初始化换发型项目:3个微服务代码 + 部署脚本
包含: - hair_service_sd: 换发型/换发色算法服务 (端口 8801) - photo_service: LoRA 训练调度服务 (端口 32678) - stable-diffusion-webui: SD WebUI 推理服务 (端口 57860) - kohya_ss_home: 训练环境代码 - meidaojia: 监控测试脚本 - setup.sh: 一键部署脚本 (conda环境恢复 + 配置生成 + 完整性检查) - start_all_services.sh: 启动3个服务 - configure.ini.template: 路径模板化 (BASE_DIR自动推导) - conda_envs/py310.yml: py310 环境定义 大文件 (weights/, models/, data/, conda_envs/*.tar.gz 等) 通过 .gitignore 排除, 由网盘单独上传。
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import ngrok
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# Connect to ngrok for ingress
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def connect(token, port, options):
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account = None
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if token is None:
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token = 'None'
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else:
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if ':' in token:
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# token = authtoken:username:password
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token, username, password = token.split(':', 2)
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account = f"{username}:{password}"
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# For all options see: https://github.com/ngrok/ngrok-py/blob/main/examples/ngrok-connect-full.py
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if not options.get('authtoken_from_env'):
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options['authtoken'] = token
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if account:
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options['basic_auth'] = account
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if not options.get('session_metadata'):
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options['session_metadata'] = 'stable-diffusion-webui'
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try:
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public_url = ngrok.connect(f"127.0.0.1:{port}", **options).url()
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except Exception as e:
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print(f'Invalid ngrok authtoken? ngrok connection aborted due to: {e}\n'
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f'Your token: {token}, get the right one on https://dashboard.ngrok.com/get-started/your-authtoken')
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else:
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print(f'ngrok connected to localhost:{port}! URL: {public_url}\n'
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'You can use this link after the launch is complete.')
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