xsl
6f34e8876c
硬件迁移：从 RTX 5090 (32GB) 迁移到 RTX 3090 (24GB) 主要改动： - 所有启动脚本和配置文件中的 /home/xsl/ 路径替换为 /home/ubuntu/ - 适配新的 24GB VRAM 环境
30 lines
1.0 KiB
Python
30 lines
1.0 KiB
Python
#!/usr/bin/env python3
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"""测试 photo_service 的 /api/hair/train 接口能否触发本地 LoRA 训练"""
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import requests, json
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# 用一个已有完整训练素材的发型
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HAIR_ID = "1905785164224868354"
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MATERIAL_DIR = f"/home/ubuntu/change_hair/data/train_material/{HAIR_ID}"
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payload = {
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"task_id": f"test_train_{HAIR_ID}",
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"hair_id": HAIR_ID,
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"hair_material_dir": MATERIAL_DIR,
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"is_tj": "1", # 触发回调到 hair_service
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"device_id": "0", # 单卡用 0
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"webui_addr": "http://0.0.0.0:32678/",
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}
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print(f"=== 调用 /api/hair/train (hair_id={HAIR_ID}) ===")
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try:
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r = requests.post("http://127.0.0.1:32678/api/hair/train", json=payload, timeout=30)
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d = r.json()
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print(f"HTTP {r.status_code} | {d}")
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if d.get("state") == 0:
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print("✓ 训练任务已入队，后台 train_thread 将执行 LoRA 训练")
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print(" 请查看 photo_service.log 观察训练进度")
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else:
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print(f"✗ 入队失败: {d}")
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except Exception as e:
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print(f"✗ 请求异常: {e}")
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