Nano Banana 2 and GPT Image 2 make different tradeoffs, and the useful choice depends on the shot. For AI influencer and UGC work, compare realism, reference edits, output size and how much prompt detail you want to provide.
GPT Image 2: detailed prompting for realism-focused tests
GPT Image 2 can be useful for realism-focused tests when you are willing to describe framing, light, lens feel and texture carefully. Compare its finish and available output sizes with the other model on your own reference; upscale only when your delivery needs it.
- Useful for: realism-focused comparisons, candid-feeling shots, and detailed scene language.
- Watch for: different native resolutions and a stronger dependence on specific prompt detail.
Nano Banana 2: reference edits and output-size options
Nano Banana 2 is useful for reference-driven edits and larger output sizes where that mode is available. Compare its finish and identity retention with GPT Image 2 on your own references; the balance can change with the prompt, source image and settings.
- Useful for: reference-driven edits, larger output sizes where supported, and quick same-character comparisons.
- Watch for: a more polished finish than some GPT Image 2 results, depending on the scene and settings.
A simple routing rule
Choose a starting model from the needs of the shot: prompt detail, reference editing, finish and output size. For a full set, test a few representative scenes on both models before mixing them for different roles.
The PROmpt library identifies the model associated with each pack. Use that label as context, then compare a prompt on the engine and reference you actually plan to use.
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