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
Best use case
qwen-image is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
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
Teams using qwen-image should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/qwen-image/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How qwen-image Compares
| Feature / Agent | qwen-image | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/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.

## 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 imagesRelated Skills
image-optimization-helper
Image Optimization Helper - Auto-activating skill for Frontend Development. Triggers on: image optimization helper, image optimization helper Part of the Frontend Development skill category.
gpt-image-1-5
Generate and edit images using OpenAI's GPT Image 1.5 model. Use when the user asks to generate, create, edit, modify, change, alter, or update images. Also use when user references an existing image file and asks to modify it in any way (e.g., "modify this image", "change the background", "replace X with Y"). Supports text-to-image generation and image editing with optional mask. DO NOT read the image file first - use this skill directly with the --input-image parameter.
azure-image-builder
Build Azure managed images and Azure Compute Gallery images with Packer. Use when creating custom images for Azure VMs.
java-add-graalvm-native-image-support
GraalVM Native Image expert that adds native image support to Java applications, builds the project, analyzes build errors, applies fixes, and iterates until successful compilation using Oracle best practices.
image-manipulation-image-magick
Process and manipulate images using ImageMagick. Supports resizing, format conversion, batch processing, and retrieving image metadata. Use when working with images, creating thumbnails, resizing wallpapers, or performing batch image operations.
OpenAI Image Gen
Generate a handful of “random but structured” prompts and render them via the OpenAI Images API.
Nano Banana Pro (Gemini 3 Pro Image)
Use the bundled script to generate or edit images.
image-gen
AI 图片生成。通过 ModelScope API 生成图片,支持文生图、异步任务轮询、LoRA 风格叠加、自定义尺寸。当用户要求生成图片、画图、创建插画、制作海报配图时使用。
image-analysis
图片分析与识别,可分析本地图片、网络图片、视频、文件。适用于 OCR、物体识别、场景理解等。当用户发送图片或要求分析图片时必须使用此技能。
image-assistant
配图助手 - 把文章/模块内容转成统一风格、少字高可读的 16:9 信息图提示词;先定“需要几张图+每张讲什么”,再压缩文案与隐喻,最后输出可直接复制的生图提示词并迭代。
zimage-skill
Generate images using ModelScope Z-Image-Turbo API. Use when user asks to generate, create, or make images, pictures, or illustrations.
qwen-image-pro
Generate images with Alibaba Qwen-Image-2.0-Pro via inference.sh CLI. Professional text rendering, fine-grained realism, enhanced semantic adherence. Ideal for posters, banners, and text-heavy designs. Triggers: qwen image pro, qwen-image-pro, qwen 2 pro, alibaba image pro, dashscope pro, professional text rendering