Nano-banana 2 is the stack's image editor: where GPT-image-2 generates new shots, Nano-banana 2 makes targeted changes to existing ones — swap a distracting background, clean up a product page image, fix composition for vertical framing — with the product itself preserved. Each edit is a small credit cost on the same pay-per-use balance (no subscription, no expiry), and edited images feed directly into the ecommerce pipeline as input frames. The editing stage is the cheapest place to fix visual problems: one credit-cheap edit beats regenerating an entire video because the source image had a cluttered background.
Typical jobs
- Background replacement: lifestyle context or clean studio white
- Removing clutter from marketplace-style product photos
- Recomposition for 9:16 without destructive cropping
- Color/surface cleanup so the product reads correctly at feed size
Prompt pattern
Name what stays and what changes: "keep the sneaker exactly as is, replace the background with warm morning light on a wooden floor, soft shadows." The preservation instruction is what keeps the product honest — same discipline as v4v's video guardrails.
Cost
| Pack | Credits | Price |
|---|---|---|
| Starter | 1,000 | $7 |
| Standard | 5,100 | $35 |
| Pro | 10,500 | $70 |
Edits cost a small fraction of a video generation — iterate at this stage.
Paste a product link. The brief builds itself.
Generate product videos, UGC-style ads and hooks in about 5 minutes.
Try v4vFrom $7 · no subscription, ever · credits never expire
FAQs
When Nano-banana 2 vs GPT-image-2?
Editing an existing image → Nano-banana 2. Generating a new composition → GPT-image-2.
Does the edited image keep my real product accurate?
That's the job — targeted edits around a preserved product. Always review before feeding to video; accuracy on your own product is on you.
Facts checked July 16, 2026. Competitor claims from public pricing pages; verify before relying on them.