AgentStack
SKILL verified MIT Self-run

Modelscope Zimage Generator

skill-haiyuan-ai-agent-skills-modelscope-zimage-generator · by haiyuan-ai

|

No reviews yet
0 installs
5 views
0.0% view→install

Install

$ agentstack add skill-haiyuan-ai-agent-skills-modelscope-zimage-generator

✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

Are you the author of Modelscope Zimage Generator? Claim this listing to set pricing, connect Stripe payouts, and keep 70% of every sale.
Sign up to claim

About

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

| User Request | Command | |-------------|---------| | "Generate image" | python scripts/generate_image.py "prompt" output.jpg | | "Use Z-Image" | python scripts/generate_image.py "prompt" output.jpg --model "Tongyi-MAI/Z-Image" | | "With LoRA" | python scripts/generate_image.py "prompt" output.jpg --lora "lora-id" |

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

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

No reviews yet — be the first.

Versions

  • v0.1.0 Imported from the upstream source.