Editing and consistent series
How to locally edit an image and maintain a consistent series with Nano Banana?
- Nano Banana
- Gemini
1250 € per session, excl. VAT
In short
Improve the visual consistency of your marketing and communication campaigns. This course teaches you how to use the local editing and consistent generation features of Nano Banana in Gemini to produce image series aligned with your brand identity, ensuring greater recognition and impact across all your channels.
Why this training?
- The problem
- Fragmented uses and results that are hard to verify.
- What it costs today
- Manual rework and decisions based on incomplete information.
- Why this skill
- An image edited in Gemini using Nano Banana with consistency checks.
- What you gain
- An image edited in Gemini using Nano Banana with consistency checks.
Objectives of this training
- Master local edits on specific areas of an image.
- Create a consistency sheet for a character or scene.
- Generate an image series that respects the defined consistency.
- Combine multiple images to create a new composition.
- Optimize text rendering within generated images.
- An image edited in Gemini using Nano Banana with consistency checks.
Who is it for and what are the prerequisites?
Roles and tasks concerned
- Marketing professionals
- Digital content creators
- Graphic designers and art directors
Prior skills
- AI Fundamentals and AI Prompting completed, or equivalent experience (a learning prerequisite, not a registration condition).
- Have practised: Understand Gemini and get started or Understand Nano Banana and get started, or have equivalent skills. Authorised Gemini account; Gems, images and research subject to actual access. Docs/Gmail need an eligible Workspace licence and administrator permissions. Video requires an adult account, paid Google AI plan or eligible Workspace licence; verify region, quota and feature before the session. Final editing is external.
- A paid subscription to an AI solution offering the features used, the organisation’s authorisation for third-party tools, and the actual accounts and access rights.
To prepare before the session
- Authorised Gemini account; Gems, images and research subject to actual access. Docs/Gmail need an eligible Workspace licence and administrator permissions. Video requires an adult account, paid Google AI plan or eligible Workspace licence; verify region, quota and feature before the session. Final editing is external.
What you will work on
Introduction to Image Editing with Nano Banana
Discovering the Nano Banana interface in Gemini.
Building and Using a Consistency Sheet
Defining the key attributes of a character or scene.
Generating Consistent Image Series
Using the consistency sheet to generate new images.
Advanced Techniques and Finalization
Exploring the combination of multiple images into one.
What you take away
- An image with targeted local edits.
- A series of three consistent images based on a character or scene.
- A consistency sheet for a visual project.
Method and assessment
- Demonstration of available features, guided exercises and an independent case.
- Peer review of the deliverable and correction against original sources.
The participant presents the stated deliverable, justifies sources and permissions, identifies and corrects an error and explains limitations. Assessment rubric: accuracy, traceability, access control and handover to a colleague.
Frequently asked questions
What concrete outcome is assessed?
An image edited in Gemini using Nano Banana with consistency checks.
What access is needed before the session?
Authorised Gemini account; Gems, images and research subject to actual access. Docs/Gmail need an eligible Workspace licence and administrator permissions. Video requires an adult account, paid Google AI plan or eligible Workspace licence; verify region, quota and feature before the session. Final editing is external.
Which step should come before this course?
Have practised: Understand Gemini and get started or Understand Nano Banana and get started, or have equivalent skills.
How are data protected and results validated?
Use fictional, anonymised or explicitly authorised data. Your organisation’s designated person checks sources, rights and results before use; subscriptions and external access are not assumed to be included.
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