qwen-image

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

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Best use case

qwen-image is best used when you need a repeatable AI agent workflow instead of a one-off prompt. It is especially useful for teams working in multi. 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

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

Users should expect a more consistent workflow output, faster repeated execution, and less time spent rewriting prompts from scratch.

Practical example

Example input

Use the "qwen-image" skill to help with this workflow task. Context: 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

Example output

A structured workflow result with clearer steps, more consistent formatting, and an output that is easier to reuse in the next run.

When to use this skill

  • Use this skill when you want a reusable workflow rather than writing the same prompt again and again.

When not to use this skill

  • Do not use this when you only need a one-off answer and do not need a reusable workflow.
  • Do not use it if you cannot install or maintain the related files, repository context, or supporting tools.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/qwen-image/SKILL.md --create-dirs "https://raw.githubusercontent.com/aiskillstore/marketplace/main/skills/toolshell/qwen-image/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/qwen-image/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How qwen-image Compares

Feature / Agentqwen-imageStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

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

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# Qwen-Image - Alibaba Image Generation

Generate and edit images with Alibaba Qwen-Image-2.0 models via [inference.sh](https://inference.sh) CLI.

![Qwen-Image-2.0](https://cloud.inference.sh/app/files/u/4mg21r6ta37mpaz6ktzwtt8krr/01kjtcbmde0jccmb4t36q04ctx.jpeg)

## Quick Start

> Requires inference.sh CLI (`infsh`). Get installation instructions: `npx skills add inference-sh/skills@agent-tools`

```bash
infsh login

infsh 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

```bash
infsh app list --search "qwen image"
```

## Examples

### Basic Text-to-Image

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

### Multiple Images

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

### Custom Resolution

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

### Text-Heavy Poster (Pro)

```bash
infsh 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)

```bash
infsh 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

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

### Reproducible with Seed

```bash
infsh 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

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

# 2. Edit the prompt
# 3. Run
infsh 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

```bash
# Full platform skill (all 150+ apps)
npx skills add inference-sh/skills@agent-tools

# 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: `infsh app list --category image`

## Documentation

- [Running Apps](https://inference.sh/docs/apps/running) - How to run apps via CLI
- [Streaming Results](https://inference.sh/docs/api/sdk/streaming) - Real-time progress updates
- [File Handling](https://inference.sh/docs/api/sdk/files) - Working with images

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