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BytesAgain › Skills › GLM-V-Prompt-Gen
🦀 ClawHub

GLM-V-Prompt-Gen

by @jaredforreal

Analyze images/videos and generate professional prompts for text-to-image and text-to-video AI tools (Midjourney, Stable Diffusion, DALL-E, Sora, Runway, Kli...

Versionv1.0.3
Downloads1,060
Stars⭐ 1
#image-gen#video#legal
TERMINAL
clawhub install glmv-prompt-gen

📖 About This Skill

name: glmv-prompt-gen description: Analyze images/videos and generate professional prompts for text-to-image and text-to-video AI tools (Midjourney, Stable Diffusion, DALL-E, Sora, Runway, Kling, Pika). Use when the user wants to generate prompts from reference images/videos, create AI art prompts, or get prompt engineering suggestions from visual content. metadata: openclaw: requires: env: - ZHIPU_API_KEY primaryEnv: ZHIPU_API_KEY emoji: "✨" homepage: https://github.com/zai-org/GLM-V/tree/main/skills/glmv-prompt-gen

GLM-V Prompt Generation Skill

Analyze reference images or videos and generate professional prompts for AI image/video generation tools.

When to Use

  • Generate prompts for text-to-image tools (Midjourney, Stable Diffusion, DALL-E, etc.)
  • Generate prompts for text-to-video tools (Sora, Runway, Kling, Pika, etc.)
  • User mentions "生成prompt", "文生图prompt", "文生视频prompt", "prompt工程", "参考图生成prompt", "generate prompt"
  • User provides an image/video and wants to recreate or remix it
  • Extract prompt ideas from reference visual content

    • Supported Input Types

    | Type | Formats | Max Size | Max Count | Base64 | | ----- | -------------- | ----------------- | --------- | ------------- | | Image | jpg, png, jpeg | 5MB / 6000×6000px | 50 | ✅ | | Video | mp4, mkv, mov | 200MB | — | ❌ (URL only) |

    > ⚠️ Images and videos cannot be used in the same request. > ⚠️ Videos only support URLs — local paths and base64 are NOT supported.

    📋 Output Display Rules (MANDATORY)

    After running the script, you must display the full prompt output exactly as returned. Do not summarize, truncate, or only say "prompt generated". Users need the complete prompt (especially the English prompt) for direct copy/paste.

  • Show the full output: content analysis + prompt + prompt breakdown
  • In auto mode, show both text-to-image and text-to-video prompts
  • English prompts are core output and must be shown completely
  • If output was saved (-o), provide the file path and show file content

    • Output Modes

    | Mode | Description | | ------- | -------------------------------------------------- | | image | Generate prompts for text-to-image tools (default) | | video | Generate prompts for text-to-video tools | | auto | Generate prompts for both image and video |

    Resource Links

    | Resource | Link | | --------------- | --------------------------------------------------------------------------------------------------------------------------------- | | Get API Key | https://bigmodel.cn/usercenter/proj-mgmt/apikeys | | API Docs | Chat Completions / 对话补全 |

    Prerequisites

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

    This script reads the key from the ZHIPU_API_KEY environment variable and shares it with other Zhipu skills. 脚本通过 ZHIPU_API_KEY 环境变量获取密钥，与其他智谱技能共用同一个 key。

    Get Key / 获取 Key： Visit Zhipu Open Platform API Keys / 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. OpenClaw config (recommended) / OpenClaw 配置（推荐）： Set in openclaw.json under skills.entries.glmv-prompt-gen.env:

       "glmv-prompt-gen": { "enabled": true, "env": { "ZHIPU_API_KEY": "你的密钥" } }

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

       export ZHIPU_API_KEY="你的密钥"

    > 💡 If you already configured another Zhipu skill (for example zhipu-tools or glmv-caption), they share the same ZHIPU_API_KEY, so no extra setup is needed. > 💡 如果你已为其他智谱 skill（如 zhipu-tools、glmv-caption）配置过 key，它们共享同一个 ZHIPU_API_KEY，无需重复配置。

    How to Use

    Image → Text-to-Image Prompt

    python scripts/prompt_gen.py --images "https://example.com/photo.jpg"
python scripts/prompt_gen.py --images /path/to/photo.png

    Image → Text-to-Video Prompt

    python scripts/prompt_gen.py --images "https://example.com/scene.jpg" --mode video

    Image → Both (Image + Video Prompts)

    python scripts/prompt_gen.py --images "https://example.com/photo.jpg" --mode auto

    Video → Text-to-Video Prompt

    python scripts/prompt_gen.py --videos "https://example.com/clip.mp4" --mode video

    Save Result to File

    python scripts/prompt_gen.py --images photo.jpg --mode image -o prompt.md

    Custom Model

    python scripts/prompt_gen.py --images photo.jpg --model glm-4.6v-flash

    Output Example (image mode)

    ### Content Analysis
A cyberpunk cityscape at night, with dense skyscrapers, glowing neon signs, and rain-wet streets reflecting colorful light.
    Prompt
    
Cyberpunk cityscape at night, towering skyscrapers with glowing neon signs,
rain-wet streets reflecting colorful lights, flying cars in the distance,
volumetric fog, dramatic lighting, ultra detailed, 8K, cinematic composition
    Prompt Breakdown
    

  • Subject: Futuristic skyline with skyscrapers and neon lights
    • 

  • Style: Cyberpunk, sci-fi
    • 

  • Color: Cool/warm contrast with blue-purple dominance and neon accents
    • 

  • Lighting: Neon glow, wet-surface reflections, volumetric fog
    • 

  • Composition: Wide-angle perspective with layered depth
    • 

  • Mood: Mysterious, futuristic, high-tech
    •

    CLI Reference

    python scripts/prompt_gen.py (--images IMG [IMG...] | --videos VID [VID...]) [OPTIONS]

    | Parameter | Required | Description | | --------------------- | -------- | -------------------------------------------------- | | --images, -i | One of | Image paths or URLs (jpg/png/jpeg, base64 OK) | | --videos, -v | One of | Video URLs (mp4/mkv/mov, URL only) | | --mode, -m | No | Output mode: image (default), video, or auto | | --model | No | Model name (default: glm-4.6v) | | --temperature, -t | No | Sampling temperature 0-1 (default: 0.6) | | --max-tokens | No | Max output tokens (default: 2048) | | --thinking | No | Enable thinking/reasoning mode | | --stream | No | Enable streaming output | | --output, -o | No | Save result to file | | --pretty | No | Pretty-print JSON error output |

    Error Handling

    API key not configured: → Guide user to configure ZHIPU_API_KEY

    Authentication failed (401/403): → API key invalid/expired → check at Zhipu API Keys / 智谱官网

    Rate limit (429): → Quota exhausted → wait and retry

    Content filtered: → warning field present → content blocked by safety review

    Timeout: → Video processing may take time → increase timeout or use smaller files

    ⚡ When to Use

    TriggerAction
    - Generate prompts for text-to-video tools (Sora, Runway, Kling, Pika, etc.)
    - User mentions "生成prompt", "文生图prompt", "文生视频prompt", "prompt工程", "参考图生成prompt", "generate prompt"
    - User provides an image/video and wants to recreate or remix it
    - Extract prompt ideas from reference visual content

    ⚙️ Configuration

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

    This script reads the key from the ZHIPU_API_KEY environment variable and shares it with other Zhipu skills. 脚本通过 ZHIPU_API_KEY 环境变量获取密钥，与其他智谱技能共用同一个 key。

    Get Key / 获取 Key： Visit Zhipu Open Platform API Keys / 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. OpenClaw config (recommended) / OpenClaw 配置（推荐）： Set in openclaw.json under skills.entries.glmv-prompt-gen.env:

       "glmv-prompt-gen": { "enabled": true, "env": { "ZHIPU_API_KEY": "你的密钥" } }

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

       export ZHIPU_API_KEY="你的密钥"

    > 💡 If you already configured another Zhipu skill (for example zhipu-tools or glmv-caption), they share the same ZHIPU_API_KEY, so no extra setup is needed. > 💡 如果你已为其他智谱 skill（如 zhipu-tools、glmv-caption）配置过 key，它们共享同一个 ZHIPU_API_KEY，无需重复配置。