parameter reference.
- Kansova factsCurrent product capabilities and limitations.
- Kansova pricingCurrent plans and credit allowances.