Files
change_hair/test_train_api.py
T
xsl 443cfa298f 初始化:换发型/换发色/训练发型服务
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
2026-07-07 13:53:52 +08:00

30 lines
1.0 KiB
Python

#!/usr/bin/env python3
"""测试 photo_service 的 /api/hair/train 接口能否触发本地 LoRA 训练"""
import requests, json
# 用一个已有完整训练素材的发型
HAIR_ID = "1905785164224868354"
MATERIAL_DIR = f"/home/xsl/change_hair/data/train_material/{HAIR_ID}"
payload = {
"task_id": f"test_train_{HAIR_ID}",
"hair_id": HAIR_ID,
"hair_material_dir": MATERIAL_DIR,
"is_tj": "1", # 触发回调到 hair_service
"device_id": "0", # 单卡用 0
"webui_addr": "http://0.0.0.0:32678/",
}
print(f"=== 调用 /api/hair/train (hair_id={HAIR_ID}) ===")
try:
r = requests.post("http://127.0.0.1:32678/api/hair/train", json=payload, timeout=30)
d = r.json()
print(f"HTTP {r.status_code} | {d}")
if d.get("state") == 0:
print("✓ 训练任务已入队,后台 train_thread 将执行 LoRA 训练")
print(" 请查看 photo_service.log 观察训练进度")
else:
print(f"✗ 入队失败: {d}")
except Exception as e:
print(f"✗ 请求异常: {e}")