Gemini Nano Banana
/install gemini-nano-banana
OneKey Gateway
Use One Access Key to connect to various commercial APIs. Please visit the OneKey Gateway Keys and read the docs OneKey MCP Router Doc and OneKey Gateway Doc.
gemini Skill
Use the OneKey Gateway to access tools for this server via a unified access key.
Quick Start
Set your OneKey access key:
export DEEPNLP_ONEKEY_ROUTER_ACCESS=YOUR_API_KEY
Common settings:
unique_id:gemini/geminiapi_id: one of the tools listed below
Tools
generate_image_gemini
Generates an image using the Gemini Image API. Supported Models (aliases are internal): The model parameter allows selection between available image generation models. - "gemini-2.5-flash-image" (recommended default for stable, fast response). - "gemini-3-pro-image-preview". - "gemini-3-flash"
Aliases for these models are 'nano-banana 2.5' and 'nano-banana 3 Pro' respectively.
Please use 'gemini-2.5-flash-image' unless the user specifically requests the Gemini 3 model.
Args:
model: The image generation model to use (see supported models above). Defaults to "gemini-2.5-flash-image". Supports: 'gemini-3-flash', 'gemini-3-pro-image-preview', 'gemini-2.5-flash-image'
prompt: A detailed text description for the image to be generated.
image_name: The filename for the output image, can be a relative path. Defaults to "gemini_output_images.png".
output_folder: The optional absolute folder path provided by the user where the image will be saved. Do not use default server locations.
aspect_ratio: The aspect ratio of the generated image (e.g., '16:9', '1:1', '4:3'). Defaults to '16:9'.
image_size: The size/resolution of the generated image (e.g., '1K', '2K', '4K'). Defaults to '1K'.
Return:
Dict: Result dictionary containing image path, message, and success status.
output_result["image_path"]: str
output_result["image_url"]: str
output_result["message"]: str
output_result["success"]: bool
Parameters:
model(string, optional):prompt(string, optional):image_name(string, optional):output_folder(object, optional):aspect_ratio(string, optional):image_size(string, optional):
generate_image_nano_banana
Generate Image With Nano Banana
Args:
model: The image generation model to use. Defaults to "gemini-2.5-flash-image". Supported Models such as follows Google Gemini Doc, such as 'gemini-3-flash', "gemini-3-pro-image-preview", "gemini-2.5-flash-image", note that nano-banana is the alias name of the Gemini Image Model. Nano banana 3 Pro refers to Gemini 3 pro preview, and Nono Banana 2.5 refers to Gemini 2.5. Unless specified by user to use Gemini 3 model preview, general 'Neno Banana' image models, please use 'gemini-2.5-flash-image' for more stable and fast response.
prompt: A detailed text description for the image to be generated.
image_name: The filename for the output image, can be a relative path, such as "./new_gemini_image.png", etc. Defaults to "gemini_output_images.png".
output_folder: The optional absolute folder path provided by the user where the image will be saved. Do not use default server locations.
aspect_ratio: The aspect ratio of the generated image (e.g., '16:9', '1:1', '4:3'), defaults to '16:9'.
image_size: The size/resolution of the generated image (e.g., '1K', '2K', '4K'), defaults to '1K'.
Return:
Dict: output_result is the result dict of MCP returned
output_result["image_path"] = full_path: str
output_result["message"] = output_message: str
output_result["success"] = success: bool
Parameters:
model(string, optional):prompt(string, optional):image_name(string, optional):output_folder(object, optional):aspect_ratio(string, optional):image_size(string, optional):
Usage
CLI
generate_image_gemini
npx onekey agent gemini-nano-banana/gemini-nano-banana generate_image_gemini '{"model": "gemini-2.5-flash-image", "prompt": "sunrise over mountains", "aspect_ratio": "16:9", "image_size": "1K"}'
generate_image_nano_banana
npx onekey agent gemini-nano-banana/gemini-nano-banana generate_image_nano_banana '{"model": "gemini-2.5-flash-image", "prompt": "robot reading book", "aspect_ratio": "16:9", "image_size": "1K"}'
generate_image_nano_banana_with_reference
npx onekey agent gemini-nano-banana/gemini-nano-banana generate_image_nano_banana_with_reference '{"model": "gemini-3-pro-image-preview", "prompt": "winter coat style", "images": ["https://avatars.githubusercontent.com/u/242328252"], "aspect_ratio": "1:1"}'
ocr_extract_text_from_image
npx onekey agent gemini-nano-banana/gemini-nano-banana ocr_extract_text_from_image '{"images": ["https://avatars.githubusercontent.com/u/242328252"], "model": "gemini-3-flash-preview"}'
list_items_from_image
npx onekey agent gemini-nano-banana/gemini-nano-banana list_items_from_image '{"images": ["https://avatars.githubusercontent.com/u/242328252"], "model": "gemini-3-flash-preview", "output_json": true}'
Scripts
Each tool has a dedicated script in this folder:
skills/gemini/scripts/generate_image_gemini.pyskills/gemini/scripts/generate_image_nano_banana.py
Example
python3 scripts/\x3Ctool_name>.py --data '{"key": "value"}'
Related DeepNLP OneKey Gateway Documents
AI Agent Marketplace
Skills Marketplace
AI Agent A2Z Deployment
PH AI Agent A2Z Infra
GitHub AI Agent Marketplace
Dependencies
CLI Dependency
Install onekey-gateway from npm
npm install @aiagenta2z/onekey-gateway
Script Dependency
Install the required Python package before running any scripts.
pip install ai-agent-marketplace
Alternatively, install dependencies from the requirements file:
pip install -r requirements.txt
If the package is already installed, skip installation.
Agent rule
Before executing command lines or running any script in the scripts/ directory, ensure the dependencies are installed.
Use the onekey CLI as the preferred method to run the skills.
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install gemini-nano-banana - 安装完成后,直接呼叫该 Skill 的名称或使用
/gemini-nano-banana触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
Gemini Nano Banana 是什么?
Auto-generated skill for gemini tools via OneKey Gateway. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 211 次。
如何安装 Gemini Nano Banana?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install gemini-nano-banana」即可一键安装,无需额外配置。
Gemini Nano Banana 是免费的吗?
是的,Gemini Nano Banana 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Gemini Nano Banana 支持哪些平台?
Gemini Nano Banana 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 Gemini Nano Banana?
由 AI-Hub-Admin(@ai-hub-admin)开发并维护,当前版本 v0.1.4。