About

Imported from inference-sh/skills (tools/image/qwen-image-2/SKILL.md) via skills.sh. Install upstream with npx skills add inference-sh/skills --skill qwen-image-2. Copyright stays with the author.

Install the belt CLI skill: npx skills add belt-sh/cli

Qwen-Image - Alibaba Image Generation

Name: qwen-image-2
Author: inference-sh

Generate and edit images with Alibaba Qwen-Image-2.0 models via inference.sh CLI.

Qwen-Image-2.0

Quick Start

Requires inference.sh CLI (belt). Install instructions

belt login

belt app run alibaba/qwen-image-2 --input '{"prompt": "A serene mountain landscape at sunset"}'

Models

Model	App ID	Speed	Text Rendering	Best For
Qwen-Image-2.0	`alibaba/qwen-image-2`	Fast	Good	General use
Qwen-Image-2.0-Pro	`alibaba/qwen-image-2-pro`	Standard	Professional	Posters, text-heavy designs

Search Qwen Image Apps

belt app search "qwen image"

Examples

Basic Text-to-Image

belt app run alibaba/qwen-image-2 --input '{
  "prompt": "A futuristic cityscape at sunset with flying cars"
}'

Multiple Images

belt app run alibaba/qwen-image-2 --input '{
  "prompt": "Minimalist logo design for a coffee shop",
  "num_images": 4
}'

Custom Resolution

belt app run alibaba/qwen-image-2-pro --input '{
  "prompt": "Panoramic mountain landscape with northern lights",
  "width": 1536,
  "height": 1024
}'

Text-Heavy Poster (Pro)

belt app run alibaba/qwen-image-2-pro --input '{
  "prompt": "Poster with title \"Summer Sale!\" in bold red text at the top. Subtitle \"50% Off Everything\" in blue below. Beach background with palm trees.",
  "width": 1024,
  "height": 1536,
  "prompt_extend": false
}'

Image Editing (Multi-Reference)

belt app run alibaba/qwen-image-2 --input '{
  "prompt": "Make the girl from Image 1 wear the dress from Image 2 in the pose from Image 3",
  "reference_images": [
    {"uri": "https://example.com/person.jpg"},
    {"uri": "https://example.com/dress.jpg"},
    {"uri": "https://example.com/pose.jpg"}
  ]
}'

With Negative Prompt

belt app run alibaba/qwen-image-2-pro --input '{
  "prompt": "Professional headshot portrait, studio lighting",
  "negative_prompt": "low resolution, blurry, deformed, oversaturated"
}'

Reproducible with Seed

belt app run alibaba/qwen-image-2 --input '{
  "prompt": "Abstract geometric art in blue and gold",
  "seed": 12345
}'

Input Options

Parameter	Type	Description
`prompt`	string	Required. What to generate or edit (max 800 chars)
`reference_images`	array	Input images for editing (1-3 images)
`num_images`	integer	Number of images to generate (1-6)
`width`	integer	Output width in pixels (512-2048)
`height`	integer	Output height in pixels (512-2048)
`watermark`	boolean	Add "Qwen-Image" watermark
`negative_prompt`	string	Content to avoid (max 500 chars)
`prompt_extend`	boolean	Enable prompt rewriting (default: true)
`seed`	integer	Random seed for reproducibility (0-2147483647)

Size constraint: Total pixels must be between 512×512 and 2048×2048.

Output

Field	Type	Description
`images`	array	The generated or edited images (PNG format)
`output_meta`	object	Metadata with dimensions and count

Prompt Tips

For Text Rendering (use Pro model):

Put exact text in quotes: "Title: \"Hello World!\""
Specify font style, color, position
Set prompt_extend: false for precise control

Styles: photorealistic, illustration, watercolor, oil painting, digital art, anime, 3D render

Composition: close-up, wide shot, aerial view, macro, portrait, landscape

Lighting: natural light, studio lighting, golden hour, dramatic shadows, neon

Sample Workflow

# 1. Generate sample input to see all options
belt app sample alibaba/qwen-image-2-pro --save input.json

# 2. Edit the prompt
# 3. Run
belt app run alibaba/qwen-image-2-pro --input input.json

Model Comparison

Feature	qwen-image-2	qwen-image-2-pro
Speed	Faster	Standard
Text Rendering	Good	Professional
Realism	Standard	Fine-grained
Semantic Adherence	Good	Enhanced

Related Skills

# Full platform skill (all apps)
npx skills add inference-sh/skills@infsh-cli

# All image generation models
npx skills add inference-sh/skills@ai-image-generation

# Video generation (for image-to-video)
npx skills add inference-sh/skills@ai-video-generation

Browse all image apps: belt app list --category image

Documentation

Running Apps - How to run apps via CLI
Streaming Results - Real-time progress updates
File Handling - Working with images

Use it

Copy one of these into your project. Installing also returns the manifest and these snippets.

yaml

targets:
  - https://api.opensmartroute.ai/api/v1/registry/inference-sh-skills-qwen-image-2/manifest   # or paste the manifest below

Manifest

An Open Capability Manifest: the router reads it to know what this does, what it costs and when to pick it.

inference-sh-skills-qwen-image-2.ocm.jsonjson

{
  "ocm": "1",
  "id": "inference-sh-skills-qwen-image-2",
  "kind": "skill",
  "name": "qwen-image-2",
  "description": "Generate and edit images with Alibaba Qwen-Image-2.0 models via inference.sh CLI. Models: Qwen-Image-2.0 (fast), Qwen-Image-2.0-Pro (professional text rendering). Capabilities: text-to-image, multi-image editing, complex text rendering. Triggers: qwen image, qwen-image, alibaba image, dashscope image, qwen image 2, qwen image pro",
  "publisher": "inference-sh",
  "version": "1.0.0",
  "capabilities": {
    "domains": [
      "general"
    ],
    "tags": [
      "skill-md",
      "skills-sh"
    ],
    "languages": [
      "en"
    ]
  },
  "quality_prior": 0.6,
  "examples": [
    "Generate and edit images with Alibaba Qwen-Image-2.0 models via inference.sh CLI. Models: Qwen-Image-2.0 (fast), Qwen-Image-2.0-Pro (professional text rendering). Capabilities: text-to-image, multi-image editing, complex text rendering. Triggers: qwen image, qwen-image, alibaba image, dashscope image, qwen image 2, qwen image pro"
  ],
  "primary": false,
  "metadata": {
    "source": {
      "provider": "skills.sh",
      "repository": "https://github.com/inference-sh/skills",
      "path": "tools/image/qwen-image-2/SKILL.md",
      "ref": "HEAD",
      "url": "https://www.skills.sh/inference-sh/skills/qwen-image-2",
      "key": "inference-sh/skills/tools/image/qwen-image-2/SKILL.md"
    },
    "allowed_tools": [
      "Bash(belt",
      "*)"
    ]
  },
  "instructions": "> **Install the belt CLI skill:** `npx skills add belt-sh/cli`\n\n# Qwen-Image - Alibaba Image Generation\n\nGenerate and edit images with Alibaba Qwen-Image-2.0 models via [inference.sh](https://inference.sh) CLI.\n\n![Qwen-Image-2.0](https://cloud.inference.sh/app/files/u/4mg21r6ta37mpaz6ktzwtt8krr/01kjtcbmde0jccmb4t36q04ctx.jpeg)\n\n## Quick Start\n\n> Requires inference.sh CLI (`belt`). [Install instructions](https://raw.githubusercontent.com/inference-sh/skills/refs/heads/main/cli-install.md)\n\n```bash\nbelt login\n\nbelt app run alibaba/qwen-image-2 --input '{\"prompt\": \"A serene mountain landscape at ",
  "cost": {
    "context_tokens": 1272
  }
}

Fetch it by URL: GET /api/v1/registry/inference-sh-skills-qwen-image-2/manifest?version=1.0.0

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