Nano Banana 2 supports character turnarounds, realism traits, and composition-locked rerenders
Shared Nano Banana 2 workflows now cover turnaround sheets, distinctive facial traits, and photoreal rerenders that keep the framing of a reference image. Use one prompt grammar for concept art, editorial portraits, and animation prep.

TL;DR
- Shared Nano Banana 2 workflows are converging on three practical uses: character turnarounds, realism-first portrait prompting, and photoreal rerenders that keep the source framing, according to turnaround workflow, realism traits, and Vice City rerender.
- The turnaround format is already being used for style transfer and scene assembly: Ghibli Office demo shows characters built from turnaround sheets, then combined into a consistent multi-character office shot.
- Prompting is getting more template-driven. A reusable ecosystem prompt turns one structure into miniature product-shot worlds, while night flash pack points to packaged look prompts rather than one-off experiments.
- For image-to-image work, the clearest rule is preservation: rerender prompt explicitly locks composition, camera angle, palette, and subject placement while swapping game-like rendering for photoreal materials and lighting.
What prompt patterns are emerging?
The strongest Nano Banana 2 pattern is structured prompting rather than vague style words. In the turnaround post, the recipe is to “extract” a character from one image using a character-turnaround format, which turns a scene reference into front, side, back, and close-up views that are useful for animation prep, concept art handoff, and repeatable character design. A related prompt library suggests this has already become a reusable prompting category rather than a one-off trick.
Other creators are doing the same thing with scene templates. Glenn Has A Beard shared a fill-in-the-blanks prompt for a glass container holding a miniature ecosystem, with variables for container type, ecosystem, lighting, and color spill; the outputs read like controlled macro product photography rather than open-ended image generation. On the portrait side, ai_artworkgen's trait prompts show that specific physical details such as vitiligo, gap teeth, dimples, cleft palate, or facial scars can steer the model toward more distinctive faces instead of default beauty-retouch sameness.
What are creators making with those patterns?
The most production-ready demo is the rerender workflow from Allar Haltsonen, who takes reference images into Nano Banana 2 and asks for a photoreal photograph while preserving exact composition, perspective, and the original pink-purple-teal Vice City palette. The accompanying prompt text is unusually specific about camera package, material realism, neon light spill, wet pavement reflections, subtle film grain, and what not to change.
That same consistency shows up in stylized work. ProperPrompter's demo uses turnaround sheets to build Ghibli-style versions of Office characters and then place them together in a coherent Dunder Mifflin scene, which is closer to character pipeline thinking than simple fan-art prompting. A lighter-weight version of that idea appears in the night flash set, where the value is a prebuilt photographic look creators can apply quickly inside Leonardo rather than rewriting lighting language from scratch each time.