Nano Banana User Guide

The screenshots in this guide come from an earlier Nanobanana.co interface. They show how a text-driven image-editing workflow was presented at the time; they are not a record of a new test on NovaVideo. Use them to understand the sequence, and follow the controls and terms displayed in the service you use today.

The appeal of a natural-language editor is easy to understand: describe a change, provide an image, and compare the result. The harder part is writing a useful request and deciding whether the output actually preserves the details that matter.

This walkthrough uses the 5W1H framework to organize the workflow and SMART goal setting to plan a manageable project. The aim is a repeatable process for preparing, reviewing, and saving images rather than a promise of a finished design in one attempt.

Platform Overview: The 5W1H Framework

Who Should Use Nano Banana?

These examples give creators across all industries a concrete starting point:

• Photographers: Explore a retouching direction before detailed finishing
• Designers: Compare background and composition ideas
• E-commerce: Draft product scenes while checking item accuracy
• Marketers: Develop visual concepts for campaign review
• Content Creators: Try cover images and thumbnail compositions

What Is Nano Banana?

The original model behind the name is Google's Gemini 2.5 Flash Image. An AI-first image editor built around it combines a written request with any supported reference inputs; the surrounding application determines the controls you can use.

Core Capabilities:

• Request a visual change in natural language
• Use a character reference to guide an edit
• Try a different background or setting
• Describe how elements from several images should relate
• Explore a new treatment or style for an existing image

Technology Stack:

• The original model belongs to Google's Gemini Flash family
• Google's launch materials describe SynthID marking of generated images
• Model capabilities and the website's controls are separate parts of the workflow

When to Use Nano Banana

For work where speed and consistency matter, set a review standard before you start:

• Compare thumbnail ideas for the same campaign
• Explore a product in different everyday settings
• Develop a restoration direction for an old photograph
• Visualize a room or scene concept
• Prepare variations for a recurring content theme

Where to Access

Web-based platform: novavideo.ai

• Open the relevant image tool in your browser
• Check its accepted formats and upload limits before selecting references
• Use the current account and results controls; the screenshots below are historical

Why Choose Nano Banana?

Key Advantages:

• Character Consistency: Reference-based edits let you assess whether identity survives a change
• Processing Speed: Measure the full path to an acceptable image, including revisions
• User Accessibility: Describe the intended edit without specifying every manual operation
• Quality Assurance: Keep a separate review step for text, faces, and product details

How It Works

The Complete Workflow:

1. Account Setup → Sign in and check available credits
2. Image Upload → Add references accepted by the editor
3. Prompt Writing → Describe changes and preservation requirements
4. Generation → Submit and follow the task status
5. Refinement → Compare the result and revise if needed
6. Download → Save the version that meets your brief

Step-by-Step Walkthrough: From Zero to First Image

Step 1: Initial Setup and Account Creation

Homepage First Impressions: The archived landing page introduces background changes and reference-based image work. Its “Try Now / Launch AI Image Editor” wording belongs to that interface. On the current site, open the relevant generator and follow the sign-in route shown there.

Account Registration:

Historical registration screen; available sign-in methods and offers may differ today.

• Choose a sign-in method currently offered by the service
• Check the account balance and any applicable welcome-credit conditions
• Review the current plan terms before making a purchase

Step 2: Understanding Pricing Plans

Pricing Structure:

• Starter: A tier shown in the archived screenshot, not a current price quote
• Basic: Compare the present credit allowance and billing period
• Pro: Check whether its current allowance fits your expected usage
• Max: Confirm availability and terms in the live pricing interface

Step 3: Using the Image Editor

Interface Highlights:

• An upload area for the source images needed by the edit
• A prompt field for the change and the details to preserve
• A generation control to submit the request after reviewing settings
• Credit information to check before starting another attempt

Step 4: Crafting Effective Prompts

Example Prompt Structure:

Replace the cloudy sky with a warm sunset,
add a neon sign reading "OPEN" on the shop window,
slightly increase light on the subject's face
while keeping original facial features.

Best Practices:

• Name the element you want to change
• State which visible details should remain
• Describe the intended light or atmosphere in concrete terms
• Split a complicated request when you cannot easily evaluate all changes together

Step 5: Generation and Review

Generation Process:

• Wait for the task state rather than assuming a fixed completion time
• Read any status or error information in the result area
• Compare the actual output with the source and written request
• Preview the image before deciding to download or revise it

Step 6: Iterative Refinement

Refinement Prompt Example:

Reduce neon brightness by 20%
Preserve skin tone exactly

Refinement Strategy:

• Treat the example as a request, not a guarantee of a precise percentage change
• Adjust one important element at a time
• Compare the new result visually with the earlier version
• Supply the appropriate reference again when the workflow requires it

Step 7: Asset Management and Download

Download Features:

• Select the available output format in the tool you are using
• Locate completed work in the current results or asset area
• Keep chosen versions with their prompts and settings for later comparison
• Use only the download actions shown; the screenshot does not establish current bulk-export support

SMART Goal Framework for Maximum Results

Strategic planning makes a creative experiment easier to finish. Define what counts as an acceptable image, how many requests you can afford, and when you need to stop exploring. The framework helps organize work; it does not guarantee business results.

SMART Methodology Applied

Specific: Define the deliverable and its constraints

• Prepare thumbnail candidates for one named campaign
• Draft product scenes for a clearly defined catalog section

Measurable: Track both resources and acceptance

• Record credits spent against the project budget
• Count approved images and revision requests separately

Achievable: Match the scope to the resources available

• Check the live credit allowance instead of relying on the old plan screenshot
• Leave room for review and manual finishing as well as generation

Relevant: Connect the image task to its intended use

• State where the asset will appear and who will review it
• Prioritize required deliverables before optional experiments

Time-bound: Set a review date as well as a production deadline

• Review early campaign concepts in a short working session
• Schedule catalog updates with time for corrections

Real-World SMART Plan Example

Objective: Prepare a seasonal product-image draft set
Specific: Explore 15 lifestyle scenes from approved product references
Measurable: Track accepted images, total credits, and revision count
Achievable: Set a credit ceiling after checking the current generation cost
Relevant: Supply candidates for the product team's review
Time-bound: Complete the first review within 7 days

Advanced Techniques and Best Practices

Prompt Engineering Strategies

Structural Elements:

• Action: Identify the requested replacement, addition, or adjustment
• Context: Describe the setting, lighting, and relationships between objects
• Preservation: Name the faces, labels, shapes, or other details to keep
• Quality: Specify the intended visual treatment and delivery needs

Multi-Step Approach:

1. Base Edit: Establish the main change
2. Refinement: Correct the most important mismatch
3. Polish: Inspect the details and finish outside the generator where needed

Workflow Optimization

Multi-Image Merging:

• Select a small set of relevant images within the tool's current limit
• Explain which source supplies each subject or visual feature
• Check scale, perspective, shadows, and lighting in the combined result

Iterative Development:

• Settle the overall direction before working on minor details
• Keep the reference that best represents what should survive the next edit
• Describe the difference you want, then compare the actual change

Risk Management and Compliance

Financial Safeguards

Credit Protection:

• Check a failed task's status and settlement in your account
• Compare the displayed request cost with your available balance
• Review billing terms before changing a subscription

Cost Control:

• Begin with a small number of planned requests
• Track actual usage before selecting a larger package
• Set a project budget with room for revisions

Quality Assurance

Built-in Protections:

• A provenance marker does not certify that the pictured details are accurate
• A content filter does not replace checking rights to your source material
• Saved results still need selection and review before publication

Troubleshooting Common Issues

Input Problems

• File Size: Follow the limit shown for the selected editor
• Resolution: Use a source in which the important features are visible
• Format: Choose an accepted format rather than relying on the archived interface

Prompt Issues

• Vague Instructions: Name the subject, action, and relevant setting
• Overly Complex: Divide the request into changes you can evaluate separately
• Conflicting Requirements: Decide which reference or instruction takes priority

Output Quality

• Inconsistent Results: Compare the same identifying features across versions
• Unwanted Changes: State what to preserve and supply a suitable source
• Style Mismatches: Explain the desired treatment without mixing incompatible directions

Strategic Recommendations

Choose Nano Banana When You Need:

• Character Consistency: A reference-based workflow where resemblance is checked at each step
• Rapid Iteration: A way to try focused visual changes within a defined budget
• Natural Language Control: An editor driven by written instructions
• Professional Quality: A draft to review and finish against your delivery requirements

Integration with Existing Workflows

Design Teams:

• Develop early visual directions before detailed production
• Compare selected concepts in client reviews
• Keep references and feedback with the chosen draft

Marketing Operations:

• Prepare a planned set of social-image concepts
• Create clearly differentiated candidates for later testing
• Review brand elements in each asset before release

E-commerce:

• Explore product settings from approved source images
• Check labels and proportions in seasonal catalog drafts
• Finish promotional assets against the product team's requirements

A useful image-editing process starts with a clear change and ends with a deliberate review. The model can help explore the space between those points, but it does not decide which details are acceptable for your project.

The historical screenshots illustrate that sequence. For current plans, upload rules, and account actions, use the information shown in the live interface rather than the old screen captures.

Start with one image you understand well. Write the change, name what should remain, and compare the output. That small loop provides a practical foundation for a larger creative project.