chore: 适配本机 xsl 路径（RTX 5090 机器）

将所有绝对路径从 /home/ubuntu 改回 /home/xsl，覆盖启动脚本、 configure.ini 及训练/测试脚本。纯路径替换，无功能性改动。本分支(xsl5090)用于本机(RTX 5090)运行；master 维持 /home/ubuntu 供远程 ubuntu 机器使用。
2026-07-18 16:26:16 +08:00
31 changed files with 162 additions and 162 deletions
@@ -8,8 +8,8 @@
  3. 串行执行，记录每个发型成功/失败
 用法:
-  cd /home/ubuntu/change_hair/project/hair_service_sd
+  cd /home/xsl/change_hair/project/hair_service_sd
-  python /home/ubuntu/change_hair/batch_train_hairstyles.py --src /home/ubuntu/change_hair/hair_type_images --gender girl [--only 圆-心形] [--start-from 心形-心形]
+  python /home/xsl/change_hair/batch_train_hairstyles.py --src /home/xsl/change_hair/hair_type_images --gender girl [--only 圆-心形] [--start-from 心形-心形]
 注意：
  - 中文 hair_id 直接用文件名（去扩展名）作为 ID
@@ -24,14 +24,14 @@ import argparse
 import subprocess
 from datetime import datetime
-SRC_DEFAULT = "/home/ubuntu/change_hair/hair_type_images"
+SRC_DEFAULT = "/home/xsl/change_hair/hair_type_images"
-WORK_DIR = "/home/ubuntu/change_hair/data/batch_train_inputs"
+WORK_DIR = "/home/xsl/change_hair/data/batch_train_inputs"
-LOG_FILE = "/home/ubuntu/change_hair/data/batch_train_log.txt"
+LOG_FILE = "/home/xsl/change_hair/data/batch_train_log.txt"
-TRAIN_SCRIPT = "/home/ubuntu/change_hair/train_hairstyle_full.py"
+TRAIN_SCRIPT = "/home/xsl/change_hair/train_hairstyle_full.py"
-HAIR_SERVICE_DIR = "/home/ubuntu/change_hair/project/hair_service_sd"
+HAIR_SERVICE_DIR = "/home/xsl/change_hair/project/hair_service_sd"
-LOCK_FILE = "/home/ubuntu/change_hair/data/batch_train.pid"
+LOCK_FILE = "/home/xsl/change_hair/data/batch_train.pid"
-DONE_FILE = "/home/ubuntu/change_hair/data/batch_train_done.txt"  # 已完成发型清单（断点续跑）
+DONE_FILE = "/home/xsl/change_hair/data/batch_train_done.txt"  # 已完成发型清单（断点续跑）
-LORA_DIR = "/home/ubuntu/change_hair/data/train_material"          # LoRA 输出根目录
+LORA_DIR = "/home/xsl/change_hair/data/train_material"          # LoRA 输出根目录
 def acquire_lock():
@@ -125,7 +125,7 @@ def run_one(hair_id, src_img, gender, py, done_set, force=False):
    log(f"  调用: {' '.join(cmd[:2])} ... --hair-id {hair_id}")
    try:
        # 子进程输出实时写到日志文件
-        proc_log = os.path.join("/home/ubuntu/change_hair/data", f"subprocess_{hair_id}.log")
+        proc_log = os.path.join("/home/xsl/change_hair/data", f"subprocess_{hair_id}.log")
        with open(proc_log, "w", encoding="utf-8") as f:
            r = subprocess.run(
                cmd, cwd=HAIR_SERVICE_DIR,
@@ -152,7 +152,7 @@ def main():
    ap = argparse.ArgumentParser(description="批量训练发型")
    ap.add_argument("--src", default=SRC_DEFAULT, help="原图目录")
    ap.add_argument("--gender", default="girl", choices=["boy", "girl"])
-    ap.add_argument("--py", default="/home/ubuntu/miniconda3/envs/my_hair/bin/python",
+    ap.add_argument("--py", default="/home/xsl/miniconda3/envs/my_hair/bin/python",
                    help="python 解释器")
    ap.add_argument("--only", default=None, help="只训练指定 hair_id（调试用）")
    ap.add_argument("--start-from", default=None,
@@ -2,7 +2,7 @@
 > 适用场景：从原服务器打包上传 conda 环境 + SD WebUI 代码，在本机完成换发型推理部署。
 >
-> 本机路径：`/home/ubuntu/change_hair`（GPU：RTX 5090 32G，CUDA 12.8）
+> 本机路径：`/home/xsl/change_hair`（GPU：RTX 5090 32G，CUDA 12.8）
 >
 > 原服务器参考：`szlc@192.168.101.63`
 >
@@ -48,13 +48,13 @@
 ### 2.1 Conda 环境 × 3
-从原服务器 `/home/szlc/miniconda3/envs/` 打包，上传到本机 `/home/ubuntu/miniconda3/envs/`。
+从原服务器 `/home/szlc/miniconda3/envs/` 打包，上传到本机 `/home/xsl/miniconda3/envs/`。
 | 环境名 | 原服务器路径 | 本机目标路径 | 用途 | 预估大小 |
 |--------|-------------|-------------|------|---------|
-| `my_hair` | `/home/szlc/miniconda3/envs/my_hair/` | `/home/ubuntu/miniconda3/envs/my_hair/` | hair_service_sd 主服务（端口 8801） | ~5–8G |
+| `my_hair` | `/home/szlc/miniconda3/envs/my_hair/` | `/home/xsl/miniconda3/envs/my_hair/` | hair_service_sd 主服务（端口 8801） | ~5–8G |
-| `sdwebui` | `/home/szlc/miniconda3/envs/sdwebui/` | `/home/ubuntu/miniconda3/envs/sdwebui/` | SD WebUI 推理（端口 57860） | ~8–12G |
+| `sdwebui` | `/home/szlc/miniconda3/envs/sdwebui/` | `/home/xsl/miniconda3/envs/sdwebui/` | SD WebUI 推理（端口 57860） | ~8–12G |
-| `py310` | `/home/szlc/miniconda3/envs/py310/` | `/home/ubuntu/miniconda3/envs/py310/` | photo_service LoRA 调度（端口 32678） | ~2–4G |
+| `py310` | `/home/szlc/miniconda3/envs/py310/` | `/home/xsl/miniconda3/envs/py310/` | photo_service LoRA 调度（端口 32678） | ~2–4G |
 > ⚠️ **为什么必须上传，不能从公网安装？** 这三个环境包含特定版本的 PyTorch + CUDA 扩展、历史版本的 pip 包、以及编译好的 C++/CUDA 算子，依赖关系复杂。项目中的 `env.yaml` 是旧的 Python 3.7 规格，与实际运行环境（Python 3.10）不一致，无法用于重建。
@@ -72,8 +72,8 @@ tar czf py310.tar.gz     py310/
 ```bash
 # 在本机执行（上传完成后）
-mkdir -p /home/ubuntu/miniconda3/envs
+mkdir -p /home/xsl/miniconda3/envs
-cd /home/ubuntu/miniconda3/envs
+cd /home/xsl/miniconda3/envs
 tar xzf /path/to/my_hair.tar.gz
 tar xzf /path/to/sdwebui.tar.gz
 tar xzf /path/to/py310.tar.gz
@@ -87,7 +87,7 @@ tar xzf /path/to/py310.tar.gz
 | 原服务器路径 | 本机目标路径 | 说明 | 预估大小 |
 |-------------|-------------|------|---------|
-| `/home/szlc/project/onediff/stable-diffusion-webui/`（排除 `models/`） | `/home/ubuntu/change_hair/project/onediff/stable-diffusion-webui/` | webui.py、modules/、extensions/、repositories/ 等 | ~2–5G |
+| `/home/szlc/project/onediff/stable-diffusion-webui/`（排除 `models/`） | `/home/xsl/change_hair/project/onediff/stable-diffusion-webui/` | webui.py、modules/、extensions/、repositories/ 等 | ~2–5G |
 > ⚠️ 本机当前 `project/onediff/stable-diffusion-webui/` 目录只有 `models/` 子目录（4.6G 模型权重），缺少 `webui.py`、`modules/`、`extensions/` 等所有代码文件。
@@ -131,7 +131,7 @@ tar czf webui_code.tar.gz \
 ```bash
 # 在本机执行（保留已有 models 目录）
-cd /home/ubuntu/change_hair/project/onediff
+cd /home/xsl/change_hair/project/onediff
 tar xzf /path/to/webui_code.tar.gz
 # 解压后确认 models/ 仍在且未被覆盖
 ls -lh stable-diffusion-webui/models/Stable-diffusion/
@@ -147,13 +147,13 @@ ls -lh stable-diffusion-webui/models/Stable-diffusion/
 # ===== 必须上传（方案 A，共 4 项，约 18–30G）=====
 # 1. Conda 环境（3 个）
-/home/szlc/miniconda3/envs/my_hair/       → /home/ubuntu/miniconda3/envs/my_hair/
+/home/szlc/miniconda3/envs/my_hair/       → /home/xsl/miniconda3/envs/my_hair/
-/home/szlc/miniconda3/envs/sdwebui/       → /home/ubuntu/miniconda3/envs/sdwebui/
+/home/szlc/miniconda3/envs/sdwebui/       → /home/xsl/miniconda3/envs/sdwebui/
-/home/szlc/miniconda3/envs/py310/         → /home/ubuntu/miniconda3/envs/py310/
+/home/szlc/miniconda3/envs/py310/         → /home/xsl/miniconda3/envs/py310/
 # 2. SD WebUI 代码（排除 models/）
 /home/szlc/project/onediff/stable-diffusion-webui/（排除 models/）
-    → /home/ubuntu/change_hair/project/onediff/stable-diffusion-webui/
+    → /home/xsl/change_hair/project/onediff/stable-diffusion-webui/
 ```
 ---
@@ -166,16 +166,16 @@ ls -lh stable-diffusion-webui/models/Stable-diffusion/
 | 原服务器路径 | 本机目标路径 | 预估大小 |
 |-------------|-------------|---------|
-| `/home/szlc/project/kohya_ss_home/` | `/home/ubuntu/change_hair/project/kohya_ss_home/` | ~13G |
+| `/home/szlc/project/kohya_ss_home/` | `/home/xsl/change_hair/project/kohya_ss_home/` | ~13G |
-| `/home/szlc/miniconda3/envs/kohya/` | `/home/ubuntu/miniconda3/envs/kohya/` | ~5G |
+| `/home/szlc/miniconda3/envs/kohya/` | `/home/xsl/miniconda3/envs/kohya/` | ~5G |
 ### 4.2 换发色功能
 | 原服务器路径 | 本机目标路径 |
 |-------------|-------------|
-| `/home/szlc/project/data/ref_haircolor/` | `/home/ubuntu/change_hair/project/data/ref_haircolor/` |
+| `/home/szlc/project/data/ref_haircolor/` | `/home/xsl/change_hair/project/data/ref_haircolor/` |
-| `/home/szlc/project/data/ref_color/` | `/home/ubuntu/change_hair/project/data/ref_color/` |
+| `/home/szlc/project/data/ref_color/` | `/home/xsl/change_hair/project/data/ref_color/` |
-| `/home/szlc/project/data/ref_color_imgs/` | `/home/ubuntu/change_hair/project/data/ref_color_imgs/` |
+| `/home/szlc/project/data/ref_color_imgs/` | `/home/xsl/change_hair/project/data/ref_color_imgs/` |
 | `/home/szlc/.../weights/classify_3_2499.pth` | `project/hair_service_sd/weights/classify_3_2499.pth` |
 ### 4.3 更多发型
@@ -207,25 +207,25 @@ ls -lh stable-diffusion-webui/models/Stable-diffusion/
 # 从原服务器直传到本机（在本机执行）
 rsync -avP --partial \
  szlc@192.168.101.63:/home/szlc/miniconda3/envs/my_hair/ \
-  /home/ubuntu/miniconda3/envs/my_hair/
+  /home/xsl/miniconda3/envs/my_hair/
 rsync -avP --partial \
  szlc@192.168.101.63:/home/szlc/miniconda3/envs/sdwebui/ \
-  /home/ubuntu/miniconda3/envs/sdwebui/
+  /home/xsl/miniconda3/envs/sdwebui/
 rsync -avP --partial \
  szlc@192.168.101.63:/home/szlc/miniconda3/envs/py310/ \
-  /home/ubuntu/miniconda3/envs/py310/
+  /home/xsl/miniconda3/envs/py310/
 rsync -avP --partial \
  --exclude='models/' \
  szlc@192.168.101.63:/home/szlc/project/onediff/stable-diffusion-webui/ \
-  /home/ubuntu/change_hair/project/onediff/stable-diffusion-webui/
+  /home/xsl/change_hair/project/onediff/stable-diffusion-webui/
 ```
-### 方式 2：先 tar 再上传到 `/home/ubuntu/data`
+### 方式 2：先 tar 再上传到 `/home/xsl/data`
-若通过网盘中转，先 tar 再上传到 `/home/ubuntu/data/`，上传完成后告知我解压。
+若通过网盘中转，先 tar 再上传到 `/home/xsl/data/`，上传完成后告知我解压。
 ---
@@ -235,15 +235,15 @@ rsync -avP --partial \
 ```bash
 # 1. Conda 环境
-ls /home/ubuntu/miniconda3/envs/my_hair/bin/python
+ls /home/xsl/miniconda3/envs/my_hair/bin/python
-ls /home/ubuntu/miniconda3/envs/sdwebui/bin/python
+ls /home/xsl/miniconda3/envs/sdwebui/bin/python
-ls /home/ubuntu/miniconda3/envs/py310/bin/python
+ls /home/xsl/miniconda3/envs/py310/bin/python
 # 2. WebUI 代码
-ls /home/ubuntu/change_hair/project/onediff/stable-diffusion-webui/webui.py
+ls /home/xsl/change_hair/project/onediff/stable-diffusion-webui/webui.py
 # 3. 模型未被覆盖
-ls -lh /home/ubuntu/change_hair/project/onediff/stable-diffusion-webui/models/Stable-diffusion/v1-5-pruned-emaonly.safetensors
+ls -lh /home/xsl/change_hair/project/onediff/stable-diffusion-webui/models/Stable-diffusion/v1-5-pruned-emaonly.safetensors
 ```
 期望结果：4 项均存在，SD 底模约 4.0G。
@@ -254,7 +254,7 @@ ls -lh /home/ubuntu/change_hair/project/onediff/stable-diffusion-webui/models/St
 你上传完毕并告知后，我会依次执行：
-1. **路径适配**：运行 `adapt_paths.sh`，将所有硬编码路径从 `/home/xsl/change_hair` 改为 `/home/ubuntu/change_hair`，`/home/xsl/miniconda3` 改为 `/home/ubuntu/miniconda3`
+1. **路径适配**：运行 `adapt_paths.sh`，将所有硬编码路径从 `/home/xsl/change_hair` 改为 `/home/xsl/change_hair`，`/home/xsl/miniconda3` 改为 `/home/xsl/miniconda3`
 2. **Conda 路径修复**：运行 `fix_conda_paths.py`，修复 3 个环境中二进制文件的 shebang 和内部路径前缀
 3. **安装 Miniconda 基础环境**（如尚未安装）：从 `repo.anaconda.com` 下载安装
 4. **启动服务**：`bash start_all.sh start`（依赖顺序：webui → photo_service → hair_service_sd）
@@ -283,11 +283,11 @@ POST http://127.0.0.1:8801/api/swapHair/v1
 **Q：能否只上传 miniconda3 整包，不传单个 env？**
-可以。上传 `/home/szlc/miniconda3/` 整包到 `/home/ubuntu/miniconda3/` 也行，体积更大（约 20–30G）但更省事。
+可以。上传 `/home/szlc/miniconda3/` 整包到 `/home/xsl/miniconda3/` 也行，体积更大（约 20–30G）但更省事。
 **Q：webui 上传时不小心覆盖了 models 怎么办？**
-重新从 `/home/ubuntu/data/sdwebui/models/` 或原服务器补传 models 目录即可。
+重新从 `/home/xsl/data/sdwebui/models/` 或原服务器补传 models 目录即可。
 **Q：本机没有 miniconda 基础安装，只传 envs 够吗？**
@@ -299,4 +299,4 @@ webui 启动参数可能需要去掉 `--xformers`，改用 `--opt-sdp-no-mem-att
 **Q：本机磁盘空间是否足够？**
-当前 `/home` 剩余约 30G。3 个 conda 环境约 20–25G，解压后可能吃紧。建议解压一个删一个 tar 包，或考虑清理 `/home/ubuntu/data/`（已有 16G 冗余数据，解压完成后可删除）。
+当前 `/home` 剩余约 30G。3 个 conda 环境约 20–25G，解压后可能吃紧。建议解压一个删一个 tar 包，或考虑清理 `/home/xsl/data/`（已有 16G 冗余数据，解压完成后可删除）。
@@ -9,7 +9,7 @@ OLD_PREFIXES = [
    b"/home/szlc/miniconda3",
    b"/usr/local/miniconda3",
 ]
-NEW_PREFIX = b"/home/ubuntu/miniconda3"
+NEW_PREFIX = b"/home/xsl/miniconda3"
 def is_probably_binary(filepath):
    """通过文件扩展名和内容判断是否为二进制文件"""
@@ -61,7 +61,7 @@ def fix_env(env_dir):
 if __name__ == "__main__":
    for env in sys.argv[1:]:
-        env_path = f"/home/ubuntu/miniconda3/envs/{env}"
+        env_path = f"/home/xsl/miniconda3/envs/{env}"
        if os.path.isdir(env_path):
            print(f"[{env}] 修复中...")
            fix_env(env_path)
@@ -8,7 +8,7 @@ import sys
 import cv2
 import numpy as np
-HAIR_SERVICE_DIR = "/home/ubuntu/change_hair/project/hair_service_sd"
+HAIR_SERVICE_DIR = "/home/xsl/change_hair/project/hair_service_sd"
 sys.path.insert(0, HAIR_SERVICE_DIR)
 os.environ.setdefault("HF_HUB_OFFLINE", "1")
@@ -87,7 +87,7 @@ def gen_hairline_mask(img_path, mask_path):
 if __name__ == "__main__":
    img_path = sys.argv[1] if len(sys.argv) > 1 else \
-        "/home/ubuntu/change_hair/project/data/userImage/8488902485_20250630055547.jpg"
+        "/home/xsl/change_hair/project/data/userImage/8488902485_20250630055547.jpg"
    mask_path = sys.argv[2] if len(sys.argv) > 2 else \
-        "/home/ubuntu/change_hair/project/logs/hairgrow_test_mask.png"
+        "/home/xsl/change_hair/project/logs/hairgrow_test_mask.png"
    gen_hairline_mask(img_path, mask_path)
@@ -14,15 +14,15 @@ import time
 import base64
 import requests
-HAIR_SERVICE_DIR = "/home/ubuntu/change_hair/project/hair_service_sd"
+HAIR_SERVICE_DIR = "/home/xsl/change_hair/project/hair_service_sd"
 sys.path.insert(0, HAIR_SERVICE_DIR)
 os.chdir(HAIR_SERVICE_DIR)
-BOY_IMG = "/home/ubuntu/change_hair/images/boy.png"
+BOY_IMG = "/home/xsl/change_hair/images/boy.png"
-GIRL_IMG = "/home/ubuntu/change_hair/images/girl.png"
+GIRL_IMG = "/home/xsl/change_hair/images/girl.png"
-HAIRSTYLE_DIR = "/home/ubuntu/change_hair/project/data/ref_hairstyle"
+HAIRSTYLE_DIR = "/home/xsl/change_hair/project/data/ref_hairstyle"
-TRAIN_DIR = "/home/ubuntu/change_hair/data/train_material"
+TRAIN_DIR = "/home/xsl/change_hair/data/train_material"
-PREVIEW_DIR = "/home/ubuntu/change_hair/hair_grow_service/static/previews"  # 预览图存储目录
+PREVIEW_DIR = "/home/xsl/change_hair/hair_grow_service/static/previews"  # 预览图存储目录
 SWAP_API = "http://127.0.0.1:8801/api/swapHair/v1"
@@ -8,7 +8,7 @@
  hair_template_material/<hair_id>/first##<name>.pkl       1k关键点
 用法:
-  cd /home/ubuntu/change_hair/project/hair_service_sd
+  cd /home/xsl/change_hair/project/hair_service_sd
  python gen_template_material.py --hair-id new_test_001 --img /path/to/template.jpg
 """
 import os
@@ -19,7 +19,7 @@ import pickle
 import argparse
 ssl._create_default_https_context = ssl._create_unverified_context
-HAIR_SERVICE_DIR = "/home/ubuntu/change_hair/project/hair_service_sd"
+HAIR_SERVICE_DIR = "/home/xsl/change_hair/project/hair_service_sd"
 os.chdir(HAIR_SERVICE_DIR)
 sys.path.insert(0, HAIR_SERVICE_DIR)
 os.environ.setdefault("HF_HUB_OFFLINE", "1")
@@ -6,12 +6,12 @@
 需要在 hair_service_sd 目录下运行（依赖其模块导入）。
 用法:
-    cd /home/ubuntu/change_hair/project/hair_service_sd
+    cd /home/xsl/change_hair/project/hair_service_sd
-    /home/ubuntu/miniconda3/envs/my_hair/bin/python /home/ubuntu/change_hair/hair_grow_cli.py \
+    /home/xsl/miniconda3/envs/my_hair/bin/python /home/xsl/change_hair/hair_grow_cli.py \
        --img test.jpg --mask mask.png --strength 0.5 -o result.jpg
    # 批量跑三档强度对比
-    /home/ubuntu/miniconda3/envs/my_hair/bin/python /home/ubuntu/change_hair/hair_grow_cli.py \
+    /home/xsl/miniconda3/envs/my_hair/bin/python /home/xsl/change_hair/hair_grow_cli.py \
        --img test.jpg --mask mask.png --compare
 """
 import os
@@ -20,7 +20,7 @@ import cv2
 import argparse
 # 把 hair_service_sd 加入路径，使其模块可被导入
-HAIR_SERVICE_DIR = "/home/ubuntu/change_hair/project/hair_service_sd"
+HAIR_SERVICE_DIR = "/home/xsl/change_hair/project/hair_service_sd"
 sys.path.insert(0, HAIR_SERVICE_DIR)
 # 设置离线模式（本机无法访问 huggingface.co）
@@ -7,12 +7,12 @@
 ### 1. 确认 webui 已启动（生发依赖 SD inpainting）
 ```bash
 ss -tlnp | grep 57860   # 确认 webui 在跑
-bash /home/ubuntu/change_hair/start_all.sh status   # 看 webui 是否就绪
+bash /home/xsl/change_hair/start_all.sh status   # 看 webui 是否就绪
 ```
 ### 2. 启动生发服务（端口 8899）
 ```bash
-nohup /home/ubuntu/change_hair/start_hairgrow.sh > /home/ubuntu/change_hair/project/logs/hair_grow_service.log 2>&1 &
+nohup /home/xsl/change_hair/start_hairgrow.sh > /home/xsl/change_hair/project/logs/hair_grow_service.log 2>&1 &
 ```
 ### 3. 打开测试页面
@@ -14,7 +14,7 @@ import base64
 import traceback
 # 把 hair_service_sd 加入 path，使其模块可被导入
-HAIR_SERVICE_DIR = "/home/ubuntu/change_hair/project/hair_service_sd"
+HAIR_SERVICE_DIR = "/home/xsl/change_hair/project/hair_service_sd"
 sys.path.insert(0, HAIR_SERVICE_DIR)
 # 切换到 hair_service_sd 目录，使 common.logger 能读到 config/configure.ini（相对路径）
 os.chdir(HAIR_SERVICE_DIR)
@@ -414,7 +414,7 @@ def train_src_img(hair_id):
    """返回发型的训练原图（hair_type_images/<hair_id>.jpg/.png）。
    用于测试页展示发型真实样子，而非套在标准脸上的效果图。
    """
-    src_dir = "/home/ubuntu/change_hair/hair_type_images"
+    src_dir = "/home/xsl/change_hair/hair_type_images"
    for ext in (".jpg", ".jpeg", ".png"):
        path = os.path.join(src_dir, hair_id + ext)
        if os.path.exists(path):
@@ -6,9 +6,9 @@
 原始图 → 人脸检测+1k关键点 → Generator_Matte头发抠图 → 白底合成 + 居中裁剪 → 打标签
 用法:
-    cd /home/ubuntu/change_hair/project/hair_service_sd
+    cd /home/xsl/change_hair/project/hair_service_sd
-    /home/ubuntu/miniconda3/envs/my_hair/bin/python /home/ubuntu/change_hair/prepare_train_data.py \
+    /home/xsl/miniconda3/envs/my_hair/bin/python /home/xsl/change_hair/prepare_train_data.py \
-        --input /home/ubuntu/change_hair/train_images \
+        --input /home/xsl/change_hair/train_images \
        --hair-id new_hairstyle_001 \
        --gender boy
 """
@@ -22,7 +22,7 @@ import argparse
 ssl._create_default_https_context = ssl._create_unverified_context
 # 必须在 hair_service_sd 目录运行（依赖其模块）
-HAIR_SERVICE_DIR = "/home/ubuntu/change_hair/project/hair_service_sd"
+HAIR_SERVICE_DIR = "/home/xsl/change_hair/project/hair_service_sd"
 os.chdir(HAIR_SERVICE_DIR)
 sys.path.insert(0, HAIR_SERVICE_DIR)
 os.environ.setdefault("HF_HUB_OFFLINE", "1")
@@ -1,21 +1,21 @@
 [default]
 modelDir = weights
-hairstyleDir = /home/ubuntu/change_hair/project/data/ref_hairstyle
+hairstyleDir = /home/xsl/change_hair/project/data/ref_hairstyle
-haircolorDir= /home/ubuntu/change_hair/project/data/ref_haircolor
+haircolorDir= /home/xsl/change_hair/project/data/ref_haircolor
-userDir=/home/ubuntu/change_hair/project/data/userImage
+userDir=/home/xsl/change_hair/project/data/userImage
-tmp_dir=/home/ubuntu/change_hair/project/data/tmp
+tmp_dir=/home/xsl/change_hair/project/data/tmp
-res_dir=/home/ubuntu/change_hair/project/data/res_dir
+res_dir=/home/xsl/change_hair/project/data/res_dir
-userInfo_dir=/home/ubuntu/change_hair/project/data/user_info
+userInfo_dir=/home/xsl/change_hair/project/data/user_info
 baseColor_ID=HDR10_443322
 Port = 11023
-refer_dir = /home/ubuntu/change_hair/project/data/ref_online
+refer_dir = /home/xsl/change_hair/project/data/ref_online
-ref_user_dir = /home/ubuntu/change_hair/project/data/ref_user_imgs
+ref_user_dir = /home/xsl/change_hair/project/data/ref_user_imgs
-train_dir = /home/ubuntu/change_hair/data/train_material
+train_dir = /home/xsl/change_hair/data/train_material
-refImgDir=/home/ubuntu/change_hair/project/data/refImage
+refImgDir=/home/xsl/change_hair/project/data/refImage
-hair_template_material_dir=/home/ubuntu/change_hair/project/data/hair_template_material
+hair_template_material_dir=/home/xsl/change_hair/project/data/hair_template_material
-ref_color=/home/ubuntu/change_hair/project/data/ref_color
+ref_color=/home/xsl/change_hair/project/data/ref_color
-ref_color_img=/home/ubuntu/change_hair/project/data/ref_color_imgs
+ref_color_img=/home/xsl/change_hair/project/data/ref_color_imgs
-upload_train_dir=/home/ubuntu/change_hair/project/data/upload_train_imgs
+upload_train_dir=/home/xsl/change_hair/project/data/upload_train_imgs
 ;version=local
 version=online
@@ -23,7 +23,7 @@ version=online
 strength=1
 [logger]
-logpath = /home/ubuntu/change_hair/project/logs
+logpath = /home/xsl/change_hair/project/logs
 level=INFO
 [timelogger]
@@ -1,4 +1,4 @@
-#!/home/ubuntu/miniconda3/envs/yd/bin/python
+#!/home/xsl/miniconda3/envs/yd/bin/python
 # -*- coding: utf-8 -*-
 import os
 # 监听本机的端口
@@ -25,7 +25,7 @@ import cv2
 import numpy as np
 # MediaPipe 模型路径
-MP_MODEL = "/home/ubuntu/change_hair/project/hair_service_sd/weights/mediapipe/face_landmarker.task"
+MP_MODEL = "/home/xsl/change_hair/project/hair_service_sd/weights/mediapipe/face_landmarker.task"
 _mp_detector = None
@@ -4,7 +4,7 @@
 export CRYPTOGRAPHY_OPENSSL_NO_LEGACY=1
 # 创建Lora目录软连接
-TARGET_LORA="/home/ubuntu/change_hair/project/onediff/stable-diffusion-webui/models/Lora"
+TARGET_LORA="/home/xsl/change_hair/project/onediff/stable-diffusion-webui/models/Lora"
 if [ -e "$TARGET_LORA" ]; then
    echo "删除已存在的Lora连接或目录: $TARGET_LORA"
    rm -rf "$TARGET_LORA"
@@ -13,16 +13,16 @@ ln -s /gz-fs/Lora "$TARGET_LORA"
 echo "创建软连接成功: /gz-fs/Lora -> $TARGET_LORA"
 # 1. 换发算法服务
-cd /home/ubuntu/change_hair/project/hair_service_sd
+cd /home/xsl/change_hair/project/hair_service_sd
-nohup /home/ubuntu/miniconda3/envs/condiff-train-hair/bin/python run_copy_cost_colorb64.py > hair_service.log 2>&1 &
+nohup /home/xsl/miniconda3/envs/condiff-train-hair/bin/python run_copy_cost_colorb64.py > hair_service.log 2>&1 &
 # 2. webUI服务推理 + onediff
-cd /home/ubuntu/change_hair/project/onediff/stable-diffusion-webui
+cd /home/xsl/change_hair/project/onediff/stable-diffusion-webui
-nohup /home/ubuntu/miniconda3/envs/onediff/bin/python webui.py --api --listen --xformers --port 57860 > webui.log 2>&1 &
+nohup /home/xsl/miniconda3/envs/onediff/bin/python webui.py --api --listen --xformers --port 57860 > webui.log 2>&1 &
 nohup ./webui.sh --api --listen --disable-safe-unpickle --port 9038 > webui_sh.log 2>&1 &
 # 3. photo_service
-cd /home/ubuntu/change_hair/project/photo_service
+cd /home/xsl/change_hair/project/photo_service
-nohup /home/ubuntu/miniconda3/envs/py310/bin/python lora_train_service_1.py > photo_service.log 2>&1 &
+nohup /home/xsl/miniconda3/envs/py310/bin/python lora_train_service_1.py > photo_service.log 2>&1 &
 echo "所有服务已在后台启动"
@@ -37,8 +37,8 @@ if version == "local":
    callback_url = 'http://service.aicloud.fit:7395/api/hair/trainCallBack'
 else:
    current_url = 'http://0.0.0.0:7393/'
-    kohya_ss_home_dir = '/home/ubuntu/change_hair/project/kohya_ss_home'
+    kohya_ss_home_dir = '/home/xsl/change_hair/project/kohya_ss_home'
-    webui_lora_dir = '/home/ubuntu/change_hair/project/onediff/stable-diffusion-webui/models/Lora'
+    webui_lora_dir = '/home/xsl/change_hair/project/onediff/stable-diffusion-webui/models/Lora'
    inference_use_onediff = False
    callback_url = 'http://0.0.0.0:8801/api/hair/trainCallBack'
 base_webui_port = '57860'
@@ -307,13 +307,13 @@ def train_thread(sq, gpu_id):
            #   3. GPU 固定 device=0(单卡)
            #   4. 去掉 tokenizer_cache_dir(改用 HF 本地缓存 + 离线模式)
            #   5. 设置 HF_HUB_OFFLINE 避免联网检查
-            kohya_python = '/home/ubuntu/miniconda3/envs/kohya/bin/python'
+            kohya_python = '/home/xsl/miniconda3/envs/kohya/bin/python'
            kohya_workdir = os.path.join(kohya_ss_home_dir, 'kohya_ss')
-            base_model = '/home/ubuntu/change_hair/project/onediff/stable-diffusion-webui/models/Stable-diffusion/v1-5-pruned-emaonly.safetensors'
+            base_model = '/home/xsl/change_hair/project/onediff/stable-diffusion-webui/models/Stable-diffusion/v1-5-pruned-emaonly.safetensors'
            cmd_train = (
                f'cd {kohya_workdir} && '
                f'HF_HUB_OFFLINE=1 TRANSFORMERS_OFFLINE=1 CUDA_VISIBLE_DEVICES={device_id} '
-                f'/home/ubuntu/miniconda3/envs/kohya/bin/accelerate launch --num_cpu_threads_per_process=2 "./train_network.py" --enable_bucket '
+                f'/home/xsl/miniconda3/envs/kohya/bin/accelerate launch --num_cpu_threads_per_process=2 "./train_network.py" --enable_bucket '
                f'--min_bucket_reso=256 --max_bucket_reso=2048 --pretrained_model_name_or_path="{base_model}" '
                f'--train_data_dir={images_dir} --resolution="2000,2000" '
                f'--output_dir={model_dir} '
@@ -1,10 +1,10 @@
 #!/usr/bin/env bash
-# 断点续传大文件到云服务器 /home/ubuntu/data
+# 断点续传大文件到云服务器 /home/xsl/data
 # 用法: bash scripts/sync_data_to_server.sh [all|weights|sd|hairstyles]
 set -euo pipefail
 REMOTE="ubuntu@117.50.213.111"
-REMOTE_BASE="/home/ubuntu/data"
+REMOTE_BASE="/home/xsl/data"
 LOCAL_BASE="/home/xsl/change_hair"
 LOG_DIR="${LOCAL_BASE}/project/logs"
 mkdir -p "$LOG_DIR"
@@ -10,16 +10,16 @@
 #   bash start_all.sh status   # 查看状态
 # =====================================================================
 set -u
-BASE="/home/ubuntu/change_hair"
+BASE="/home/xsl/change_hair"
 PROJ="$BASE/project"
 LOGDIR="$PROJ/logs"
 PIDD="$LOGDIR/pids"
 mkdir -p "$LOGDIR" "$PIDD"
 # conda 环境的 python 路径
-PY_HAIR="/home/ubuntu/miniconda3/envs/my_hair/bin/python"
+PY_HAIR="/home/xsl/miniconda3/envs/my_hair/bin/python"
-PY_SD="/home/ubuntu/miniconda3/envs/sdwebui/bin/python"
+PY_SD="/home/xsl/miniconda3/envs/sdwebui/bin/python"
-PY_PHOTO="/home/ubuntu/miniconda3/envs/py310/bin/python"
+PY_PHOTO="/home/xsl/miniconda3/envs/py310/bin/python"
 # 公共环境变量
 export CRYPTOGRAPHY_OPENSSL_NO_LEGACY=1   # 旧版 cryptography 兼容
@@ -2,5 +2,5 @@
 export CRYPTOGRAPHY_OPENSSL_NO_LEGACY=1
 export CUDA_VISIBLE_DEVICES=0
 export APP_WORKER_ID=1
-cd /home/ubuntu/change_hair/project/hair_service_sd
+cd /home/xsl/change_hair/project/hair_service_sd
-exec /home/ubuntu/miniconda3/envs/my_hair/bin/python run_copy_cost_colorb64.py
+exec /home/xsl/miniconda3/envs/my_hair/bin/python run_copy_cost_colorb64.py
@@ -5,5 +5,5 @@ export CRYPTOGRAPHY_OPENSSL_NO_LEGACY=1
 export CUDA_VISIBLE_DEVICES=0
 export HF_HUB_OFFLINE=1
 export TRANSFORMERS_OFFLINE=1
-cd /home/ubuntu/change_hair/hair_grow_service
+cd /home/xsl/change_hair/hair_grow_service
-exec /home/ubuntu/miniconda3/envs/my_hair/bin/python app.py
+exec /home/xsl/miniconda3/envs/my_hair/bin/python app.py
@@ -1,5 +1,5 @@
 #!/bin/bash
 # 独立启动 photo_service，确保脱离会话
 export CRYPTOGRAPHY_OPENSSL_NO_LEGACY=1
-cd /home/ubuntu/change_hair/project/photo_service
+cd /home/xsl/change_hair/project/photo_service
-exec /home/ubuntu/miniconda3/envs/py310/bin/python -u lora_train_service_1.py
+exec /home/xsl/miniconda3/envs/py310/bin/python -u lora_train_service_1.py
@@ -4,7 +4,7 @@
 # 已传数据自动续传（--partial）
 set -u
-LOGDIR="/home/ubuntu/change_hair/project/logs"
+LOGDIR="/home/xsl/change_hair/project/logs"
 DONE_MARKER="$LOGDIR/sync_all.done"
 mkdir -p "$LOGDIR"
@@ -14,15 +14,15 @@ mkdir -p "$LOGDIR"
 # 任务定义：名称|源|目标
 # 优先级排序：换发色关键链路优先 → 换发型 → 训练相关 → 大数据最后
 TASKS=(
-  "photo_service|szlc@192.168.101.63:/home/szlc/project/photo_service/|/home/ubuntu/change_hair/project/photo_service/"
+  "photo_service|szlc@192.168.101.63:/home/szlc/project/photo_service/|/home/xsl/change_hair/project/photo_service/"
-  "project_data|szlc@192.168.101.63:/home/szlc/project/data/|/home/ubuntu/change_hair/project/data/"
+  "project_data|szlc@192.168.101.63:/home/szlc/project/data/|/home/xsl/change_hair/project/data/"
-  "hair_service_sd|szlc@192.168.101.63:/home/szlc/project/hair_service_sd/|/home/ubuntu/change_hair/project/hair_service_sd/"
+  "hair_service_sd|szlc@192.168.101.63:/home/szlc/project/hair_service_sd/|/home/xsl/change_hair/project/hair_service_sd/"
-  "conda_py310|szlc@192.168.101.63:/home/szlc/miniconda3/envs/py310/|/home/ubuntu/miniconda3/envs/py310/"
+  "conda_py310|szlc@192.168.101.63:/home/szlc/miniconda3/envs/py310/|/home/xsl/miniconda3/envs/py310/"
-  "conda_my_hair|szlc@192.168.101.63:/home/szlc/miniconda3/envs/my_hair/|/home/ubuntu/miniconda3/envs/my_hair/"
+  "conda_my_hair|szlc@192.168.101.63:/home/szlc/miniconda3/envs/my_hair/|/home/xsl/miniconda3/envs/my_hair/"
-  "conda_sdwebui|szlc@192.168.101.63:/home/szlc/miniconda3/envs/sdwebui/|/home/ubuntu/miniconda3/envs/sdwebui/"
+  "conda_sdwebui|szlc@192.168.101.63:/home/szlc/miniconda3/envs/sdwebui/|/home/xsl/miniconda3/envs/sdwebui/"
-  "kohya_ss_home|szlc@192.168.101.63:/home/szlc/project/kohya_ss_home/|/home/ubuntu/change_hair/project/kohya_ss_home/"
+  "kohya_ss_home|szlc@192.168.101.63:/home/szlc/project/kohya_ss_home/|/home/xsl/change_hair/project/kohya_ss_home/"
-  "onediff|szlc@192.168.101.63:/home/szlc/project/onediff/|/home/ubuntu/change_hair/project/onediff/"
+  "onediff|szlc@192.168.101.63:/home/szlc/project/onediff/|/home/xsl/change_hair/project/onediff/"
-  "train_material|szlc@192.168.101.63:/data/train_material/|/home/ubuntu/change_hair/data/train_material/"
+  "train_material|szlc@192.168.101.63:/data/train_material/|/home/xsl/change_hair/data/train_material/"
 )
 echo "========================================" | tee -a "$LOGDIR/sync_main.log"
@@ -1,8 +1,8 @@
 #!/bin/bash
 # 重新同步 conda 环境（上次被 sed 损坏，这次纯净拷贝）
 set -u
-CONDA_ENVS="/home/ubuntu/miniconda3/envs"
+CONDA_ENVS="/home/xsl/miniconda3/envs"
-LOGDIR="/home/ubuntu/change_hair/project/logs"
+LOGDIR="/home/xsl/change_hair/project/logs"
 mkdir -p "$CONDA_ENVS" "$LOGDIR"
 echo "conda 环境重传开始: $(date '+%H:%M:%S')" | tee -a "$LOGDIR/sync_conda.log"
@@ -2,8 +2,8 @@
 """端到端测试：生发走换发型工作流"""
 import base64, requests, time, sys
-img_path = "/home/ubuntu/change_hair/project/data/userImage/8488902485_20250630055547.jpg"
+img_path = "/home/xsl/change_hair/project/data/userImage/8488902485_20250630055547.jpg"
-mask_path = "/home/ubuntu/change_hair/project/logs/hairgrow_test_mask.png"
+mask_path = "/home/xsl/change_hair/project/logs/hairgrow_test_mask.png"
 with open(img_path, "rb") as f:
    img_b64 = "data:image/jpeg;base64," + base64.b64encode(f.read()).decode()
@@ -24,7 +24,7 @@ try:
    d = r.json()
    print(f"HTTP {r.status_code} | state={d.get('state')} | msg={d.get('msg','')} | 耗时={time.time()-t0:.1f}s")
    if d.get("state") == 0:
-        out = "/home/ubuntu/change_hair/project/logs/test_grow_swap_result.jpg"
+        out = "/home/xsl/change_hair/project/logs/test_grow_swap_result.jpg"
        with open(out, "wb") as f:
            f.write(base64.b64decode(d["result"]))
        print(f"✅ 生发成功! 结果图: {out}")
@@ -2,7 +2,7 @@
 """换发色接口测试"""
 import base64, json, requests, sys
-img_path = "/home/ubuntu/change_hair/project/data/userImage/8488902485_20250630055547.jpg"
+img_path = "/home/xsl/change_hair/project/data/userImage/8488902485_20250630055547.jpg"
 with open(img_path, "rb") as f:
    img_b64 = base64.b64encode(f.read()).decode()
@@ -21,7 +21,7 @@ try:
    result = d.get("result", "")
    if d.get("state") == 0 and result:
        # 保存结果图
-        out = "/home/ubuntu/change_hair/project/logs/test_haircolor_result.jpg"
+        out = "/home/xsl/change_hair/project/logs/test_haircolor_result.jpg"
        with open(out, "wb") as f:
            f.write(base64.b64decode(result))
        print(f"✅ 换发色成功! 结果图已保存: {out} ({len(result)} bytes base64)")
@@ -2,8 +2,8 @@
 """测试 /api/hairGrow/v1 接口"""
 import base64, requests, sys
-img_path = "/home/ubuntu/change_hair/project/data/userImage/8488902485_20250630055547.jpg"
+img_path = "/home/xsl/change_hair/project/data/userImage/8488902485_20250630055547.jpg"
-mask_path = "/home/ubuntu/change_hair/project/logs/hairgrow_test_mask.png"
+mask_path = "/home/xsl/change_hair/project/logs/hairgrow_test_mask.png"
 with open(img_path, "rb") as f:
    img_b64 = "data:image/jpeg;base64," + base64.b64encode(f.read()).decode()
@@ -26,7 +26,7 @@ try:
    print(f"HTTP {r.status_code} | msg={d.get('msg')} | state={d.get('state')} | 耗时={time.time()-t0:.1f}s")
    result = d.get("result", "")
    if d.get("state") == 0 and result:
-        out = "/home/ubuntu/change_hair/project/logs/test_hairgrow_api_result.jpg"
+        out = "/home/xsl/change_hair/project/logs/test_hairgrow_api_result.jpg"
        with open(out, "wb") as f:
            f.write(base64.b64decode(result))
        print(f"✅ 生发成功! 结果图: {out}")
@@ -2,7 +2,7 @@
 """换发型接口测试"""
 import base64, json, requests, sys, time
-img_path = "/home/ubuntu/change_hair/project/data/userImage/8488902485_20250630055547.jpg"
+img_path = "/home/xsl/change_hair/project/data/userImage/8488902485_20250630055547.jpg"
 with open(img_path, "rb") as f:
    img_b64 = base64.b64encode(f.read()).decode()
@@ -22,7 +22,7 @@ try:
    print(f"HTTP {r.status_code} | msg={d.get('msg')} | state={d.get('state')} | 耗时={time.time()-t0:.1f}s")
    data = d.get("data", "")
    if d.get("state") == 0 and data:
-        out = "/home/ubuntu/change_hair/project/logs/test_swaphair_result.jpg"
+        out = "/home/xsl/change_hair/project/logs/test_swaphair_result.jpg"
        with open(out, "wb") as f:
            f.write(base64.b64decode(data))
        print(f"✅ 换发型成功! 结果图已保存: {out} ({len(data)} bytes base64)")
@@ -4,7 +4,7 @@ import requests, json
 # 用一个已有完整训练素材的发型
 HAIR_ID = "1905785164224868354"
-MATERIAL_DIR = f"/home/ubuntu/change_hair/data/train_material/{HAIR_ID}"
+MATERIAL_DIR = f"/home/xsl/change_hair/data/train_material/{HAIR_ID}"
 payload = {
    "task_id": f"test_train_{HAIR_ID}",
@@ -15,7 +15,7 @@ import time
 import json
 import shutil
-HAIR_SERVICE_DIR = "/home/ubuntu/change_hair/project/hair_service_sd"
+HAIR_SERVICE_DIR = "/home/xsl/change_hair/project/hair_service_sd"
 os.chdir(HAIR_SERVICE_DIR)
 sys.path.insert(0, HAIR_SERVICE_DIR)
 os.environ.setdefault("HF_HUB_OFFLINE", "1")
@@ -26,15 +26,15 @@ import requests as req
 # (hair_id, gender, template_img)
 HAIRSTYLES = [
-    ("chang_tuoyuan", "girl", "/home/ubuntu/change_hair/hair_type_images/chang_tuoyuan/chang_tuoyuan.jpg"),
+    ("chang_tuoyuan", "girl", "/home/xsl/change_hair/hair_type_images/chang_tuoyuan/chang_tuoyuan.jpg"),
-    ("chang_bolang",  "girl", "/home/ubuntu/change_hair/hair_type_images/chang_bolang/chang_bolang.jpg"),
+    ("chang_bolang",  "girl", "/home/xsl/change_hair/hair_type_images/chang_bolang/chang_bolang.jpg"),
-    ("chang_zhixian", "girl", "/home/ubuntu/change_hair/hair_type_images/chang_zhixian/chang_zhixian.jpg"),
+    ("chang_zhixian", "girl", "/home/xsl/change_hair/hair_type_images/chang_zhixian/chang_zhixian.jpg"),
-    ("chang_huaban",  "girl", "/home/ubuntu/change_hair/hair_type_images/chang_huaban/chang_huaban.jpg"),
+    ("chang_huaban",  "girl", "/home/xsl/change_hair/hair_type_images/chang_huaban/chang_huaban.jpg"),
-    ("chang_xinxing", "girl", "/home/ubuntu/change_hair/hair_type_images/chang_xinxing/chang_xinxing.jpg"),
+    ("chang_xinxing", "girl", "/home/xsl/change_hair/hair_type_images/chang_xinxing/chang_xinxing.jpg"),
 ]
 HAIR_CALLBACK = "http://127.0.0.1:8801/api/hair/trainCallBack"
-UPLOAD_TRAIN_DIR = "/home/ubuntu/change_hair/project/data/upload_train_imgs"
+UPLOAD_TRAIN_DIR = "/home/xsl/change_hair/project/data/upload_train_imgs"
 # 导入 step4/step5 函数（会触发模型加载）
 from train_hairstyle_full import step4_template_material, step5_preview
@@ -6,8 +6,8 @@
 串接 prepare_train_data / gen_template_material / photo_service训练 / 回调 / 预览图
 用法:
-  cd /home/ubuntu/change_hair/project/hair_service_sd
+  cd /home/xsl/change_hair/project/hair_service_sd
-  python /home/ubuntu/change_hair/train_hairstyle_full.py --hair-id huaban1 --input /home/ubuntu/change_hair/huaban1 --gender girl --template-img /home/ubuntu/change_hair/huaban1/huaban1.jpg
+  python /home/xsl/change_hair/train_hairstyle_full.py --hair-id huaban1 --input /home/xsl/change_hair/huaban1 --gender girl --template-img /home/xsl/change_hair/huaban1/huaban1.jpg
 """
 import os
 import sys
@@ -21,7 +21,7 @@ import argparse
 import requests as req
 ssl._create_default_https_context = ssl._create_unverified_context
-HAIR_SERVICE_DIR = "/home/ubuntu/change_hair/project/hair_service_sd"
+HAIR_SERVICE_DIR = "/home/xsl/change_hair/project/hair_service_sd"
 os.chdir(HAIR_SERVICE_DIR)
 sys.path.insert(0, HAIR_SERVICE_DIR)
 os.environ.setdefault("HF_HUB_OFFLINE", "1")
@@ -48,9 +48,9 @@ RESOLUTIONS = [512, 768, 1024, 1280, 1536]
 PHOTO_TRAIN = "http://127.0.0.1:32678/api/hair/train"
 HAIR_CALLBACK = "http://127.0.0.1:8801/api/hair/trainCallBack"
 SWAP_API = "http://127.0.0.1:8801/api/swapHair/v1"
-GIRL_IMG = "/home/ubuntu/change_hair/images/girl.png"
+GIRL_IMG = "/home/xsl/change_hair/images/girl.png"
-BOY_IMG = "/home/ubuntu/change_hair/images/boy.png"
+BOY_IMG = "/home/xsl/change_hair/images/boy.png"
-PREVIEW_DIR = "/home/ubuntu/change_hair/hair_grow_service/static/previews"
+PREVIEW_DIR = "/home/xsl/change_hair/hair_grow_service/static/previews"
 _detector = _aligner = _matte = None
 def get_models():
@@ -8,8 +8,8 @@
  阶段C: 启动服务后串行 step3(回调生成ref材质) + step4(模板) + step5(预览)
 用法:
-  cd /home/ubuntu/change_hair/project/hair_service_sd
+  cd /home/xsl/change_hair/project/hair_service_sd
-  python /home/ubuntu/change_hair/train_hairstyles_parallel.py
+  python /home/xsl/change_hair/train_hairstyles_parallel.py
 """
 import os
 import sys
@@ -18,7 +18,7 @@ import json
 import subprocess
 from concurrent.futures import ThreadPoolExecutor, as_completed
-HAIR_SERVICE_DIR = "/home/ubuntu/change_hair/project/hair_service_sd"
+HAIR_SERVICE_DIR = "/home/xsl/change_hair/project/hair_service_sd"
 os.chdir(HAIR_SERVICE_DIR)
 sys.path.insert(0, HAIR_SERVICE_DIR)
 os.environ.setdefault("HF_HUB_OFFLINE", "1")
@@ -29,11 +29,11 @@ os.environ.setdefault("CUDA_VISIBLE_DEVICES", "0")
 # ====== 配置：本次要训练的发型 ======
 # (hair_id, input_dir, gender, template_img)
 HAIRSTYLES = [
-    ("chang_tuoyuan", "/home/ubuntu/change_hair/hair_type_images/chang_tuoyuan", "girl", "/home/ubuntu/change_hair/hair_type_images/chang_tuoyuan/chang_tuoyuan.jpg"),
+    ("chang_tuoyuan", "/home/xsl/change_hair/hair_type_images/chang_tuoyuan", "girl", "/home/xsl/change_hair/hair_type_images/chang_tuoyuan/chang_tuoyuan.jpg"),
-    ("chang_bolang",  "/home/ubuntu/change_hair/hair_type_images/chang_bolang",  "girl", "/home/ubuntu/change_hair/hair_type_images/chang_bolang/chang_bolang.jpg"),
+    ("chang_bolang",  "/home/xsl/change_hair/hair_type_images/chang_bolang",  "girl", "/home/xsl/change_hair/hair_type_images/chang_bolang/chang_bolang.jpg"),
-    ("chang_zhixian", "/home/ubuntu/change_hair/hair_type_images/chang_zhixian", "girl", "/home/ubuntu/change_hair/hair_type_images/chang_zhixian/chang_zhixian.jpg"),
+    ("chang_zhixian", "/home/xsl/change_hair/hair_type_images/chang_zhixian", "girl", "/home/xsl/change_hair/hair_type_images/chang_zhixian/chang_zhixian.jpg"),
-    ("chang_huaban",  "/home/ubuntu/change_hair/hair_type_images/chang_huaban",  "girl", "/home/ubuntu/change_hair/hair_type_images/chang_huaban/chang_huaban.jpg"),
+    ("chang_huaban",  "/home/xsl/change_hair/hair_type_images/chang_huaban",  "girl", "/home/xsl/change_hair/hair_type_images/chang_huaban/chang_huaban.jpg"),
-    ("chang_xinxing", "/home/ubuntu/change_hair/hair_type_images/chang_xinxing", "girl", "/home/ubuntu/change_hair/hair_type_images/chang_xinxing/chang_xinxing.jpg"),
+    ("chang_xinxing", "/home/xsl/change_hair/hair_type_images/chang_xinxing", "girl", "/home/xsl/change_hair/hair_type_images/chang_xinxing/chang_xinxing.jpg"),
 ]
 PARALLEL = 2  # LoRA 训练并发数
@@ -137,7 +137,7 @@ def main():
    log(f"阶段B完成: LoRA 训练完成 {len(completed)}/{len(step1_ok)}")
    # 写一个完成清单文件，供阶段C脚本读取
-    done_file = "/home/ubuntu/change_hair/project/logs/train_batch_done.json"
+    done_file = "/home/xsl/change_hair/project/logs/train_batch_done.json"
    with open(done_file, "w") as f:
        json.dump({"completed": sorted(completed), "all": ids}, f)
    log(f"已写入完成清单: {done_file}")
@@ -6,7 +6,7 @@
 通过 ThreadPoolExecutor 控制并发数。
 用法:
-  python /home/ubuntu/change_hair/train_lora_parallel.py
+  python /home/xsl/change_hair/train_lora_parallel.py
 前提：step1 训练数据已准备好（data/train_material/<hid>/images/1_hairstyle/*.png）
 """
@@ -16,11 +16,11 @@ import time
 import subprocess
 from concurrent.futures import ThreadPoolExecutor, as_completed
-TRAIN_DIR = "/home/ubuntu/change_hair/data/train_material"
+TRAIN_DIR = "/home/xsl/change_hair/data/train_material"
-KOHYA_WORKDIR = "/home/ubuntu/change_hair/project/kohya_ss_home/kohya_ss"
+KOHYA_WORKDIR = "/home/xsl/change_hair/project/kohya_ss_home/kohya_ss"
-BASE_MODEL = "/home/ubuntu/change_hair/project/onediff/stable-diffusion-webui/models/Stable-diffusion/v1-5-pruned-emaonly.safetensors"
+BASE_MODEL = "/home/xsl/change_hair/project/onediff/stable-diffusion-webui/models/Stable-diffusion/v1-5-pruned-emaonly.safetensors"
-KOHYA_ACCEL = "/home/ubuntu/miniconda3/envs/kohya/bin/accelerate"
+KOHYA_ACCEL = "/home/xsl/miniconda3/envs/kohya/bin/accelerate"
-LOG_DIR = "/home/ubuntu/change_hair/project/logs"
+LOG_DIR = "/home/xsl/change_hair/project/logs"
 # 本次要训练的发型
 HAIRSTYLES = ["chang_tuoyuan", "chang_zhixian", "chang_huaban", "chang_xinxing"]