ai-image-gen
Generate AI images using ModelScope's Tongyi Wanxiang (通义万相) model. Use this skill whenever the user asks to generate an image, create a picture, draw something, or mentions AI image generation - even if they don't explicitly say "generate image". Triggers on phrases like "画一张图", "生成图片", "create an image", "draw me", "generate a picture", "make an illustration", etc.
git clone https://github.com/xuejianrpa/ai-image-gen
T=$(mktemp -d) && git clone --depth=1 https://github.com/xuejianrpa/ai-image-gen "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/ai-image-gen" ~/.claude/skills/xuejianrpa-ai-image-gen-ai-image-gen && rm -rf "$T"
skills/ai-image-gen/SKILL.mdAI Image Generator
Generate high-quality AI images using ModelScope's Tongyi Wanxiang (通义万相) model.
When to use this skill
Use this skill when the user wants to:
- Generate an AI image from a text description
- Create artwork or illustrations
- Visualize concepts or ideas
- Generate photos or pictures
Trigger phrases (examples):
- "生成一张图片" / "画一张图"
- "Create an image of..."
- "Draw me a..."
- "Generate a picture showing..."
- "Make an illustration of..."
- "我想要一张...的图"
How to use
Step 1: Understand the user's request
Extract the image description from the user's request. If the description is vague, ask clarifying questions:
- What style? (realistic, cartoon, oil painting, etc.)
- What mood? (bright, dark, dramatic, etc.)
- Any specific details? (colors, composition, etc.)
Step 2: Enhance the prompt (optional but recommended)
For better results, you can enhance the user's prompt with additional details:
- Add style modifiers (e.g., "in the style of...", "photorealistic", "digital art")
- Add quality modifiers (e.g., "highly detailed", "4k", "professional")
- Keep the prompt in English for best results with the model
Step 3: Run the generation script
Execute the image generation script:
python ${CLAUDE_SKILL_DIR}/scripts/generate_image.py "your enhanced prompt" --output <output-path>
Parameters:
(required): Text description of the imageprompt
: Output file path (default: generated_image.jpg)--output, -o
: Model ID (default: Tongyi-MAI/Z-Image-Turbo)--model, -m
Example:
python ${CLAUDE_SKILL_DIR}/scripts/generate_image.py \ "A majestic golden cat sitting on a velvet throne, photorealistic, dramatic lighting" \ --output ./cat_throne.jpg
Step 4: Show the result
After generation:
- Confirm the image was saved successfully
- Use the Read tool to display the image to the user
- Ask if they want any modifications or additional images
Prerequisites
Required environment variable:
export MODELSCOPE_API_KEY='your-modelscope-api-key'
The user needs a ModelScope API key. If not set, the script will prompt the user to configure it.
Required Python packages:
requests
(PIL)Pillow
Install with:
pip install requests Pillow
Available models
| Model ID | Description |
|---|---|
| Fast generation (default) |
| Higher quality, slower |
Tips for better results
- Be specific: "A golden retriever puppy playing in autumn leaves" > "a dog"
- Add style: "in the style of Studio Ghibli", "photorealistic", "oil painting"
- Include details: lighting, mood, composition, colors
- Use English: The model works best with English prompts
- Avoid negative phrasing: Say what you want, not what you don't want
Example workflow
User: "帮我画一只在月亮上的猫"
Your response:
- Enhance prompt: "A fluffy white cat sitting on the crescent moon, starry night sky background, dreamy atmosphere, digital art style"
- Run script:
python ${CLAUDE_SKILL_DIR}/scripts/generate_image.py \ "A fluffy white cat sitting on the crescent moon, starry night sky background, dreamy atmosphere, digital art style" \ --output moon_cat.jpg - Show the generated image to the user
- Ask: "这是生成的图片,你觉得怎么样?需要调整吗?"
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