Glm Image Generation

GLM-Image Generation Skill / GLM-Image 图片生成技能

Generate high-quality images from text prompts using the ZhiPu GLM-Image API.

When to Use / 使用场景

• Generate images from text descriptions / 从文字描述生成图片
• Create AI art, illustrations, or concept art / 创作 AI 艺术、插画或概念图
• User mentions "生图", "文生图", "AI 绘画", "generate image", "text-to-image", "create image"
• User provides a prompt and wants to see it visualized / 用户提供描述并想看到可视化效果

Key Features / 核心特性

• High-quality generation: HD mode produces more detailed, refined images (~20s)
• Multiple aspect ratios: Square, portrait, landscape formats supported
• GLM-Image model: Latest model with improved understanding and quality
• Excellent at: Scientific illustrations (科普插画), high-quality portraits (高质量人像), social media graphics (社交媒体图文), commercial posters (商业海报)
• Watermark control: Enable/disable watermarks (requires signed disclaimer for no-watermark)
• Content safety: Built-in content filtering for compliance

Resource Links / 资源链接

Prerequisites / 前置条件

API Key Setup / API Key 配置（Required / 必需）

脚本通过 ZHIPU_API_KEY 环境变量获取密钥，可与其他智谱技能复用同一个 key。 This script reads the key from the ZHIPU_API_KEY environment variable. Reusing the same key across Zhipu skills is optional.

Get Key / 获取 Key： Visit 智谱开放平台 API Keys to create or copy your key.

Setup options / 配置方式（任选一种）：

1. Global config (recommended) / 全局配置（推荐）： Set once in openclaw.json under env.vars, all Zhipu skills will share it:

   {
     "env": {
       "vars": {
         "ZHIPU_API_KEY": "你的密钥"
       }
     }
   }
   

2. Skill-level config / Skill 级别配置： Set for this skill only in openclaw.json:

   {
     "skills": {
       "entries": {
         "glm-image-generation": {
           "env": {
             "ZHIPU_API_KEY": "你的密钥"
           }
         }
       }
     }
   }
   

3. Shell environment variable / Shell 环境变量： Add to ~/.zshrc:

    export ZHIPU_API_KEY="你的密钥"
   

💡 如果你已为其他智谱 skill（如 glmocr、glmv-caption）配置过 key，它们共享同一个 ZHIPU_API_KEY，无需重复配置。

Security & Transparency / 安全与透明度

• Environment variables used / 使用的环境变量：
  • ZHIPU_API_KEY (required / 必需)
• Fixed endpoint / 固定官方端点： https://open.bigmodel.cn/api/paas/v4/images/generations
• No custom API URL override / 不支持自定义 API URL 覆盖： avoids accidental key exfiltration via redirected endpoints.

⛔ MANDATORY RESTRICTIONS / 强制限制 ⛔

1. ONLY use GLM-Image API — Execute the script python scripts/glm_image_cli.py
2. NEVER generate images yourself — Do NOT try to create images using built-in vision or any other method
3. NEVER offer alternatives — Do NOT suggest "I can try to describe it" or similar
4. IF API fails — Display the error message and STOP immediately
5. NO fallback methods — Do NOT attempt image generation any other way

📋 Output Display Rules / 输出展示规则

After running the script, present the generation result clearly.

• Show the generated image URL(s) — images are temporary (30 days), remind user to save
• Display the prompt used and generation parameters (size, quality)
• If content_filter indicates issues, show the warning level

⚠️ Image Display / 图片展示注意：

The API returns a temporary image URL (valid for 30 days). You should:

1. Show the image — Use the URL to display the image in the chat (if platform supports it)
2. Remind user to save — "图片链接有效期 30 天，请及时下载保存"
3. Offer to send to Feishu — If user wants the image sent to a Feishu chat, use the message tool with the image URL

How to Use / 使用方法

Generate from Prompt / 从提示词生成

python scripts/glm_image_cli.py --prompt "一只可爱的小猫咪，坐在阳光明媚的窗台上，背景是蓝天白云"

Specify Size / 指定尺寸

python scripts/glm_image_cli.py --prompt "赛博朋克风格的城市夜景" --size 1568x1056

HD Quality (default for glm-image) / 高清质量（glm-image 默认）

python scripts/glm_image_cli.py --prompt "中国山水画风格，远山近水，云雾缭绕" --quality hd

Disable Watermark (requires signed disclaimer) / 关闭水印（需签署免责声明）

python scripts/glm_image_cli.py --prompt "商业设计素材" --no-watermark

Save Image to Local File / 保存图片到本地

python scripts/glm_image_cli.py --prompt "中国水墨画风格" --save image.png
python scripts/glm_image_cli.py --prompt "赛博朋克城市" --size 1728x960 --save ~/Pictures/cyberpunk.png

Specify User ID (for content moderation) / 指定用户 ID（用于内容审核）

python scripts/glm_image_cli.py --prompt "..." --user-id "user_12345"

Specify Model / 指定模型

python scripts/glm_image_cli.py --prompt "..." --model glm-image
python scripts/glm_image_cli.py --prompt "..." --model cogview-4

CLI Reference / CLI 参数

python {baseDir}/scripts/glm_image_cli.py --prompt TEXT [--model MODEL] [--size SIZE] [--quality QUALITY] [--no-watermark] [--user-id ID] [--save FILE]

Supported Sizes / 支持的尺寸

GLM-Image recommended sizes:

Custom sizes / 自定义尺寸:

• Width and height: 1024px - 2048px
• Both dimensions must be multiples of 32 / 长宽均需为 32 的整数倍
• Maximum total pixels: 2^22 (4,194,304 px) / 最大像素数不超过 2^22

Response Format / 响应格式

Official API Response:

{
  "created": 123,
  "data": [
    {
      "url": "<string>"
    }
  ],
  "content_filter": [
    {
      "role": "assistant",
      "level": 1
    }
  ]
}

CLI Output Format:

{
  "ok": true,
  "model": "glm-image",
  "image_url": "https://open.bigmodel.cn/.../generated_image.png",
  "prompt": "一只可爱的小猫咪，坐在阳光明媚的窗台上，背景是蓝天白云",
  "size": "1280x1280",
  "quality": "hd",
  "created": 1710835200,
  "content_filter": [
    {
      "role": "assistant",
      "level": 3
    }
  ],
  "saved_file": "/Users/xxx/image.png",
  "error": null
}

Key fields:

• ok — whether generation succeeded
• model — model used for generation
• image_url — extracted from data[0].url, temporary URL (valid 30 days)
• prompt — the text prompt used
• size — generated image dimensions
• quality — hd or standard
• created — Unix timestamp when request was created
• content_filter — content safety analysis array (may be empty)
  • role: where the issue was detected (user/assistant/history)
  • level: severity 0-3 (0 = most severe, 3 = minor)
• saved_file — absolute path to saved local file (if --save was used)
• error — error details on failure

Content Safety / 内容安全

The API includes content filtering. If issues are detected, content_filter will contain entries with:

• role: where the issue was detected (user/assistant/history)
• level: severity 0-3 (0 = most severe, 3 = minor)

If level 0-1 detected: Generation will fail, show error to user. If level 2-3 detected: Generation may succeed, but warn user about potential issues.

Error Handling / 错误处理

API key not configured:

{
  "ok": false,
  "error": {
    "code": "MISSING_API_KEY",
    "message": "ZHIPU_API_KEY not configured. Get your API key at: https://bigmodel.cn/usercenter/proj-mgmt/apikeys"
  }
}

→ Show exact error to user, guide them to configure

Authentication failed (401/403):

{
  "ok": false,
  "error": {
    "code": "authentication_error",
    "message": "令牌已过期或验证不正确",
    "status": 401
  }
}

→ API key invalid/expired → reconfigure

Rate limit (429):

{
  "ok": false,
  "error": {
    "code": "rate_limit_exceeded",
    "message": "API rate limit exceeded. Please try again later.",
    "status": 429
  }
}

→ Quota exhausted → inform user to wait or check quota

Content filter violation:

{
  "ok": false,
  "error": {
    "code": "content_filter_violation",
    "message": "Content safety check failed",
    "status": 400
  }
}

→ Explain that the prompt may contain inappropriate content

Invalid size:

{
  "ok": false,
  "error": {
    "code": "INVALID_SIZE",
    "message": "Invalid size: 512x512 for model glm-image. Must be multiple of 32, 1024-2048px, max 2^22 pixels"
  }
}

→ Guide user to use valid size from the supported list

Download failed:

{
  "ok": false,
  "error": {
    "code": "DOWNLOAD_FAILED",
    "message": "Failed to download image to image.png"
  }
}

→ Check file path permissions and disk space

Network error:

{
  "ok": false,
  "error": {
    "code": "NETWORK_ERROR",
    "message": "Network error: [Errno 8] nodename nor servname provided, or not known"
  }
}

→ Check internet connection

Prompt Tips / 提示词技巧

Good prompts:

• Specific details: "一只橘色的英国短毛猫，绿色眼睛，坐在木质窗台上"
• Style keywords: "赛博朋克风格", "中国水墨画", "油画质感", "3D 渲染"
• Lighting: "阳光明媚", "柔和的逆光", "电影感灯光"
• Composition: "特写镜头", "广角视角", "俯视角度"

Avoid:

• Vague descriptions: "好看的图片"
• Contradictory elements: "白天和夜晚同时"
• Too many subjects: Keep focus on 1-2 main elements