xsl
443cfa298f
包含： - hair_service_sd: 主服务（换发型/换发色/生发，端口8801） - photo_service: LoRA调度+训练（端口32678） - hair_grow_service: 调试测试页（端口8888，含4个测试页） - 批量训练脚本（batch_train_hairstyles.py） - 发际线mask自动识别（hairline_mask.py，4种方案） - 手绘mask换发型（hair_swap_manual.py） - 文档：README.md + LARGE_FILES.md + docs/ 大文件（模型权重200G、训练数据123G）已排除，见 LARGE_FILES.md OSS/COS密钥已脱敏为环境变量，原文件备份在本地
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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