Nano Banana 2 (Google): 10-second anime generation with character consistency (komiko.app)

Nano Banana 2 (aka Nano Banana Pro / GEMPIX 2) is a new anime-focused image generator built on Google's Gemini 2.5 Flash Image architecture that promises native 2K outputs (with 4K upscaling), sub‑10‑second generation times, and “revolutionary” character consistency across unlimited scenes. It uses an intelligent multi‑step generation pipeline and a claimed visual‑memory/identity mechanism to keep facial features, hairstyles, outfits and expressions consistent across multiple images. The tool targets manga artists, game designers and social creators with genre‑aware styling (shounen, shoujo, chibi, etc.), free access, and commercial usage rights out of the box. For the AI/ML community this matters because it bundles low latency, high resolution, and identity preservation in a consumer workflow — a combination that has been hard to achieve. If the advertised “visual memory” and multi‑pass conditioning are effective, they point toward practical approaches for identity embeddings or reference‑conditioned refinements that can be integrated into animation and sequential imagery pipelines. That could reduce manual continuity work (character sheets, panels, turnarounds) and push research on stable identity conditioning, long‑range consistency, and evaluator metrics for visual coherence. Free availability and commercial licensing also accelerate real‑world adoption, while raising follow‑ups around dataset provenance, copyright, and style attribution in production use.