Nano Banana 2 AI Image Generator
Nano Banana 2 is a focused image model for ad variations, product compositions, social assets, banners, and rapid concept testing. It is designed for growth teams, content operators, ecommerce sellers, and creators producing many format variants.
Where this image model fits real creative work
Nano Banana 2 is best understood through concrete production scenarios rather than a generic feature list. The examples below show its strongest role in a working content pipeline.
Primary production use
Nano Banana 2 is particularly suited to ad variations, product compositions, social assets, banners, and rapid concept testing. Its 0.5K through 4K output, 14 references, and ratios from 1:8 to 8:1 helps teams move from a defined brief toward a usable result.
Reference-guided direction
Use the model for reference-heavy edits that must move quickly from source material to publishable options. A smaller, intentional reference set usually produces clearer direction than a large collection of conflicting examples.
A repeatable team workflow
The recommended process is to bring several visual references into one prompt, choose a delivery format, and compare fast variants before committing to a high-resolution result. This makes reviews easier because each iteration changes one deliberate part of the brief.
Delivery-aware output
Plan the final channel before generation. The available controls—0.5K, 1K, 2K, or 4K output; up to 14 references; 15 aspect ratios; 8 credits per generation—make it easier to align cost, format, and quality with the intended delivery surface.
Capabilities, controls, and production tradeoffs
Nano Banana 2 combines 0.5K through 4K output, 14 references, and ratios from 1:8 to 8:1. These capabilities are most useful when the brief, reference strategy, and output destination are decided before generation.
Model controls
Nano Banana 2 currently supports 0.5K, 1K, 2K, or 4K output; up to 14 references; 15 aspect ratios; 8 credits per generation.
Best-fit audience
Designed for growth teams, content operators, ecommerce sellers, and creators producing many format variants.
Core production strength
The central advantage is fast multimodal image work across an unusually wide range of formats, supported by 0.5K through 4K output, 14 references, and ratios from 1:8 to 8:1.
Reference workflow
Its practical reference workflow is to bring several visual references into one prompt, choose a delivery format, and compare fast variants before committing to a high-resolution result.
Output planning
Choose the delivery format and quality level before refining details so each generation has a clear purpose.
Know the limit
Extreme ratios are useful for layout exploration, but important subjects still need explicit placement instructions.
Choose a credit plan for model production
Use the same Hixoi credit balance for ad variations, product compositions, social assets, banners, and rapid concept testing. Start free, then move to a monthly or yearly plan when the workload becomes repeatable.
Free
Test prompts, references, and controls before choosing a paid production plan.
Included
- 20 credits each month
- Use credits for image generation on eligible Hixoi models
- A practical starting point for model evaluation
- Clear usage tracking across projects
- Standard support
Create an account to claim the starter credits.
Pro
A steady credit allowance for individual creators and small teams with recurring projects.
Included
- 1000 credits each month
- Use credits for image generation on eligible Hixoi models
- A predictable budget for repeatable production
- Clear usage tracking across projects
- Standard support
Choose this plan when the credit level matches your expected output volume.
Max
A larger credit budget for teams running frequent generations and parallel creative work.
Included
- 3000 credits each month
- Use credits for image generation on eligible Hixoi models
- A predictable budget for repeatable production
- More room for high-volume iteration
- Priority support
Choose this plan when the credit level matches your expected output volume.
Questions to answer before using this model
Use these answers to decide whether the model fits the brief, references, delivery format, and credit budget.
What is this model best used for?
This model is best used for ad variations, product compositions, social assets, banners, and rapid concept testing. It also works well for reference-heavy edits that must move quickly from source material to publishable options.
Who is this model designed for?
It is a practical fit for growth teams, content operators, ecommerce sellers, and creators producing many format variants. The workflow favors teams that can define the intended output before they begin iterating.
What controls are available?
The current Hixoi integration provides 0.5K, 1K, 2K, or 4K output; up to 14 references; 15 aspect ratios; 8 credits per generation. The generator shows only options supported by this model.
How should I prepare references?
Choose references that each communicate one useful property, such as subject, composition, color, material, or motion. Remove examples that contradict the main direction.
What should I test first?
Validate the core composition, subject, and format before spending credits on higher quality or longer output. Keep the first prompt concrete and change one variable per iteration.
What limitation should I consider?
Extreme ratios are useful for layout exploration, but important subjects still need explicit placement instructions.
Start a focused image workflow
This model is ready when your brief, references, and delivery format are clear. Begin with one controlled generation, review the result, and refine deliberately.