Nano Banana API

Image editing API for Gemini workflows

Use the Nano Banana API when your application needs prompt-based image generation, conversational editing, and repeatable visual workflows under one integration path.

Start with $1 credit.

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Nano Banana API snapshot

Image editing API
Generate and modify images through prompts
Conversational workflow
Refine outputs across multiple turns
Playground validation
Test prompts before API automation
Production controls
Log assets, costs, reviews, and retention
Abstract blue unified image pipeline showing generation, editing, and refinement stages merging into single output, clean tech aesthetic

One pipeline for generation and edits

Nano Banana API workflows reduce the need to stitch together separate generation, inpainting, background, and style tools. A product can let users generate an image, request a background change, refine lighting, and save the final asset in one workflow.

Google's Gemini image editing update explains the conversational editing direction, and Google DeepMind's Gemini Image page provides model-family context. For deeper model analysis, use the Nano Banana Review.

Structured blue conversational editing flow diagram showing multi-turn image refinement, technical infrastructure aesthetic

Test prompts, then automate

Start in the playground with the exact user prompts your app will send. When outputs are reliable, connect the Nano Banana API and track every generated asset with prompt, source image, user, model, output URL, and review status.

For high-value assets, route generated images through human review before publication. That review should cover product accuracy, brand marks, faces, rights, generated text, and sensitive content.

Nano Banana API workflows

1

Product images

Replace backgrounds, adjust lighting, and create variants

2

Social creatives

Generate platform-ready visuals from prompt templates

3

Image editing tools

Let users refine outputs with natural language

4

Campaign assets

Produce ad concepts and landing visuals at scale

5

Reference edits

Use source images to guide style or composition

6

Prompt libraries

Save reusable instructions for teams and customers

7

Approval queues

Review brand-sensitive assets before publishing

8

Model routing

Send drafts to Nano Banana and final assets to Pro when needed

API request shape

Use the API tab when Nano Banana needs to run inside your app. Keep prompts structured and log all generated outputs for review and cost control.

curl -X POST "https://api.openoctopus.com/v1/images/generations" \
  -H "Authorization: Bearer $OPENOCTOPUS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"openoctopus-nano-banana","prompt":"Create a square product lifestyle image with warm studio lighting."}'

For editing, include source image metadata, user intent, prompt, output URL, review status, and deletion policy.

Trust and source note

Google's Gemini image editing update documents improvements to prompt-based image editing. Google DeepMind Gemini Image provides model-family context. Use those sources for context, then validate the Nano Banana API on your own image workflows.

Nano Banana API FAQ

Send prompts or image-editing inputs through the API, receive image outputs, and route them into your app workflow.

Build with Nano Banana API

Start in the playground, then connect API access for repeatable image workflows with review, logging, and cost controls.

Start with $1 credit.