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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#!/usr/bin/env python3
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# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
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import torch.nn as nn
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def c2_xavier_fill(module: nn.Module):
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"""
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Initialize `module.weight` using the "XavierFill" implemented in Caffe2.
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Also initializes `module.bias` to 0.
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Args:
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module (torch.nn.Module): module to initialize.
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"""
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# Caffe2 implementation of XavierFill in fact
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# corresponds to kaiming_uniform_ in PyTorch
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nn.init.kaiming_uniform_(module.weight, a=1)
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if module.bias is not None:
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nn.init.constant_(module.bias, 0)
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def c2_msra_fill(module: nn.Module):
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"""
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Initialize `module.weight` using the "MSRAFill" implemented in Caffe2.
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Also initializes `module.bias` to 0.
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Args:
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module (torch.nn.Module): module to initialize.
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"""
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nn.init.kaiming_normal_(module.weight, mode="fan_out", nonlinearity="relu")
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if module.bias is not None:
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nn.init.constant_(module.bias, 0)
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