AI Product Photography Studio

AI Product Photography Studio transforms real product reference photos into commercially useful ecommerce imagery, production prompts, shot plans, and visual audits.

It preserves visible product identity—including shape, proportions, materials, colors, packaging, branding, labels, typography, controls, ports, screens, product condition, fill level, and orientation—while allowing the environment, lighting, composition, and campaign purpose to change.

Unlike a generic “make this product look professional” prompt, the skill performs reference-sufficiency checks before production and applies a structured quality gate after every result. It detects unseen geometry, conflicting product versions, altered physical state, invented branding, fake certifications, unsupported claims, implausible materials, packaging errors, and inconsistencies across multi-image sets.

Create:

• Clean ecommerce packshots • Premium advertising hero images • Realistic lifestyle scenes • Product detail and material shots • Amazon, Etsy, Shopify, and website listing images • Social media and paid-ad variations • Coordinated marketplace image sets • Product-launch concepts and moodboards • Production-ready image prompts • Quality audits of existing AI product images

The skill supports reflective products, transparent containers, electronics, flexible packaging, branded food packaging, opened or used products, and other difficult product types.

It preserves the product’s actual physical state instead of silently turning opened, dented, worn, partially filled, folded, or imperfect products into pristine retail items.

For electronics, it protects the number, type, order, orientation, and color of visible ports, buttons, switches, indicators, screens, and connectors.

For transparent and reflective products, it separates permanent product properties from temporary reflections, refractions, background objects, and lighting.

When exact small typography, screen pixels, label artwork, logos, or compliance marks cannot be preserved through image generation, the skill makes one focused correction attempt and then recommends deterministic compositing instead of presenting an inaccurate result as production-ready.

Every result can receive one of four clear quality decisions:

• Pass • Revise • Need Input • Composite

The skill requires at least one usable product reference photo and does not invent an unseen product from a text description alone.

No API key, CLI, MCP server, external package, environment variable, or paid dependency is required by the skill itself.

Tested through 26 behavioral scenarios and eight materially different real-product image tests.