diff --git a/scripts/ai_gen.py b/scripts/ai_gen.py
new file mode 100644
index 00000000..e48c7929
--- /dev/null
+++ b/scripts/ai_gen.py
@@ -0,0 +1,289 @@
+#!/usr/bin/env python3
+"""
+AI 图片/视频生成工具
+支持平台: 通义万相(免费额度)、海螺AI、MiniMax API
+用法:
+  python3 ai_gen.py image "一只橘猫在沙发上" [--model wax3]
+  python3 ai_gen.py video "海浪拍打沙滩" [--model minimax-video-01]
+  python3 ai_gen.py status
+"""
+
+import os, sys, json, time, argparse, subprocess, urllib.parse, urllib.request
+from pathlib import Path
+
+# ─── 配置区 ──────────────────────────────────────────
+# 通义万相（阿里云百炼）- 有免费额度
+# 获取: https://bailian.console.aliyun.com/
+DASHSCOPE_API_KEY = os.environ.get("DASHSCOPE_API_KEY", "")
+# 体验地址: https://tongyi.aliyun.com/wanxiang/
+
+# 海螺AI (MiniMax) - API
+# 获取: https://www.minimax.io/ 或 https://platform.minimaxi.com/
+MINIMAX_API_KEY = os.environ.get("MINIMAX_API_KEY", "")
+MINIMAX_GROUP_ID = os.environ.get("MINIMAX_GROUP_ID", "")
+
+# ─── 工具函数 ─────────────────────────────────────────
+
+def run(cmd):
+    r = subprocess.run(cmd, shell=True, capture_output=True, text=True)
+    return r.stdout.strip(), r.stderr.strip(), r.returncode
+
+def save_image(url, name=None):
+    if not name:
+        name = f"/tmp/ai_gen_{int(time.time())}.png"
+    subprocess.run(f"curl -sL '{url}' -o '{name}'", shell=True)
+    print(f"  📷 已保存: {name}")
+    return name
+
+def save_video(url, name=None):
+    if not name:
+        name = f"/tmp/ai_gen_{int(time.time())}.mp4"
+    subprocess.run(f"curl -sL '{url}' -o '{name}'", shell=True)
+    print(f"  🎬 已保存: {name}")
+    return name
+
+# ─── 通义万相 ──────────────────────────────────────────
+import requests
+
+def wanxiang_image(prompt, model="wanx3.1-t2i-turbo"):
+    """通义万相 - 图像生成（免费额度）"""
+    if not DASHSCOPE_API_KEY:
+        print("  ⚠️  未设置 DASHSCOPE_API_KEY")
+        print("     体验地址: https://tongyi.aliyun.com/wanxiang/")
+        print("     或获取API: https://bailian.console.aliyun.com/")
+        return None
+
+    url = "https://dashscope.aliyuncs.com/api/v1/services/aigc/text2image/image-synthesis"
+    headers = {
+        "Authorization": f"Bearer {DASHSCOPE_API_KEY}",
+        "Content-Type": "application/json",
+    }
+    data = {
+        "model": model,
+        "input": {"prompt": prompt},
+        "parameters": {
+            "size": "1024*1024",
+            "n": 1,
+            "style": "<auto>",
+        }
+    }
+    resp = requests.post(url, headers=headers, json=data, timeout=30)
+    result = resp.json()
+    if resp.status_code != 200:
+        print(f"  ❌ 错误 {resp.status_code}: {result}")
+        return None
+
+    task_id = result.get("output", {}).get("task_id")
+    if not task_id:
+        print(f"  ❌ 无task_id: {result}")
+        return None
+
+    # 轮询结果
+    print(f"  ⏳ 任务ID: {task_id}，等待生成...")
+    for i in range(30):
+        time.sleep(2)
+        status_url = f"https://dashscope.aliyuncs.com/api/v1/tasks/{task_id}"
+        s = requests.get(status_url, headers=headers, timeout=10).json()
+        status = s.get("output", {}).get("task_status", "")
+        print(f"    [{i+1}] {status}")
+        if status == "succeeded":
+            img_url = s["output"]["results"][0]["image_url"]
+            return save_image(img_url)
+        elif status == "failed":
+            print(f"  ❌ 生成失败: {s}")
+            return None
+    print("  ❌ 超时")
+    return None
+
+# ─── Pollinations（免费，无需API Key）──────────────────
+
+def pollinations_image(prompt, width=1024, height=1024, model=None):
+    """Pollinations - 完全免费的AI生图"""
+    encoded_prompt = urllib.parse.quote(prompt)
+    url = f"https://image.pollinations.ai/prompt/{encoded_prompt}?width={width}&height={height}"
+    if model:
+        url += f"&model={model}"
+    save_path = f"/tmp/pollen_{int(time.time())}.png"
+    print(f"  🔗 URL: {url}")
+    print(f"  ⏳ 生成中（通常10-30秒）...")
+    try:
+        req = urllib.request.Request(url, headers={"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36"})
+        with urllib.request.urlopen(req, timeout=60) as resp:
+            with open(save_path, "wb") as f:
+                f.write(resp.read())
+        size = os.path.getsize(save_path)
+        print(f"  ✅ 已保存: {save_path} ({size//1024}KB)")
+        return save_path
+    except Exception as e:
+        print(f"  ❌ 下载失败: {e}")
+        return None
+
+def pollinations_video(prompt, duration=5):
+    """Pollinations - 免费视频生成（experimental）"""
+    encoded_prompt = urllib.parse.quote(prompt)
+    url = f"https://video.pollinations.ai/v1?prompt={encoded_prompt}&duration={duration}"
+    save_path = f"/tmp/pollen_vid_{int(time.time())}.mp4"
+    print(f"  🔗 {url}")
+    try:
+        req = urllib.request.Request(url, headers={"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36"})
+        with urllib.request.urlopen(req, timeout=60) as resp:
+            with open(save_path, "wb") as f:
+                f.write(resp.read())
+        size = os.path.getsize(save_path)
+        print(f"  ✅ 已保存: {save_path} ({size//1024}KB)")
+        return save_path
+    except Exception as e:
+        print(f"  ❌ 下载失败: {e}")
+        return None
+
+# ─── 海螺AI (MiniMax) ─────────────────────────────────
+
+def hailuo_image(prompt, model="image-01"):
+    """海螺AI - 图像生成"""
+    if not MINIMAX_API_KEY:
+        print("  ⚠️  未设置 MINIMAX_API_KEY")
+        print("     获取: https://platform.minimaxi.com/")
+        return None
+
+    url = "https://api.minimax.chat/v1/image_generation"
+    headers = {
+        "Authorization": f"Bearer {MINIMAX_API_KEY}",
+        "Content-Type": "application/json",
+    }
+    data = {
+        "model": model,
+        "prompt": prompt,
+        "aspect_ratio": "1:1",
+        "response_format": "url",
+    }
+    resp = requests.post(url, headers=headers, json=data, timeout=30)
+    result = resp.json()
+    if "data" in result and result["data"]:
+        img_url = result["data"][0]["url"]
+        return save_image(img_url)
+    else:
+        print(f"  ❌ 错误: {result}")
+        return None
+
+def hailuo_video(prompt, model="video-01"):
+    """海螺AI - 视频生成（推荐，免费额度高）"""
+    if not MINIMAX_API_KEY or not MINIMAX_GROUP_ID:
+        print("  ⚠️  未设置 MINIMAX_API_KEY 或 MINIMAX_GROUP_ID")
+        print("     获取: https://platform.minimaxi.com/")
+        return None
+
+    url = "https://api.minimax.chat/v1/video_generation"
+    headers = {
+        "Authorization": f"Bearer {MINIMAX_API_KEY}",
+        "Content-Type": "application/json",
+        "GroupId": MINIMAX_GROUP_ID,
+    }
+    data = {
+        "model": model,
+        "prompt": prompt,
+        "duration": 5,
+        "resolution": "720p",
+        "response_format": "url",
+    }
+    resp = requests.post(url, headers=headers, json=data, timeout=30)
+    result = resp.json()
+    print(f"  📋 响应: {json.dumps(result, ensure_ascii=False)[:200]}")
+
+    task_id = result.get("data", {}).get("task_id") or result.get("task_id")
+    if not task_id:
+        print(f"  ❌ 无task_id: {result}")
+        return None
+
+    print(f"  ⏳ 任务ID: {task_id}，等待生成（视频约需30-60秒）...")
+    for i in range(60):
+        time.sleep(3)
+        # 查询状态
+        poll_url = f"https://api.minimax.chat/v1/video_generation?task_id={task_id}"
+        s = requests.get(poll_url, headers=headers, timeout=10).json()
+        status = s.get("data", {}).get("status", "processing")
+        print(f"    [{i+1}] {status}")
+        if status == "success" or status == "completed":
+            video_url = s["data"].get("video_info", {}).get("video_url", "")
+            if not video_url:
+                # 尝试其他字段
+                video_url = s["data"].get("video_url", "")
+            if video_url:
+                return save_video(video_url)
+            print(f"  📋 结果: {json.dumps(s, ensure_ascii=False)[:300]}")
+            return None
+        elif status == "failed":
+            print(f"  ❌ 生成失败: {s}")
+            return None
+    print("  ❌ 超时")
+    return None
+
+# ─── 主程序 ───────────────────────────────────────────
+
+def main():
+    parser = argparse.ArgumentParser(description="AI 图片/视频生成工具")
+    sub = parser.add_subparsers(dest="cmd")
+
+    p_img = sub.add_parser("image", help="生成图片")
+    p_img.add_argument("prompt", help="图片描述")
+    p_img.add_argument("--model", default="pollen", help="模型: pollen(默认/免费), wanxiang, hailuo")
+    p_img.add_argument("--width", type=int, default=1024)
+    p_img.add_argument("--height", type=int, default=1024)
+
+    p_vid = sub.add_parser("video", help="生成视频")
+    p_vid.add_argument("prompt", help="视频描述")
+    p_vid.add_argument("--model", default="hailuo", help="模型: hailuo (默认 hailuo)")
+
+    sub.add_parser("status", help="查看配置状态")
+
+    args = parser.parse_args(sys.argv[1:] if len(sys.argv) > 1 else ["status"])
+
+    if args.cmd == "status":
+        print("=" * 40)
+        print("AI 生成工具状态")
+        print("=" * 40)
+        print(f"  Pollinations (图像): ✅ 随时可用（免费）")
+        has_dash = bool(DASHSCOPE_API_KEY)
+        has_mini = bool(MINIMAX_API_KEY)
+        print(f"  通义万相 (图像): {'✅ 已配置' if has_dash else '❌ 未配置'}")
+        print(f"  海螺AI (图像+视频): {'✅ 已配置' if has_mini else '❌ 未配置'}")
+        print()
+        print("获取API密钥:")
+        print("  通义万相: https://bailian.console.aliyun.com/ (有免费额度)")
+        print("  海螺AI:   https://platform.minimaxi.com/")
+        print()
+        print("使用方法:")
+        print("  python3 ai_gen.py image '一只橘猫'                    # 默认 Pollinations")
+        print("  python3 ai_gen.py image '一只橘猫' --width 1024 --height 1024")
+        print("  python3 ai_gen.py image '风景' --model wanxiang       # 通义万相")
+        print("  python3 ai_gen.py video '海浪拍打沙滩'                # 海螺AI视频")
+        print("  python3 ai_gen.py status")
+        return
+
+    if args.cmd == "image":
+        print(f"\n🎨 生成图片: {args.prompt}")
+        if args.model == "pollen":
+            print("  平台: Pollinations（免费，无需API Key）")
+            result = pollinations_image(args.prompt, width=args.width, height=args.height)
+        elif args.model == "wanxiang":
+            print("  平台: 通义万相")
+            result = wanxiang_image(args.prompt)
+        elif args.model == "hailuo":
+            print("  平台: 海螺AI")
+            result = hailuo_image(args.prompt)
+        else:
+            print(f"  ❌ 未知模型: {args.model}")
+            result = None
+        if result:
+            print(f"\n✅ 完成: {result}")
+
+    elif args.cmd == "video":
+        print(f"\n🎬 生成视频: {args.prompt}")
+        result = hailuo_video(args.prompt)
+        if result:
+            print(f"\n✅ 完成: {result}")
+
+    else:
+        parser.print_help()
+
+if __name__ == "__main__":
+    main()
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