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