ModelScope Image Generation Skill

Generate AI images using ModelScope's powerful text-to-image model.

When to Use This Skill

Trigger when user:

• Asks to generate an image
• Wants to create a picture from description
• Says "生成图片" or "画一个..."
• Mentions ModelScope image generation
• Uses phrases like "create an image", "generate a picture"

Quick Start

# Generate an image with a text prompt
python scripts/run.py generate.py --prompt "A golden cat sitting on a windowsill"

# Generate with Chinese prompt
python scripts/run.py generate.py --prompt "一只金色的猫坐在窗台上，阳光照进来"

# Generate and save to specific path
python scripts/run.py generate.py --prompt "A beautiful sunset over mountains" --save-path "sunset.png"

# Generate with custom model
python scripts/run.py generate.py --prompt "Cyberpunk city at night" --model "Tongyi-MAI/Z-Image"

Configuration (One-Time Setup)

Step 1: Set your API Key

Create a

.env

MODELSCOPE_API_KEY=ms-your-api-key-here

Or set as environment variable:

# Windows PowerShell
$env:MODELSCOPE_API_KEY="ms-your-api-key-here"

# Windows CMD
set MODELSCOPE_API_KEY=ms-your-api-key-here

# Linux/Mac
export MODELSCOPE_API_KEY="ms-your-api-key-here"

Step 2: Install dependencies (automatic on first run)

python scripts/run.py generate.py --help

This will automatically:

• Create

  .venv

  virtual environment
• Install required dependencies (requests, Pillow)

Parameters

--prompt

--model

--save-path

--timeout

--async-mode

Examples

Basic Usage

# Simple image generation
python scripts/run.py generate.py --prompt "A golden cat"

Advanced Usage

# With custom save location
python scripts/run.py generate.py --prompt "A majestic dragon" --save-path "dragon.png"

# With longer timeout for complex images
python scripts/run.py generate.py --prompt "A detailed fantasy landscape with castles and dragons" --timeout 600

# Using the standard quality model
python scripts/run.py generate.py --prompt "A photorealistic portrait" --model "Tongyi-MAI/Z-Image"

How It Works

1. Submit Request: Sends prompt to ModelScope API with async mode enabled
2. Get Task ID: Receives a task ID for tracking
3. Poll for Result: Checks task status every 5 seconds
4. Download Image: When complete, downloads the generated image
5. Save to File: Saves to specified path (default: result_image.jpg)

Available Models

Troubleshooting

MODELSCOPE_API_KEY not set

.env

Image generation failed

Connection timeout

--timeout

ModuleNotFoundError

pip install -r requirements.txt

Tips for Better Results

1. Be Descriptive: More detailed prompts produce better images

   "A golden cat" → "A fluffy golden cat with emerald eyes sitting on a velvet cushion"
   

2. Specify Style: Include art style for better control

   "A mountain landscape in the style of Studio Ghibli"
   

3. Use Chinese or English: The model supports both languages well

   "一只在月光下的猫，水彩画风格"
   

4. Add Details: Include lighting, mood, and composition

   "A serene sunset over calm ocean waters, warm orange and pink sky, peaceful atmosphere"
   

Data Storage

• Generated images are saved to the current working directory or specified path
• No user data is stored externally
• API key is never shared or logged

Limitations

• Requires valid ModelScope API key
• Generation time: 30-90 seconds typically
• Max timeout: 600 seconds (10 minutes)
• Image format: JPG by default (use .png extension for PNG)

Skill Directory Structure

~/.claude/skills/modelscope-image-gen/
├── SKILL.md           # This file - skill documentation
├── scripts/
│   ├── run.py         # Wrapper script for environment management
│   └── generate.py    # Main image generation script
├── data/              # Local storage (auto-created)
├── .env               # API key configuration (create this)
├── requirements.txt   # Python dependencies
└── .venv/             # Virtual environment (auto-created)

Resources

• ModelScope Documentation
• Tongyi-MAI Model Page