[Banner Creation] Image Drawing Model Selection Guide
FIXFOLIO offers a variety of image drawing models with different production styles and characteristics. Choose the model that best matches the direction of the output you want.
🎨 Image Drawing Model Comparison
Previously provided NanoBanana 2 along with the model, a new model GPT Image 2 has been added.
Now you can directly choose a model to create banners according to the style of the result you want and the purpose of production. Please refer to the features of each model below and use them as appropriate for your situation.
(1) NanoBanana 2 (existing model)
Fast creation speed and reference-based style expressionis an image generation model with strengths in. It reflects the mood and style of the selected reference relatively faithfullyand is suitable for quickly generating multiple draftsin the direction you want. It also intuitively reflects revision requests and direction of productionso, it can be effectively used when detailed edits are needed or when you want to create stable results centered on references .
(2) GPT Image 2 (new model)
Product details and rich expressionis an image generation model with strengths in. It can more naturally and clearly express elements that were difficult to represent with existing models, such as small text or package copy. Also, rather than simply imitating reference images it excels at newly reinterpreting them to match the brand and product characteristics, making it suitable for creating more creative and polished advertising visuals.
(3) NanoBanana 2 VS GPT Image 2 comparison table
Example image
Recommended use
Fast production / reference-based production / detailed edits
Banner production where detail and rich expression are important
Result characteristics
Consistent and intuitive style centered on the reference
Rich and varied directional expression with a detailed and clear style
How references are reflected
Reflects the reference style and mood relatively faithfully
Reinterprets the reference to suit the product and situation
Text expression
Small text may be somewhat unnatural
Small text and package copy are expressed stably
How detailed edits are reflected
Reflects requests relatively directly and faithfully
Reflects requests while naturally reinterpreting them to fit the overall mood
Generation speed
Fast
Somewhat slow
🤔 Which model should I choose?
If you want to quickly implement the reference style NanoBanana 2, and if detail and creative direction are important GPT Image 2, we recommend
🚀 [NanoBanana 2] When you want to quickly implement the reference style
When you want to create something as similar as possible to the reference feel and style
When you want to quickly generate multiple drafts and check the direction
When you want to directly and faithfully reflect revision requests
🔎 [GPT Image 2] When detail and creative direction are important
When rich and more creative directional expression is needed
When expression of small text or package copy is important
When you want a result that is based on the reference but newly reinterpreted to fit the brand and product
Last updated