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。
31 lines
859 B
Python
31 lines
859 B
Python
import requests
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import json
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from common.logger import config
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version = config.get('default', 'version')
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if version == "local":
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current_photo_service_url = 'http://192.168.1.57:32678/'
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else:
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current_photo_service_url = 'http://0.0.0.0:32678/'
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def call_hair_train(task_id, hair_id, hair_material_dir, tag, is_tj="0", webui_addr=None, device_id=None):
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url = f"{webui_addr}api/hair/train"
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payload = json.dumps({
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"task_id": task_id,
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"hair_id": hair_id,
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"hair_material_dir": hair_material_dir,
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"tag": tag,
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"is_tj": is_tj,
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"webui_addr": webui_addr,
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"device_id":device_id
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})
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headers = {
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'Content-Type': 'application/json'
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}
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print("---call train payload:", payload)
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response = requests.request("POST", url, headers=headers, data=payload)
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print(response.json())
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