Overview
NamO Academy Studio provides AI image-generation models you can choose based on your goal. Each model has different strengths across speed, cost, and quality. Choosing the right model helps you iterate faster during exploration and achieve higher quality when you finalize options.
Who it is for: Users who want to know which model to use at each stage; those who need to manage credits and working speed; and small teams or instructors who want to standardize workflows for their members or students.
When to use it: Read this when you are deciding between Nano Banana Basic and Nano Banana Pro, want to optimize cost when generating many variations, need to understand why generation is sometimes faster or slower, or want a clear flow: explore → select options → finalize.
What It Solves
User problem(s): Choosing the wrong model can easily lead to unnecessary NamO Point usage or image quality that is not good enough for presentation. A clear comparison between Basic and Pro helps you use each in the right stage.
Why this feature exists: The two models (Basic at 3 credits per image, 1K only, and Pro which uses credits) serve two goals: quickly exploring many ideas and upgrading the quality of chosen images.
Expected outcome: You pick the right model for each stage of work, save credits, and get image quality that fits your goal (exploration, finalizing, or presenting).
Key Capabilities
- Nano Banana Basic: 3 credits per image, 1K quality only, suitable for exploring ideas and generating many variations.
- Nano Banana Pro: credit-based, higher quality, suitable for shortlisting and presentation images.
- Model selection by stage: explore → select options → refine.
Inputs
- Prompt and structured attributes.
- Input and reference images (depending on the workflow).
- Model choice (Basic or Pro).
Outputs
- New images saved to the board and history.
- Workflow status and results that can be used for refinement or export.
Controls and Parameters
- Model (Basic / Pro) — Determines speed, NamO Point cost, and image quality. Use Basic for exploration and Pro for near-final images.
- Images per run — During exploration, generate 4–8 images per run; when finalizing, use 1–2 images per run to avoid wasting credits.
Model Profiles (Example)
Nano Banana Basic (3 credits, 1K only)
Best suited when
- You need to generate many options quickly to explore ideas.
- You are testing prompts, reference images, or compositions.
- You are in the early stages of a project or assignment.
Strengths
- Lower cost per image (3 credits) for exploration.
- Great for generating many variations to go wide before locking in a direction.
- Well-suited for practice and experimentation in class.
Typical trade-offs
- Quality and stability can vary more than Pro, depending on the scene and inputs.
- Not ideal if you immediately need presentation-ready images.
When to choose
- When you are exploring concepts or still unsure about the style direction.
- When you need many variations for quick comparison.
- When you want to test prompts and attributes at lower cost (3 credits per image, 1K).
Nano Banana Pro (credit-based)
Best suited when
- You already have a fairly clear design direction and want to upgrade image quality.
- You need images for client review, pin-ups, or portfolio.
- You want more stable results across a series of images with the same style.
Strengths
- Higher quality, suitable for presentation-ready images.
- More effective when you use clear prompts and relevant reference images.
- Best when generating fewer but more selective images to refine further.
Typical trade-offs
- Consumes credits for every output image.
- If you generate too many images while the design direction is still vague, credits are easily wasted.
When to choose
- When you have shortlisted strong directions.
- When you need near-final images for presentation or decision-making.
- When you need higher stability between generations.
Recommended inputs
- Clear prompts and structured attributes.
- Relevant reference images for lighting, materials, and composition.
Best practices with Nano Banana Pro (credit-based)
- Use Pro only after you have a reasonably clear direction to avoid wasting credits.
- Change one factor at a time, such as lighting or materials, so comparisons are easier.
- Keep camera angle and lighting consistent when comparing materials.
Common Use Cases
- Explore many options with Basic, then switch to Pro for 3–5 shortlisted images.
- Standardize the team workflow: explore with Basic → decide with Pro → refine.
- Save credits by only using Pro after you have shortlisted options.
Limitations and Known Behaviors
- Speed and wait time depend on system load and the number of concurrent requests.
- Nano Banana Pro consumes credits per output image, so it should be used selectively.
- Result quality depends on the quality of input images, reference images, and how clear your prompts and attributes are.
Best Practices
- With Nano Banana Basic: start with fewer images per run to verify direction; save effective prompts and attributes as reusable templates; focus on finding the right direction before chasing perfect images (Basic is 3 credits per image, 1K only).
- With Nano Banana Pro: use it only when you already have a reasonably clear direction to avoid NamO Point waste; change one factor at a time; keep camera angle and lighting stable when comparing materials.
Audit Evidence
AI Models are used within the project, board, and workflow context. Choosing the right model at each stage supports traceability, comparison, and effective management of the design process.
Operational Notes
Speed and wait time depend on system load. Pro and Basic both consume credits per image; Basic is 3 credits, 1K only. Basic success and error states are shown in the UI.
FAQ
When should I switch from Nano Banana Basic to Nano Banana Pro?
Switch to Nano Banana Pro when you have already selected one to three strong design directions and want to upgrade image quality for presentation; when you need more stable images for client reviews, pin-ups, or portfolio; or when you want a consistent series of images with the same style. If you are still exploring, unsure about style, or testing many prompts, stay on Nano Banana Basic to save credits.
How many images should I generate per run?
There is no fixed number, but you can follow these guidelines: in the exploration stage with Basic, generate 4–8 images per run to quickly see many options. In the selection stage, generate 2–4 images per run for more controlled comparison. In the refinement stage with Pro, generate 1–2 images per run and focus on clear goals. The closer you are to a final decision, the fewer images you should generate each time.
How do I reduce NamO Point waste when using Nano Banana Pro?
Use Pro only after you have shortlisted options; generate fewer images per run; keep camera angle and lighting stable and change just one factor at a time; reuse prompts and attribute sets that already work well; and if an image is almost correct, prioritize refining it (local edits, cleanup, upscaling) instead of regenerating from scratch.
Why do results differ even with the same prompt?
Results can differ because the prompt is too short or unclear, the reference image does not match the context of the input image, there are many conflicting attributes, or the system needs to balance keeping layout versus changing style depending on the workflow. To improve consistency, clarify the prompt, use structured attributes, choose relevant reference images, and change one factor at a time.
When is Nano Banana Basic still good enough?
Basic is usually good enough when you need quick concepts for internal review; you are exploring composition, style, or materials at an idea level; or you are working on assignments that need many options to compare. After you find a solid direction, switch to Pro to upgrade the selected images.