AI image creation workflow: from brief to final exports

An AI image workflow organizes the decisions between the brief and the delivered file. Define the purpose, prepare references, make a first attempt, select a direction, correct specific problems and inspect the final exports. Give each stage a clear result before moving to the next.

Open the Image Studio: Nano Banana 2 starts from your references for a first test, then Seedream v5.0 Lite Sequential generates a consistent series.

The method applies to a series of images, whether you work alone or with a team. A shared document and clearly named files are enough to begin. If you are new to the basics, start with getting started with AI creation.

Define the deliverable, not just the subject

Choose the task-specific checks that match the brief. A realistic illustration needs attention to lighting and composition for photorealistic images; a recurring fictional subject needs a character-consistency method. If the input is an unclear existing photograph, start by improving the blurry photo with AI.

“An image of coffee” leaves the important decisions open. “A horizontal illustration for an article about taking a reading break, without embedded lettering and with clear space on the left” establishes a practical use.

Add the audience, destination and person responsible for approval. Check the destination’s actual image requirements rather than choosing dimensions simply because they are available in the creation tool. To pick a model for the deliverable, see the guide to choosing an AI image generator for your project.

Consider a fictional team preparing three article illustrations: reading, taking notes and pausing between tasks. The shared direction is warm colors, a light table and uncluttered scenes.

Set common acceptance criteria plus one image-specific requirement. The reading image should make the book the focal point. The note-taking image should communicate writing without relying on invented text scattered across the page.

Prepare references with a stated purpose

For a professional profile image, use the LinkedIn headshot preparation and likeness checklist. A reference that establishes someone’s identity requires different checks from an image used only for color or mood.

Collect only references you are authorized to use. Explain what each contributes: a palette, composition or object that must remain accurate. An unexplained folder of attractive images can contain contradictory instructions.

Separate style references from factual constraints. A real product’s shape or a brand mark is not merely an aesthetic preference. If it must be exact, compare the result with the original; for a product, the guide to creating AI product photos covers the method with Product Shooting.

Keep a provenance note alongside the files so future users can understand where the inputs came from.

If a reference is no longer suitable, update the brief before producing more images. Otherwise, different members of the team may unknowingly work from different assumptions.

Create a shared prompt and short variations

For this article series, the shared direction could be: warm illustration, soft lighting, a light table, few objects and no logos or lettering. Each variation then describes its own subject.

Example prompt for the reading image:

Illustrate an open book on a light table, accompanied by a plain cup. Warm atmosphere with soft light from the right. Make the book the main subject. Use a horizontal composition with quiet space on the left for page layout. No readable text, logos or people. Do not depict an identifiable real venue.

Change the subject for the other images while retaining only the constraints that matter to the series.

Avoid adding incompatible styles to make the request sound sophisticated. A clear direction makes selection and revision easier. For detailed prompt construction, use the AI image prompt guide.

Approve one representative attempt before expanding

Start with one image that tests the shared direction. Review the palette, object density and space available for layout. If these choices are wrong, fix them before repeating the approach across a batch.

Is your brief ready? Generate the first image in the Image Studio with Nano Banana 2; for a consistent series, Seedream v5.0 Lite Sequential creates 1 to 15 images at once.

Keep the selected result and reuse it as a reference image in the Image Studio. It helps everyone understand what was approved.

Separate direction selection from targeted revision

Selection asks which direction works. Revision asks what specific issue prevents a selected version from meeting the brief. Mixing the two often produces requests that change the whole concept while calling the change a small edit.

A useful note for the reading image would be: “Keep the light and table; reduce the cup’s prominence so the book remains the focal point.” That is more actionable than “make it better.”

Resolve blocking problems first: the wrong subject, a misleading depiction, unusable composition or an unwanted element. Minor preferences come afterward.

For a local fix, start again from the selected image as a reference instead of regenerating the whole scene. When the direction changes substantially, give the result a new version rather than treating it as the same approved file.

Track the status of each image

Use a short production list to distinguish created files from approved ones:

Image	Status	Next decision
Reading	Direction selected	Reduce the cup’s prominence
Notes	Brief ready	Create the first attempt
Break	Reference incomplete	Confirm which objects belong in the scene

Assign a project identifier and version number. A filename such as reading-header-v02 is more useful internally than several files called “final.” Record approval against the specific version, not just the general idea.

The newest file is not automatically the approved file. Check that it addresses the feedback without introducing another problem before changing its status.

Review the series and then the exports

Place the images side by side to compare lighting, palette, detail density and subject emphasis. Consistency does not require identical compositions, but the set should feel intentional.

Open the actual exported files separately. Check dimensions, crop, sharpness and unwanted lettering. Review each image in its destination, especially if the website or platform crops it automatically.

Keep a high-quality source version before preparing delivery files. Choose format and compression according to the destination requirements, then inspect the result. A smaller file is helpful only when it remains suitable for its purpose.

Check mobile layouts when relevant. Important information should not disappear because an image container uses a different crop on a smaller screen. If a crop fails, prepare an appropriate version rather than assuming viewers will open the original.

Prepare publication information as part of delivery

For a web page, choose a descriptive filename and prepare alternative text based on the image’s role. Describe what helps the reader understand the content; do not turn the description into a list of search terms.

Google explains that alternative text and surrounding page content help it understand an image, while the filename provides a smaller clue.

For the informative reading illustration, a possible description is “Open book and cup on a light table.” Adapt it to the actual image and context. A purely decorative image needs a different treatment in the page rather than a promotional keyword description.

Add a caption when it is important to distinguish a generated illustration from documentary photography. Keep the source notes with the delivered assets.

Frequently asked questions

Should I automate the workflow immediately?

No. Establish the criteria and review process on a small set first. Once the method is validated, bulk image editing applies the same instruction to the whole set.

Can I reuse exactly the same prompt?

Yes, as a starting point. For images that match each other, generate the series in one go with Seedream v5.0 Lite Sequential. Keep relevant references, settings and decision notes to understand differences between attempts.

When should revisions stop?

Stop when the brief’s acceptance criteria are satisfied and the delivery checks pass. A new preference is not always a reason to reopen an approved version.

What should I do first?

Choose three related images, define their shared criteria and generate the first image in the Image Studio. Test the process on one image before expanding production. A repeatable workflow depends on clear decisions, not just repeatable prompts.