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 importlib
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import torch
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from modules import shared
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def check_for_npu():
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if importlib.util.find_spec("torch_npu") is None:
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return False
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import torch_npu
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try:
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# Will raise a RuntimeError if no NPU is found
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_ = torch_npu.npu.device_count()
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return torch.npu.is_available()
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except RuntimeError:
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return False
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def get_npu_device_string():
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if shared.cmd_opts.device_id is not None:
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return f"npu:{shared.cmd_opts.device_id}"
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return "npu:0"
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def torch_npu_gc():
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with torch.npu.device(get_npu_device_string()):
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torch.npu.empty_cache()
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has_npu = check_for_npu()
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