AI image basics at a glance
When using a visual model, a short description steer the system toward a subject, before you review the result.
The tool has learned associations between text recent report and image content, so it can combine familiar elements.
For an early-stage project, AI image generation can supply rough visual directions, from a campaign mockup to a story illustration.
Before relying on the image, check faces closely, because generated visuals can contain strange features, despite an appealing overall composition.
Useful prompts state the image’s focus, such as “a ceramic lamp on a desk”, rather than relying on a broad mood alone.
Describe features that define the season or time of day, such as a sunlit kitchen at dawn, without crowding the main subject.
Composition words can guide the position of important objects, such as “a wide view with space on the left”, which is useful when text or cropping matters.
Style terms work best when it names concrete qualities, like clean geometric shapes and a limited palette, rather than piling on vague praise.
Use exclusions sparingly without obscuring the scene you want, such as an unwanted logo or extra object, while stating what should appear instead.
For a repeatable workflow, separate the main idea from its treatment: action, location, lighting, and style, so you can revise one part at a time.
A stronger prompt for a useful result
Make an initial version from a focused prompt, then note what works and what fails, rather than starting over without a reason.
A focused change lets you track results, such as changing a wide shot to a close view, before you decide on another edit.
When the basic description works, try a limited variations, then compare their subject placement and mood, so selection follows the brief.
Match the image’s proportions to the page where it will appear, like a landscape visual with open space, instead of being cut off during layout.
An inpainting pass can address one problem, for instance, revise the lamp shade, though the edited area still needs review.
Record the prompts that work beside each selected option, so you can return to a strong direction, when several people share the work.
A stronger image after a close review
If accuracy matters, read the small text as well as the headline, because a plausible label can still be incorrect, then add approved text with a design tool.
Zoom in on small details after the final edit, like a broken border or odd reflection, or distract from the main subject.
Match the exported file for the intended layout, with enough room for the planned composition, and can be placed without awkward stretching.
Across a shared design task, separate experiments from approved assets, and keep the preferred prompt nearby, without overwriting a useful option.
For a matching series, record the consistent style choices, then replace only the subject-specific details, to catch changes in tone or layout.
Responsible use of generated images with attention to detail
Permission to publish may depend on the account you used, and ask a qualified adviser if necessary, before placing it in paid material.
Before uploading a reference image, confirm whether your organization has an approved tool, when the material belongs to a client, using fictional examples where suitable.
Be clear about synthetic visuals if people may mistake it for a documentary photograph, especially when the image depicts a real event, rather than letting a visual imply false evidence. Consider the image’s context before publishing a photographic visual, using the disclosure standard for the publication, so presentation does not imply a false record.
An uploaded sketch used within its allowed scope, when the file came from a client, so keep permission and reuse conditions in view.
For an accessible page, describe its purpose in words, and avoid copying decorative detail into the description, as part of a clear design.
Use a visual model as a creative tool, then check accuracy, permissions, and presentation, before it reaches a client or reader.