84 lines
3.2 KiB
Python
84 lines
3.2 KiB
Python
import base64
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import json
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import os
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from Config.Config import OBS_SERVER, OBS_PREFIX
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from JiMeng.Kit.JmCommon import JmCommon
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from JiMeng.Kit.JmErrorCode import JmErrorCode
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from Util.ObsUtil import ObsUploader
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class JmTxt2Img:
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action = "CVProcess"
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# V2.1
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req_key = "jimeng_high_aes_general_v21_L"
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# V3.0
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# req_key="jimeng_t2i_v30"
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@staticmethod
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def generate_image(prompt, save_img_path):
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"""生成图片"""
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# 创建请求体
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req = {
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"req_key": JmTxt2Img.req_key,
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"prompt": prompt
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}
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response_body = JmCommon.do_request("POST", {}, json.dumps(req).encode('utf-8'), JmTxt2Img.action)
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jo = json.loads(response_body)
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# 检查响应状态码
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code = jo.get("code")
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if not JmErrorCode.is_success(code):
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error_msg = JmErrorCode.get_message_by_code(code)
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print(f"生成图片失败: 错误码={code}, 错误信息={error_msg}")
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raise Exception(f"生成图片失败: {error_msg}")
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# 获取图片Base64数据
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img_base64 = jo.get("data", {}).get("binary_data_base64", [""])[0]
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# 确保目录存在
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os.makedirs(os.path.dirname(save_img_path), exist_ok=True)
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# 对 Base64 字符串进行解码并保存为文件
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try:
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# 注意：有些Base64字符串可能有前缀，需要去除
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if img_base64.startswith('data:image'):
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img_base64 = img_base64.split(',')[1]
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bytes_data = base64.b64decode(img_base64)
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with open(save_img_path, 'wb') as f:
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f.write(bytes_data)
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print(f"文件保存成功！文件位置: {save_img_path}")
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# 创建上传器实例
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uploader = ObsUploader()
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# 上传参数
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object_key = OBS_PREFIX + "/" + file_path
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# 执行上传
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success, result = uploader.upload_file(object_key, file_path)
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# 处理结果
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if success:
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logger.info(f'{file_path}上传成功!')
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# 获取上传文件的 URL
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file_url = f"https://{OBS_BUCKET}.{OBS_SERVER}/{object_key}"
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img_url_list.append(file_url)
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except Exception as e:
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print(f"保存图片失败: {str(e)}")
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raise Exception(f"保存图片失败: {str(e)}")
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@staticmethod
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def main():
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# 示例提示词
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prompt = "雨天街头，一位头戴黄色安全帽、身穿荧光黄安全背心与棕色外套、搭配蓝色牛仔裤和棕色工装靴的中国工人，背着一个中国小女孩。工人脖子上侧挂一个小熊玩偶包，拖住小女孩臀部的手同时挂着一袋小熊饼干。小女孩双手搂着工人的脖子。小女孩穿红色雨衣，戴红色雨衣帽。两个人露出微笑。背景是居民楼和树木，地面潮湿，氛围温馨。"
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# 保存图片路径
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save_image_path = r"D:\Text2Img.jpg"
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JmTxt2Img.generate_image(prompt, save_image_path)
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print(f"保存图片路径：{save_image_path}")
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if __name__ == "__main__":
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JmTxt2Img.main() |