Agent Skills
› NeverSight/learn-skills.dev
› qwen-image-2
qwen-image-2
GitHub通过 inference.sh CLI 调用阿里云 Qwen-Image-2.0 系列模型，实现文生图、多图编辑及高质量文字渲染。支持自定义分辨率、种子复现及负面提示词，适用于通用图像生成与海报设计等场景。
触发场景
qwen image
qwen-image
alibaba image
dashscope image
qwen image 2
qwen image pro
安装
npx skills add NeverSight/learn-skills.dev --skill qwen-image-2 -g -y
SKILL.md
Frontmatter
{
"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",
"allowed-tools": "Bash(belt *)"
}
Install the belt CLI skill:
npx skills add belt-sh/cli
Qwen-Image - Alibaba Image Generation
Generate and edit images with Alibaba Qwen-Image-2.0 models via inference.sh CLI.
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 store 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: falsefor 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 250+ 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 store --category image
Documentation
- Running Apps - How to run apps via CLI
- Streaming Results - Real-time progress updates
- File Handling - Working with images
版本历史
- c3c0a1e 当前 2026-07-23 07:02
依赖关系
-
suggested
belt-sh/cli -
suggested
inference-sh/skills@infsh-cli -
suggested
inference-sh/skills@ai-image-generation -
suggested
inference-sh/skills@ai-video-generation
