Yulei Sheng
Nano Banana in Aident AI: Image Workflow Guide
Nano Banana is the informal name used for Google’s Gemini image-generation capabilities. In Aident, you can place image generation inside a repeatable content workflow: describe the asset, generate candidates, review them against brand rules, and pass approved files to the next step.
Google documents the current models, parameters, and supported image operations in its Gemini image-generation guide. Check that documentation before relying on a particular model name or feature because model availability changes.
Build an Image Workflow
Define the deliverable. State the channel, dimensions, subject, composition, and required text.
Add brand constraints. Include approved colors, tone, logo rules, and examples. Do not assume the model knows your current brand system.
Generate alternatives. Ask for a small number of meaningfully different options rather than many near-duplicates.
Review the output. Check text accuracy, anatomy, trademarks, product details, and rights before publishing.
Connect the next step. After approval, draft the accompanying post, save the asset, or hand it to a publishing workflow.
Example instruction:
Create three 16:9 hero-image concepts for a product launch. Use a dark navy background, one centered device, no logos, and no text in the image. Save the outputs for approval; do not publish them.
Why Keep a Human Approval Step?
Image models can produce inconsistent text, unintended brand elements, or plausible-looking details that are wrong. A review gate is especially important for customer likenesses, product claims, copyrighted characters, regulated industries, and paid campaigns. Keep the prompt, model identifier, output, and approval decision together so the result can be reproduced or audited.
Useful Workflow Patterns
Campaign concepts: Generate a few visual directions before writing final copy.
Product mockups: Explore composition while verifying that the product itself is represented accurately.
Localization: Adapt an approved concept for different markets, with a native speaker reviewing any text.
Social variants: Reframe an approved image for channel-specific aspect ratios.
For guidance on the interface between reusable instructions, integrations, and local tools, read Agent Skills vs MCP vs CLI.
FAQ
Can I describe the workflow in plain English?
Yes. Include the goal, inputs, constraints, review step, and destination. Specific instructions produce a workflow that is easier to test.
Does the workflow automatically publish images?
Only if you connect a publishing integration and instruct it to do so. Start with approval required and enable automatic publishing only after the workflow is proven.
