MAI Image 2.6 Product Images: Stop Publishing Beautiful but Wrong SKUs
Blog post from Atlas Cloud
MAI Image 2.6 product-image workflow emphasizes preserving verified SKU attributes while using generative tools to create campaign settings, arguing that attractive outputs can still be unsuitable for ecommerce if labels, counts, colors, dimensions, orientation, or accessories change. It recommends starting with an approved or licensed product source, defining immutable facts before prompting, using Flash for rapid background and composition exploration, and rerunning selected candidates in the flagship model for detail-sensitive work. Three fictional examples—a 30 ml serum bottle, a jacket with four crane motifs and four buttons, and a necklace with nine stones—demonstrate prompts and QA checks designed to preserve countable and textual details during edits. The process requires a truth review before aesthetic evaluation, with manual inspection of small text, logos, product counts, packaging details, and visible claims. It also advises changing only one creative variable per test batch, recording each source image, prompt, result, and QA decision, budgeting for retries rather than single-image costs, and relying on verified records rather than generated imagery for factual claims about products, materials, certifications, pricing, or availability.
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