新增16个AI技能：包含图像生成、视频剪辑、数据分析、智能查询等功能模块
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hmo
350
.opencode/skills/image-service/scripts/text_to_image.py
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.opencode/skills/image-service/scripts/text_to_image.py
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#!/usr/bin/env python3
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"""
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文生图脚本 (Text-to-Image)
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使用 Lyra Flash API 根据中文文本描述生成图片
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支持参考图风格生成
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Author: 翟星人
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"""
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import httpx
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import base64
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import json
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import os
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from typing import Dict, Any, Optional, Union
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from pathlib import Path
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VALID_ASPECT_RATIOS = [
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"1:1", "2:3", "3:2", "3:4", "4:3", "4:5", "5:4", "9:16", "16:9", "21:9"
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]
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VALID_SIZES = [
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"1024x1024",
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"1536x1024", "1792x1024", "1344x768", "1248x832", "1184x864", "1152x896", "1536x672",
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"1024x1536", "1024x1792", "768x1344", "832x1248", "864x1184", "896x1152"
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]
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RATIO_TO_SIZE = {
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"1:1": "1024x1024",
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"2:3": "832x1248",
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"3:2": "1248x832",
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"3:4": "1024x1536",
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"4:3": "1536x1024",
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"4:5": "864x1184",
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"5:4": "1184x864",
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"9:16": "1024x1792",
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"16:9": "1792x1024",
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"21:9": "1536x672"
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}
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class TextToImageGenerator:
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"""文生图生成器"""
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def __init__(self, config: Optional[Dict[str, str]] = None):
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"""
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初始化生成器
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Args:
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config: 配置字典，包含 api_key, base_url, model
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如果不传则从环境变量或配置文件读取
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"""
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if config is None:
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config = self._load_config()
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self.api_key = config.get('api_key') or config.get('IMAGE_API_KEY')
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self.base_url = config.get('base_url') or config.get('IMAGE_API_BASE_URL')
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self.model = config.get('model') or config.get('IMAGE_MODEL') or 'lyra-flash-9'
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if not self.api_key or not self.base_url:
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raise ValueError("缺少必要的 API 配置：api_key 和 base_url")
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def _load_config(self) -> Dict[str, str]:
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"""从配置文件或环境变量加载配置"""
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config = {}
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config_path = Path(__file__).parent.parent / 'config' / 'settings.json'
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if config_path.exists():
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with open(config_path, 'r', encoding='utf-8') as f:
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settings = json.load(f)
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api_config = settings.get('image_api', {})
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config['api_key'] = api_config.get('key')
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config['base_url'] = api_config.get('base_url')
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config['model'] = api_config.get('model')
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config['api_key'] = os.getenv('IMAGE_API_KEY', config.get('api_key'))
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config['base_url'] = os.getenv('IMAGE_API_BASE_URL', config.get('base_url'))
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config['model'] = os.getenv('IMAGE_MODEL', config.get('model'))
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return config
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@staticmethod
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def image_to_base64(image_path: str, with_prefix: bool = True) -> str:
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"""将图片文件转换为 base64 编码"""
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path = Path(image_path)
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if not path.exists():
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raise FileNotFoundError(f"图片文件不存在: {image_path}")
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suffix = path.suffix.lower()
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mime_types = {
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'.jpg': 'image/jpeg',
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'.jpeg': 'image/jpeg',
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'.png': 'image/png',
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'.gif': 'image/gif',
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'.webp': 'image/webp'
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}
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mime_type = mime_types.get(suffix, 'image/png')
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with open(image_path, 'rb') as f:
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b64_str = base64.b64encode(f.read()).decode('utf-8')
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if with_prefix:
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return f"data:{mime_type};base64,{b64_str}"
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return b64_str
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def generate(
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self,
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prompt: str,
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size: Optional[str] = None,
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aspect_ratio: Optional[str] = None,
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image_size: Optional[str] = None,
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output_path: Optional[str] = None,
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response_format: str = "b64_json",
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ref_image: Optional[str] = None
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) -> Dict[str, Any]:
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"""
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生成图片
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Args:
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prompt: 中文图像描述提示词
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size: 图片尺寸 (如 1792x1024)，与 aspect_ratio 二选一
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aspect_ratio: 宽高比 (如 16:9, 3:4)，推荐使用
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image_size: 分辨率 (1K/2K/4K)，仅 gemini-3.0-pro-image-preview 支持
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output_path: 输出文件路径，如果提供则保存图片
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response_format: 响应格式，默认 b64_json
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ref_image: 参考图片路径，用于风格参考
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Returns:
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包含生成结果的字典
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"""
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if ref_image:
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return self._generate_with_reference(
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prompt=prompt,
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ref_image=ref_image,
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aspect_ratio=aspect_ratio,
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size=size,
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output_path=output_path,
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response_format=response_format
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)
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payload: Dict[str, Any] = {
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"model": self.model,
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"prompt": prompt,
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"response_format": response_format
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}
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# 确定尺寸：优先用 aspect_ratio 映射，其次用 size
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if aspect_ratio:
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payload["size"] = RATIO_TO_SIZE.get(aspect_ratio, "1024x1024")
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elif size:
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payload["size"] = size
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else:
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payload["size"] = "1792x1024" # 默认 16:9
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headers = {
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"Content-Type": "application/json",
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"Authorization": f"Bearer {self.api_key}"
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}
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try:
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with httpx.Client(timeout=180.0) as client:
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response = client.post(
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f"{self.base_url}/images/generations",
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headers=headers,
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json=payload
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)
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response.raise_for_status()
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result = response.json()
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if output_path and result.get("data"):
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b64_data = result["data"][0].get("b64_json")
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if b64_data:
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self._save_image(b64_data, output_path)
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result["saved_path"] = output_path
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return {
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"success": True,
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"data": result,
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"saved_path": output_path if output_path else None
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}
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except httpx.HTTPStatusError as e:
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return {
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"success": False,
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"error": f"HTTP 错误: {e.response.status_code}",
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"detail": str(e)
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}
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except Exception as e:
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return {
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"success": False,
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"error": "生成失败",
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"detail": str(e)
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}
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def _generate_with_reference(
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self,
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prompt: str,
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ref_image: str,
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aspect_ratio: Optional[str] = None,
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size: Optional[str] = None,
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output_path: Optional[str] = None,
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response_format: str = "b64_json"
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) -> Dict[str, Any]:
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"""
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参考图片风格生成新图
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Args:
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prompt: 新图内容描述
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ref_image: 参考图片路径
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aspect_ratio: 宽高比
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size: 尺寸
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output_path: 输出路径
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response_format: 响应格式
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"""
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image_b64 = self.image_to_base64(ref_image)
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enhanced_prompt = f"参考这张图片的背景风格、配色方案和视觉设计，保持完全一致的风格，生成新内容：{prompt}"
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# 确定尺寸：优先用 aspect_ratio 映射，其次用 size
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if size is None:
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size = RATIO_TO_SIZE.get(aspect_ratio, "1024x1792") if aspect_ratio else "1024x1792"
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payload = {
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"model": self.model,
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"prompt": enhanced_prompt,
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"image": image_b64,
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"size": size,
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"response_format": response_format
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}
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headers = {
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"Content-Type": "application/json",
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"Authorization": f"Bearer {self.api_key}"
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}
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try:
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with httpx.Client(timeout=180.0) as client:
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response = client.post(
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f"{self.base_url}/images/edits",
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headers=headers,
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json=payload
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)
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response.raise_for_status()
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result = response.json()
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if output_path and result.get("data"):
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b64_data = result["data"][0].get("b64_json")
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if b64_data:
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self._save_image(b64_data, output_path)
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result["saved_path"] = output_path
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return {
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"success": True,
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"data": result,
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"saved_path": output_path if output_path else None
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}
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except httpx.HTTPStatusError as e:
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return {
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"success": False,
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"error": f"HTTP 错误: {e.response.status_code}",
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"detail": str(e)
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}
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except Exception as e:
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return {
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"success": False,
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"error": "生成失败",
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"detail": str(e)
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}
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def _save_image(self, b64_data: str, output_path: str) -> None:
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"""保存 base64 图片到文件"""
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image_data = base64.b64decode(b64_data)
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Path(output_path).parent.mkdir(parents=True, exist_ok=True)
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with open(output_path, 'wb') as f:
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f.write(image_data)
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def main():
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"""命令行入口"""
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import argparse
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import time
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parser = argparse.ArgumentParser(
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description='文生图工具',
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formatter_class=argparse.RawDescriptionHelpFormatter,
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epilog=f'''
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尺寸参数说明:
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-r/--ratio 推荐使用，支持: {", ".join(VALID_ASPECT_RATIOS)}
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-s/--size 传统尺寸，支持: {", ".join(VALID_SIZES[:4])}...
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--resolution 分辨率(1K/2K/4K)，仅 gemini-3.0-pro-image-preview 支持
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--ref 参考图片路径，后续图片将参考首图风格生成
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示例:
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python text_to_image.py "描述" -r 3:4 # 竖版 3:4
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python text_to_image.py "描述" -r 9:16 -o out.png # 竖屏 9:16
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python text_to_image.py "描述" -s 1024x1792 # 传统尺寸
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# 长图场景：首图定调，后续参考首图风格
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python text_to_image.py "首屏内容" -r 3:4 -o 01.png
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python text_to_image.py "第二屏内容" -r 3:4 --ref 01.png -o 02.png
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'''
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)
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parser.add_argument('prompt', help='中文图像描述提示词')
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parser.add_argument('-o', '--output', help='输出文件路径（默认保存到当前目录）')
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parser.add_argument('-r', '--ratio', help=f'宽高比，推荐使用。可选: {", ".join(VALID_ASPECT_RATIOS)}')
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parser.add_argument('-s', '--size', help='图片尺寸 (如 1792x1024)')
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parser.add_argument('--resolution', help='分辨率 (1K/2K/4K)，仅部分模型支持')
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parser.add_argument('--ref', help='参考图片路径，用于风格参考（长图场景）')
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args = parser.parse_args()
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if args.ratio and args.ratio not in VALID_ASPECT_RATIOS:
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print(f"错误: 不支持的宽高比 '{args.ratio}'")
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print(f"支持的宽高比: {', '.join(VALID_ASPECT_RATIOS)}")
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return
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if args.size and args.size not in VALID_SIZES:
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print(f"警告: 尺寸 '{args.size}' 可能不被支持")
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print(f"推荐使用 -r/--ratio 参数指定宽高比")
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if args.ref and not os.path.exists(args.ref):
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print(f"错误: 参考图片不存在: {args.ref}")
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return
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output_path = args.output
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if not output_path:
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timestamp = time.strftime("%Y%m%d_%H%M%S")
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output_path = f"generated_{timestamp}.png"
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generator = TextToImageGenerator()
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result = generator.generate(
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prompt=args.prompt,
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size=args.size,
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aspect_ratio=args.ratio,
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image_size=args.resolution,
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output_path=output_path,
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ref_image=args.ref
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)
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if result["success"]:
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print(f"生成成功！")
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if result.get("saved_path"):
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print(f"图片已保存到: {result['saved_path']}")
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else:
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print(f"生成失败: {result['error']}")
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print(f"详情: {result.get('detail', 'N/A')}")
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if __name__ == "__main__":
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main()
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