Gemini Image 图像生成（Nano Banana 系列）

import requests
import base64

# ========== 配置 ==========
API_KEY = "sk-YOUR_API_KEY"

# Nano Banana 2 (支持 4K)
API_URL = "https://api.laozhang.ai/v1beta/models/gemini-3-pro-image-preview:generateContent"
PROMPT = "一只可爱的橘猫"
ASPECT_RATIO = "1:1"
IMAGE_SIZE = "2K"  # Nano Banana 2 支持: 1K, 2K, 4K

# Nano Banana (固定 1K) - 取消注释以使用
# API_URL = "https://api.laozhang.ai/v1beta/models/gemini-2.5-flash-image:generateContent"
# PROMPT = "一只可爱的橘猫"
# ASPECT_RATIO = "1:1"
# IMAGE_SIZE = None
# ============================

headers = {"Authorization": f"Bearer {API_KEY}", "Content-Type": "application/json"}

payload = {
    "contents": [{"parts": [{"text": PROMPT}]}],
    "generationConfig": {
        "responseModalities": ["IMAGE"],
        "imageConfig": {"aspectRatio": ASPECT_RATIO}
    }
}

# 如果是 Nano Banana 2，添加分辨率参数
if IMAGE_SIZE:
    payload["generationConfig"]["imageConfig"]["imageSize"] = IMAGE_SIZE

response = requests.post(API_URL, headers=headers, json=payload, timeout=180)
result = response.json()

# 保存图片
image_data = result["candidates"][0]["content"]["parts"][0]["inlineData"]["data"]
with open("output.png", "wb") as f:
    f.write(base64.b64decode(image_data))

print("✅ 图片已保存: output.png")

import requests
import base64

# ========== 配置 ==========
API_KEY = "sk-YOUR_API_KEY"
API_URL = "https://api.laozhang.ai/v1beta/models/gemini-3-pro-image-preview:generateContent"

INPUT_IMAGE = "output.png"  # 使用示例1生成的图片
PROMPT = "把这张图变成梵高星空风格的油画"
ASPECT_RATIO = "1:1"
IMAGE_SIZE = "2K"  # Nano Banana 2: 1K, 2K, 4K
# ============================

# 读取并编码图片
with open(INPUT_IMAGE, "rb") as f:
    image_b64 = base64.b64encode(f.read()).decode("utf-8")

headers = {"Authorization": f"Bearer {API_KEY}", "Content-Type": "application/json"}

payload = {
    "contents": [{
        "parts": [
            {"text": PROMPT},
            {"inline_data": {"mime_type": "image/jpeg", "data": image_b64}}
        ]
    }],
    "generationConfig": {
        "responseModalities": ["IMAGE"],
        "imageConfig": {
            "aspectRatio": ASPECT_RATIO,
            "imageSize": IMAGE_SIZE
        }
    }
}

response = requests.post(API_URL, headers=headers, json=payload, timeout=180)
result = response.json()

# 保存图片
output_data = result["candidates"][0]["content"]["parts"][0]["inlineData"]["data"]
with open("output_styled.png", "wb") as f:
    f.write(base64.b64decode(output_data))

print("✅ 图片已保存: output_styled.png")

import requests
import base64

# ========== 配置 ==========
API_KEY = "sk-YOUR_API_KEY"
API_URL = "https://api.laozhang.ai/v1beta/models/gemini-3-pro-image-preview:generateContent"

# 使用前面生成的两张图（示例1和示例2的输出）
IMAGES = ["output.png", "output_styled.png"]
PROMPT = "将这两张图融合成一个艺术作品"
ASPECT_RATIO = "16:9"
IMAGE_SIZE = "2K"  # Nano Banana 2: 1K, 2K, 4K
# ============================

# 构建 parts: 文本 + 多张图片
parts = [{"text": PROMPT}]

for img_path in IMAGES:
    with open(img_path, "rb") as f:
        img_b64 = base64.b64encode(f.read()).decode("utf-8")
    parts.append({"inline_data": {"mime_type": "image/png", "data": img_b64}})

headers = {"Authorization": f"Bearer {API_KEY}", "Content-Type": "application/json"}

            payload = {
    "contents": [{"parts": parts}],
    "generationConfig": {
        "responseModalities": ["IMAGE"],
        "imageConfig": {
            "aspectRatio": ASPECT_RATIO,
            "imageSize": IMAGE_SIZE
        }
    }
}

response = requests.post(API_URL, headers=headers, json=payload, timeout=180)
result = response.json()

# 保存图片
output_data = result["candidates"][0]["content"]["parts"][0]["inlineData"]["data"]
with open("output_mixed.png", "wb") as f:
    f.write(base64.b64decode(output_data))

print("✅ 图片已保存: output_mixed.png")

#!/bin/bash

# ============================================================
# Gemini 图片生成工具 - Bash/Curl 版本
# 支持 Nano Banana (稳定版) 和 Nano Banana 2 (预览版，支持4K)
# ============================================================

# ========== 配置区 ==========
# 1. 设置你的 API 密钥
API_KEY="sk-YOUR_API_KEY"

# 2. 选择模型和分辨率
# 方案1: Nano Banana 2 (预览版) - 支持 4K
MODEL="nano_banana2"
API_URL="https://api.laozhang.ai/v1beta/models/gemini-3-pro-image-preview:generateContent"
PROMPT="A futuristic cyberpunk city at night, neon lights, flying cars, highly detailed, 4k"
ASPECT_RATIO="16:9"
IMAGE_SIZE="4K"  # 1K, 2K, 4K

# 方案2: Nano Banana (稳定版) - 固定 1K
# MODEL="nano_banana"
# API_URL="https://api.laozhang.ai/v1beta/models/gemini-2.5-flash-image:generateContent"
# PROMPT="a beautiful sunset over mountains"
# ASPECT_RATIO="16:9"
# IMAGE_SIZE=""  # 稳定版不支持此参数，留空

# 3. 设置输出文件名
OUTPUT_FILE="gemini_${IMAGE_SIZE}_$(date +%Y%m%d_%H%M%S).png"
# ============================

# 检查依赖
if ! command -v jq &> /dev/null; then
    echo "❌ 错误: 需要安装 jq 工具"
    echo ""
    echo "安装方法:"
    echo "  macOS:   brew install jq"
    echo "  Ubuntu:  sudo apt-get install jq"
    echo "  CentOS:  sudo yum install jq"
    echo ""
    exit 1
fi

echo "============================================================"
echo "Gemini 图片生成工具"
echo "============================================================"
echo "⏰ 开始时间: $(date '+%Y-%m-%d %H:%M:%S')"
echo "============================================================"
echo "🚀 开始生成图片..."
echo "📝 提示词: ${PROMPT}"
echo "📐 纵横比: ${ASPECT_RATIO}"
echo "📡 发送请求到 Gemini API..."

# 构建 JSON 请求
if [ -n "$IMAGE_SIZE" ]; then
  # 包含分辨率参数（仅 Nano Banana 2）
  REQUEST_JSON=$(jq -n \
    --arg prompt "$PROMPT" \
    --arg ratio "$ASPECT_RATIO" \
    --arg size "$IMAGE_SIZE" \
    '{
      contents: [{
        parts: [{text: $prompt}]
      }],
      generationConfig: {
        responseModalities: ["IMAGE"],
        imageConfig: {
          aspectRatio: $ratio,
          imageSize: $size
        }
      }
    }')
  echo "🖼️  分辨率: ${IMAGE_SIZE}"
else
  # 不包含分辨率参数（Nano Banana）
REQUEST_JSON=$(jq -n \
  --arg prompt "$PROMPT" \
  --arg ratio "$ASPECT_RATIO" \
  '{
    contents: [{
      parts: [{text: $prompt}]
    }],
    generationConfig: {
      responseModalities: ["IMAGE"],
      imageConfig: {
        aspectRatio: $ratio
      }
    }
  }')
  echo "🖼️  分辨率: 1K (固定)"
fi

# 发送请求
RESPONSE=$(curl -s -X POST "${API_URL}" \
  -H "Authorization: Bearer ${API_KEY}" \
  -H "Content-Type: application/json" \
  -d "${REQUEST_JSON}")

# 检查错误
if echo "${RESPONSE}" | jq -e '.error' &> /dev/null; then
    echo "❌ 生成失败"
    echo "💥 错误信息:"
    echo "${RESPONSE}" | jq -r '.error.message // .error'
    echo ""
    echo "建议检查:"
    echo "  1. API 密钥是否正确"
    echo "  2. 网络连接是否正常"
    echo "  3. 提示词是否合理"
    exit 1
fi

# 提取图片数据
echo "💾 正在保存图片..."
IMAGE_DATA=$(echo "${RESPONSE}" | jq -r '.candidates[0].content.parts[0].inlineData.data' 2>/dev/null)

if [ -z "$IMAGE_DATA" ] || [ "$IMAGE_DATA" = "null" ]; then
    echo "❌ 未找到图片数据"
    echo "📋 响应内容:"
    echo "${RESPONSE}" | jq '.' 2>/dev/null || echo "${RESPONSE}"
    exit 1
fi

# 解码并保存图片
echo "${IMAGE_DATA}" | base64 --decode > "${OUTPUT_FILE}"

# 检查结果
if [ -f "${OUTPUT_FILE}" ]; then
    FILE_SIZE=$(du -h "${OUTPUT_FILE}" | cut -f1)
    echo "✅ 图片已保存: ${OUTPUT_FILE}"
    echo "📊 文件大小: ${FILE_SIZE}"
    echo ""
    echo "============================================================"
    echo "🎉 生成成功！"
    echo "⏰ 结束时间: $(date '+%Y-%m-%d %H:%M:%S')"
    echo "============================================================"
else
    echo "❌ 图片保存失败"
    exit 1
fi