AI Image Generation: From Prompts to Commercial Use
Turn random generation into a controllable process: prompts, parameters, editing and licensing.
Path goal
Finish able to produce a consistent image set, fix details, and know which outputs you cannot use commercially.
Who it's forοΌDesigners, marketers, creators, e-commerce
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Step 1: Know the landscape
International tools lead on aesthetics and realism; Chinese tools lead on Chinese prompts, compliance and free credits. Separating the two before choosing saves half the trial and error.
π‘ Do not subscribe first β use free credits to prove you can get one usable image from one prompt.
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Step 2: Turn prompts into a formula
Subject + action + setting + style and medium + lighting + composition and lens + parameters. Parameters control aspect ratio, stylisation and variance β the line between control and luck.
π‘ Lock the aspect ratio first, then adjust style β the reverse order wastes a dozen generations.
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Step 3: Use Jimeng for Chinese briefs
Chinese prompts work as written. After generating a set, use the smart canvas for inpainting, outpainting and removal to turn "almost usable" into "ready to publish".
π‘ Free tiers limit export resolution and add watermarks β confirm before you deliver.
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Step 4: Build a repeatable workflow
Brief, batch drafts, selection, local edits, upscaling and size normalisation, then layout. A master-image approach locks parameters so series stay consistent.
π‘ Save prompts and parameters in a doc so the result can be reproduced later or by a teammate.
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Step 5: Clear the commercial red lines
Generated does not mean usable. Check the platform terms, check source assets, keep generation records. Trademarks, living artists and real people are the three riskiest prompt categories.
π‘ In commercial work, prefer synthetic faces over celebrity likeness β it saves disputes, not time.