modelscope-zimage-generator（modelscope z 图像生成器）

ModelScope Z-Image Generator Skill

Generate images using ModelScope's Z-Image series models with async polling flow.

When to Use This Skill

Use this skill when the user asks to:

• generate an image or illustration
• create artwork or a cover image
• use ModelScope Z-Image or Z-Image-Turbo explicitly
• generate multiple image variants
• apply a LoRA during generation

Common trigger phrases:

• English: generate an image, create artwork, make a cover, use Z-Image
• Chinese: 生成图片, 画一张图, 创建封面图, 用 Z-Image

Core Workflow

1. Parse the Request

Identify the generation mode:

• text-to-image
• LoRA-assisted generation
• multi-image or batch generation

2. Choose the Model

Select the model based on the user's request:

• explicit Z-Image-Turbo -> Tongyi-MAI/Z-Image-Turbo
• explicit Z-Image -> Tongyi-MAI/Z-Image
• default -> Tongyi-MAI/Z-Image-Turbo

3. Run the Generator Script

cd /path/to/modelscope-zimage-generator
python scripts/generate_image.py "prompt" output.jpg

4. Return the Result

Tell the user what happened:

• success: return the output path
• failure: explain the error clearly

Prerequisites

Before running:

1. ModelScope API key: obtain it from https://modelscope.cn/my/myaccesstoken
2. Python environment: requires requests and PIL
3. Valid script path: make sure generate_image.py exists

Quick Command Mapping

Common Workflows

Text-to-Image

python scripts/generate_image.py "A golden cat in sunset" golden_cat.jpg

Specify Model

python scripts/generate_image.py "A cat" output.jpg --model "Tongyi-MAI/Z-Image"

With LoRA

# Single LoRA
python scripts/generate_image.py "A cat" output.jpg --lora "liuhaotian/llava-lora"

# Multiple LoRAs (weights sum to 1.0)
python scripts/generate_image.py "A cat" output.jpg --loras '{"lora1": 0.6, "lora2": 0.4}'

Batch Generation

# Generate multiple images in parallel
python scripts/generate_image.py "A cat" cat1.jpg &
python scripts/generate_image.py "A dog" dog1.jpg &
wait

Resources

Read references only when needed:

• references/api-reference.md - API 完整参数
• references/lora-config.md - LoRA 配置指南
• references/troubleshooting.md - 故障排查

Troubleshooting

API Key Not Found

# Option 1: Environment variable
export MODELSCOPE_API_KEY="ms-your-key"

# Option 2: Config file
mkdir -p ~/.config/modelscope
cat > ~/.config/modelscope/config.json << EOF
{"api_key": "ms-your-key"}
EOF

Task Timeout

• Default timeout is 5 minutes (60 polling attempts)
• Increase polling attempts or inspect the task status

LoRA Not Working

• Check whether the LoRA ID is valid
• Make sure multiple LoRA weights sum to 1.0
• Do not use --lora and --loras together