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Nano Banana 2 Image Generator

该 Skill 提供 Python 路由脚本,读取本地 API 定义文件,通过 Media.io OpenAPI 调用 Nano Banana Pro(模型码 i2i-banana-2)进行文生图与图生图,支持参考图、比例与多图融合参数,并可轮询任务结果;需配置 API_KEY。

wondershare-boop
wondershare-boop
热度 46.57
最近更新 2026-05-11 17:33:24
分类:创作依赖:代码执行 / 读写文件 / 第三方 API应用场景:图像生成

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add mediaio-nano-banana-2-image-generator
Metadata
name
mediaio-nano-banana-pro-image-generator
description
Generate AI images using Nano Banana Pro via Media.io OpenAPI. State-of-the-art image quality with advanced reasoning, multi-image fusion, character consistency. Supports up to 4K resolution.
metadata
{"mediaio":{"emoji":"🎨","requires":{"env":["API_KEY"]}},"publisher":"Community Maintainer","source":"https://platform.media.io/docs/"}

MediaIO Nano Banana Pro Image Generator Skill

Overview

This skill provides access to Nano Banana Pro through the Media.io OpenAPI. Nano Banana Pro utilizes next-gen multimodal reasoning to generate images that perfectly align with nuanced conceptual descriptions, featuring state-of-the-art image quality with advanced reasoning, multi-image fusion, and character consistency.

Trigger Keywords

Use this skill when you hear:

  • "Nano Banana Pro", "Nano Banana Pro image generator"
  • "Generate image with Nano Banana Pro"
  • "Banana Pro AI image generation"

Requirements

Environment Variables

Variable Required Description
API_KEY Yes Media.io OpenAPI key, sent as X-API-KEY header. Apply at https://developer.media.io/.

API Details

Nano Banana Pro Image Generation

  • API Name: Nano Banana Pro
  • Model Code: i2i-banana-2
  • Endpoint: POST https://openapi.media.io/generation/banana/i2i-banana-2
  • Description: Utilizes next-gen multimodal reasoning to generate images that perfectly align with nuanced conceptual descriptions.

Key Features

  • State-of-the-art image quality
  • Advanced multimodal reasoning
  • Multi-image fusion
  • Character consistency
  • Up to 4K resolution support
  • Perfect alignment with nuanced conceptual descriptions

Request Parameters

Parameter Type Required Description
prompt string Yes Text description for image generation
image string No Reference image URL for image-to-image
ratio string No Image aspect ratio
fusion_strength string No Multi-image fusion strength

Common Response Structure

{
  "code": 0,
  "msg": "",
  "data": {
    "task_id": "..."
  },
  "trace_id": "..."
}

Quick Start

1) Install Dependency

pip install requests

2) Initialize Skill

import os
from scripts.skill_router import Skill

skill = Skill('scripts/c_api_doc_detail.json')
api_key = os.getenv('API_KEY', '')
if not api_key:
    raise RuntimeError('API_KEY is not set')

3) Configure Environment Variable API_KEY

Windows PowerShell:

$env:API_KEY="your-api-key"

macOS / Linux (bash/zsh):

export API_KEY="your-api-key"

Usage Examples (Python)

High-Quality Image Generation

import os
from scripts.skill_router import Skill

skill = Skill('scripts/c_api_doc_detail.json')
api_key = os.getenv('API_KEY', '')
if not api_key:
    raise RuntimeError('API_KEY is not set')

result = skill.invoke(
    'Nano Banana Pro',
    {
        'prompt': 'a serene mountain landscape at sunset, photorealistic, 4K quality, dramatic lighting',
        'ratio': '16:9'
    },
    api_key=api_key
)
print(result)  # Returns task_id when code=0

Multi-Image Fusion

import os
from scripts.skill_router import Skill

skill = Skill('scripts/c_api_doc_detail.json')
api_key = os.getenv('API_KEY', '')
if not api_key:
    raise RuntimeError('API_KEY is not set')

result = skill.invoke(
    'Nano Banana Pro',
    {
        'prompt': 'a futuristic cityscape combining classical and modern architecture',
        'image': 'https://example.com/reference-image.jpg',
        'fusion_strength': '0.7'
    },
    api_key=api_key
)
print(result)

Query Task Result

import os
import time
from scripts.skill_router import Skill

skill = Skill('scripts/c_api_doc_detail.json')
api_key = os.getenv('API_KEY', '')
if not api_key:
    raise RuntimeError('API_KEY is not set')

task_id = 'your-task-id'

for _ in range(24):
    r = skill.invoke('Task Result', {'task_id': task_id}, api_key=api_key)
    print(r)
    status = (r.get('data') or {}).get('status')
    if status in ('completed', 'failed', 'succeeded'):
        break
    time.sleep(5)

Task Status Reference

  • waiting: queued
  • processing: running
  • completed: completed successfully
  • failed: failed
  • timeout: timed out

Error Handling

Error Code Description
374004 Not authenticated. Apply for an APP KEY at https://developer.media.io/
490505 Insufficient credits. Recharge before invoking generation APIs

External Resources

Related Files

  • scripts/skill_router.py: core routing logic
  • scripts/c_api_doc_detail.json: API definitions