初始化换发型项目：3个微服务代码 + 部署脚本

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。

photo_service/gpt4v_caption.py

@@ -0,0 +1,68 @@
+import base64
+import time
+
+import requests
+import cv2
+import json
+import re
+import os
+import tqdm
+
+# OpenAI API Key
+api_key = "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"
+
+# Function to encode the image
+def encode_image(image_path):
+  img = cv2.imread(image_path)
+  scale = 500.0 / min(img.shape[:2])
+  img = cv2.resize(img, (0, 0), fx=scale, fy=scale)
+  scaled_path = '/tmp/scaled_image.jpg'
+  cv2.imwrite(scaled_path, img)
+  with open(scaled_path, "rb") as image_file:
+    return base64.b64encode(image_file.read()).decode('utf-8')
+
+def caption_image(image_path):
+  # Getting the base64 string
+  base64_image = encode_image(image_path)
+
+  headers = {
+    "Content-Type": "application/json",
+    "Authorization": f"Bearer {api_key}"
+  }
+
+  payload = {
+    "model": "gpt-4-vision-preview",
+    "messages": [
+      {
+        "role": "user",
+        "content": [
+          {
+            "type": "text",
+            "text": "As an AI image tagging expert, please provide precise tags for the hairstyle in the image, To enhance CLIP model's understanding of the content. Please provide a detailed description of the hairstyle in the image, including but not limited to the color, style, length, curliness, hairline, highlights, gradients,  etc. Your tags should be accurate, non-duplicative, and within a 10-20 word count range. Tags should be comma-separated. No need to provide any safety statements or precautions."
+          },
+          {
+            "type": "image_url",
+            "image_url": {
+              "url": f"data:image/jpeg;base64,{base64_image}",
+              "detail": "low"
+            }
+          }
+        ]
+      }
+    ],
+    "max_tokens": 300
+  }
+
+  try:
+    response = requests.post("https://api.openai.com/v1/chat/completions", headers=headers, json=payload)
+    tmp_json = response.json()
+    return tmp_json['choices'][0]['message']['content']
+  except Exception as e:
+    print(e)
+    return ""
+
+
+if __name__ == '__main__':
+  prompt = caption_image('/home/chinatszrn/Downloads/abc/train_data/style1/07ebac82-4c0f-4dd2-84bd-bc34a059bd9b.png')
+  print(prompt)
+