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。
26 lines
684 B
Python
Executable File
26 lines
684 B
Python
Executable File
from __future__ import annotations
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import torch.nn
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import torch
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def get_param(model) -> torch.nn.Parameter:
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"""
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Find the first parameter in a model or module.
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"""
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if hasattr(model, "model") and hasattr(model.model, "parameters"):
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# Unpeel a model descriptor to get at the actual Torch module.
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model = model.model
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for param in model.parameters():
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return param
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raise ValueError(f"No parameters found in model {model!r}")
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def float64(t: torch.Tensor):
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"""return torch.float64 if device is not mps or xpu, else return torch.float32"""
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if t.device.type in ['mps', 'xpu']:
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return torch.float32
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return torch.float64
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