E-commerce visual articles and tutorials about “AI photography”
AI has made lifestyle and mood images far cheaper, but a product image's core job is to show what the buyer will receive. Here's a line drawn by image type: where AI can lead, where it should only assist, where real photos are required, and how AI labelling rules fit in.
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Pick the wrong scene style for a home product and buyers think "that wouldn't go in my place". Here's how to choose styles based on your buyers, the visual cues of common Chinese home styles, keeping small homes believable, and generating multi-style scenes with AI.
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Same product photo, very different results — it all comes down to the prompt. Here is a six-part structure (subject, scene, light, composition, style, constraints) with ready-to-use examples.
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Ordering stock for a new product is a big commitment, and the wrong colour or style can sit in a warehouse for months. AI mock-ups let you test reactions before committing. Here's what to test, how to test it, how to read the data — and the line you must not cross.
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Food relies on looking delicious more than any other category, and it's also where exaggerated images most often lead to complaints. Here's how we handle light, food states, packaging with contents, and the limits food images must not cross.
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The template library has more than seventy templates across product photography, scenes, apparel, appliances, marketing, detail pages, China marketplaces, video covers and more. One template makes one image; combinations cover a whole job. Here are four combinations and the order to use them in.
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Taobao wants squares, Xiaohongshu 3:4, Douyin covers 9:16, store banners something very wide. Cropping cuts into the product; AI outpaint extends the scene instead. Here's how to choose settings, which images extend well, and what to check afterwards.
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Small teams rarely struggle with the tools themselves. They struggle with process: who shoots, who generates, who reviews, where files live. Here's a division of labour, weekly rhythm and checkpoints for a three-person team launching about 20 products a week.
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Launching 200 SKUs at once makes white-background images the most basic and most time-consuming job. Here's a complete workflow: shooting for clean cutouts, choosing AI cutout settings, which products need manual review, and naming and spot-checks.
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