Nano Banana 图像生成
使用 Gemini Nano Banana 多模态模型生成和编辑图像
什么是 Nano Banana
Nano Banana 是 Gemini 的多模态图像生成能力，使用与文本模型相同的generateContent 端点。
| 模型 | Model ID | 特点 |
|---|---|---|
| Nano Banana | gemini-2.5-flash-image | 速度优先，适合高吞吐任务 |
| Nano Banana Pro | gemini-3-pro-image-preview | 专业制作、高级推理、高保真文本渲染、支持 4K 分辨率 |
端点
与文本模型相同：| 类型 | 端点 |
|---|---|
| 非流式 | POST /v1beta/models/{model}:generateContent |
| 流式 | POST /v1beta/models/{model}:streamGenerateContent |
文字生图
- cURL
- Python
- Node.js
curl -s -X POST \
"https://api.portix.ai/v1beta/models/gemini-3-pro-image-preview:streamGenerateContent" \
-H "x-goog-api-key: $YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d @- << 'EOF'
{
"contents": [{
"role": "user",
"parts": [
{"text": "Create a picture of a nano banana dish in a fancy restaurant with a Gemini theme"}
]
}]
}
EOF
from google import genai
from PIL import Image
client = genai.Client(
api_key=os.getenv('YOUR_API_KEY'),
http_options={'base_url': 'https://api.portix.ai'}
)
response = client.models.generate_content(
model="gemini-2.5-flash-image",
contents=["Create a picture of a nano banana dish in a fancy restaurant with a Gemini theme"],
)
for part in response.parts:
if part.text is not None:
print(part.text)
elif part.inline_data is not None:
image = part.as_image()
image.save("generated_image.png")
import { GoogleGenAI } from "@google/genai";
import * as fs from "node:fs";
const ai = new GoogleGenAI({
apiKey: process.env.YOUR_API_KEY,
httpOptions: { baseUrl: 'https://api.portix.ai' }
});
const response = await ai.models.generateContent({
model: "gemini-2.5-flash-image",
contents: "Create a picture of a nano banana dish in a fancy restaurant with a Gemini theme",
});
for (const part of response.candidates[0].content.parts) {
if (part.text) {
console.log(part.text);
} else if (part.inlineData) {
const buffer = Buffer.from(part.inlineData.data, "base64");
fs.writeFileSync("generated_image.png", buffer);
}
}
图生图（垫图编辑）
上传参考图像，结合文字提示生成新图像：- cURL
- Python
- Node.js
IMG_BASE64=$(base64 -w0 /path/to/cat_image.jpeg)
curl -s -X POST \
"https://api.portix.ai/v1beta/models/gemini-3-pro-image-preview:streamGenerateContent" \
-H "x-goog-api-key: $YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d @- << EOF
{
"contents": [{
"role": "user",
"parts": [
{"inlineData": {"mimeType": "image/jpeg", "data": "$IMG_BASE64"}},
{"text": "Create a picture of my cat eating a nano-banana in a fancy restaurant under the Gemini constellation"}
]
}],
"generationConfig": {
"imageConfig": {
"aspectRatio": "16:9"
}
}
}
EOF
from google import genai
from PIL import Image
client = genai.Client(
api_key=os.getenv('YOUR_API_KEY'),
http_options={'base_url': 'https://api.portix.ai'}
)
image = Image.open('/path/to/cat_image.png')
response = client.models.generate_content(
model="gemini-2.5-flash-image",
contents=[
"Create a picture of my cat eating a nano-banana in a fancy restaurant under the Gemini constellation",
image
],
)
for part in response.parts:
if part.text is not None:
print(part.text)
elif part.inline_data is not None:
image = part.as_image()
image.save("edited_image.png")
import { GoogleGenAI } from "@google/genai";
import * as fs from "node:fs";
const ai = new GoogleGenAI({
apiKey: process.env.YOUR_API_KEY,
httpOptions: { baseUrl: 'https://api.portix.ai' }
});
const imageData = fs.readFileSync("cat_image.png");
const base64Image = imageData.toString("base64");
const response = await ai.models.generateContent({
model: "gemini-2.5-flash-image",
contents: [
{ text: "Create a picture of my cat eating a nano-banana in a fancy restaurant under the Gemini constellation" },
{ inlineData: { mimeType: "image/png", data: base64Image } }
],
});
for (const part of response.candidates[0].content.parts) {
if (part.text) {
console.log(part.text);
} else if (part.inlineData) {
const buffer = Buffer.from(part.inlineData.data, "base64");
fs.writeFileSync("edited_image.png", buffer);
}
}
响应格式
图像生成的响应是多模态的，包含文本和 base64 编码的图像数据：{
"candidates": [{
"content": {
"parts": [
{ "text": "Here is your generated image..." },
{
"inlineData": {
"mimeType": "image/png",
"data": "<BASE64_IMAGE_DATA>"
}
}
]
}
}]
}
更多功能
Nano Banana 官方文档
支持多轮编辑、4K 分辨率、多图合成等高级功能