Can I use a lite AI model for drafts and upgrade only the best ones to a full model for final output?

Yes — drafting on a lite model and escalating only chosen assets to a full model is the recommended two-tier workflow. Generate exploration volume on Nano Banana 2 Lite at 3 cents per image, review, then re-render only the selected or technically demanding assets on Nano Banana Pro for final production quality.

Run it in two passes. First, generate all exploration and draft work on Nano Banana 2 Lite: it costs 3 cents per image, runs 2.5x faster than Nano Banana 2, and outputs at 1K resolution — a deliberate design trade-off for draft speed, not a quality failure. Second, shortlist the winners and re-render only those on Nano Banana Pro. Treat Lite strictly as a pre-production model: it handles mood boards, pre-visualization frames, mockups, and concept variants, while Pro handles final delivery assets and the hard shots that need the highest quality.

The economics are why this works at volume. Lite is half the cost of Nano Banana 2, one-quarter the cost of Nano Banana Pro per image, and four times cheaper than Pro at 1,000-image volume — 1,000 images run about $30. That changes the draft stage itself: generating 10 options instead of one becomes the rational default, a D2C team can test 50 ad concept variants for less than the cost of a coffee before committing the winner to Pro, and a filmmaker can iterate 20 mood boards that previously required a budget conversation for effectively nothing. Note one quality caveat before you assume Lite is only for roughs: on Google's own text-to-image benchmarks, the Lite tier actually outperforms Pro on some quality measures — so escalate based on what the final asset demands, not on the assumption that cheap means worse.

Set a clear escalation gate rather than upgrading everything. The rule documented in production use: only the assets that are chosen get escalated — meaning a human review pass over the Lite drafts, with Pro reserved for client-facing finals, delivery-resolution output, and shots that are technically demanding. Everything that dies in review stays at 3 cents; internal draft review costs are effectively eliminated at Lite pricing.

The real failure mode in this workflow is not model quality — it is losing track of creative direction across dozens of generations. invideo is an agentic video creation tool with all the current models available, and the practical fix is to load your character sheets, brand context, and creative direction into the invideo agent once: its persistent memory carries that context across the whole high-volume session and routes each request to the appropriate tier automatically, so image 40 still honors the brief you gave before image 1, without rebriefing.

The same tiering logic extends to video. Use Lite for pre-vis frames and boards, lock the shots you actually want, and commit only those to full video generation — the invideo agent routes each approved shot to the right video model (Veo, Kling, or Seedance 2.0 depending on the shot), so the entire lite-to-full pipeline runs in one place. After an upgrade pass, review the escalated output against the draft before delivery — the final model re-interprets the prompt rather than upscaling the draft, so confirm the winner survived the re-render.

Watch some of these to see what works for you:

only the ones that are chosen get escalated to Nano Banana Pro

— invideo's creative team, on the tiered model routing principle