| name | nano-banana-image |
| description | Generate and edit AI images with NanoBanana (Gemini-based) via AceDataCloud API. Use when creating images from text prompts or editing existing images with text instructions. Supports nano-banana, nano-banana-2, nano-banana-pro and their :official variants. |
| license | Apache-2.0 |
| metadata | {"author":"acedatacloud","version":"1.0"} |
| compatibility | Requires ACEDATACLOUD_API_TOKEN in .env file (see _shared/authentication.md). Optionally pair with mcp-nano-banana for tool-use. |
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 |
nano-banana:official | Official channel variant of nano-banana |
nano-banana-2:official | Official channel variant of nano-banana-2 |
nano-banana-pro:official | Official channel variant of nano-banana-pro |
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", "nano-banana:official", "nano-banana-2:official", "nano-banana-pro:official" | 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
:official variants (e.g., nano-banana:official) route through the official channel
- 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://nanobanana.mcp.acedata.cloud/mcp | See all MCP servers