nano-banana-image

Installation
SKILL.md

NanoBanana Image Generation

Generate and edit AI images through AceDataCloud's NanoBanana (Gemini-based) API.

Setup: See authentication for token setup.

Quick Start

curl -X POST https://api.acedata.cloud/nano-banana/images \
  -H "Authorization: Bearer $ACEDATACLOUD_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"action": "generate", "prompt": "a watercolor painting of a French countryside village", "model": "nano-banana"}'

Async: See async task polling. Poll via POST /nano-banana/tasks with {"id": "..."}.

Models

Model Best For
nano-banana Standard image generation (default)
nano-banana-2 Improved quality, second generation
nano-banana-pro Highest quality, most detailed output

Workflows

1. Text-to-Image

POST /nano-banana/images
{
  "action": "generate",
  "prompt": "a photorealistic macro shot of morning dew on a spider web",
  "model": "nano-banana-pro",
  "aspect_ratio": "16:9",
  "resolution": "2K"
}

2. Image Editing

Edit existing images using natural language instructions — no mask needed. Pass source images via image_urls.

POST /nano-banana/images
{
  "action": "edit",
  "prompt": "change the background to a starry night sky",
  "image_urls": ["https://example.com/photo.jpg"],
  "model": "nano-banana"
}

Parameters

Parameter Values Description
action "generate", "edit" Operation mode
model "nano-banana", "nano-banana-2", "nano-banana-pro" Model to use
prompt string Image description or editing instruction
image_urls array of strings Source image URLs (required for edit action)
aspect_ratio "1:1", "3:2", "2:3", "16:9", "9:16", "4:3", "3:4" Output aspect ratio
resolution "1K", "2K", "4K" Output resolution (1K=1024px, 2K=2048px, 4K=4096px)
callback_url string Async callback URL; returns a task ID immediately

Gotchas

  • Editing does NOT require a mask — just describe the change in natural language
  • Editing uses the same /nano-banana/images endpoint with action: "edit" and image_urls array (not a separate /edit path)
  • nano-banana-2 is the second-generation model; nano-banana-pro offers the highest quality
  • Task polling uses id (not task_id) in the /nano-banana/tasks request body
  • Aspect ratio uses colon notation (e.g., "16:9") not pixel dimensions
  • The Gemini-based model excels at understanding complex, conversational editing instructions

MCP: pip install mcp-nano-banana | Hosted: https://nano-banana.mcp.acedata.cloud/mcp | See all MCP servers

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Installs
8
GitHub Stars
5
First Seen
Apr 6, 2026