1. What e-commerce scenarios is CommercePix AI best for?
It is designed for storefront hero images, product detail-page sets, marketplace main images, SKU asset packs, lifestyle scenes, social covers, paid social creatives, and product retouching. The goal is to turn product references into publishable, reusable commerce visuals faster, whether you are launching a new SKU, refreshing a listing, or preparing for a campaign.
2. What is the difference between SKU packs, generate, clone, and retouch?
SKU packs preserve one product's name, reference images, brand settings, platform, language, clarity, and ratio, then generate a connected set of assets. Generate creates new product visuals from your assets and prompt. Clone applies the layout and selling rhythm of a bestseller reference to your own product. Retouch improves an existing product photo while keeping it recognizable.
3. What should I upload before generating images?
Upload clear product photos, packaging images, detail shots, or real usage scenes. References that show appearance, material, structure, and finish help the model preserve product identity more reliably. Upload the views that matter most to the task. More images are not always better if they add noise or conflicting angles.
4. Which image formats and sizes are supported?
Common formats such as JPG, JPEG, and PNG are supported, and each image must stay within 5MB. Uploads are validated for type and size before generation begins. Files that do not meet the limits are skipped with a visible message so the user knows why they were not included.
5. Why is text inside generated images sometimes inaccurate?
Image models can still make mistakes with complex embedded text. Use a clear image-text language, keep headlines and selling points short, and avoid asking the model to render long paragraphs inside one image. Always review spelling, claims, and platform compliance before publishing commercially.
6. How are credits deducted, and are failed tasks refunded?
Before generation, SKU asset pack generation, or retouching, the server checks the enabled model credit configuration, quality level, and requested quantity. Credits are deducted only when the balance is sufficient and the task enters the model workflow. If a task fails or times out under the protected failure path, credits are refunded for failed images while successful images remain charged.
7. Who owns the generated images, and can I use them commercially?
Subject to the Terms of Service, you own the outputs you generate and may use them for your own commercial e-commerce purposes. AI outputs can still contain inaccuracies, so review product accuracy, image text, marketplace compliance, and brand claims before publishing or using paid traffic.
8. Where are uploaded product images stored, and is it secure?
Uploaded assets, generated results, and task records are saved by account for history, downloads, and iteration. Sensitive keys and model calls are handled on the server, not exposed in the browser. Private workspace routes are not meant for public indexing. See the Data Security page for more detail.
9. What can AI e-commerce video generation help me create?
It turns a clear product start image and a short video direction into a product-motion concept for PDP heroes, short-form ads, social previews, and launch tests. Review product details, on-screen text, and channel rules before publishing.
10. What assets and rights are required for e-commerce video generation?
Use a clear product image and upload only products, people, brands, and scenes that you own or are authorized to use. The inputs needed for the task are sent to configured video-model services and the result is saved in your task history.
Related workflows
If you arrived here from search looking for an AI product image generator, product retouching, bestseller cloning, or pricing details, these are the main pages to start from.