Atlas / Skills / inference-sh / Qwen Image 2

Qwen Image 2SAFE

skills/inference-sh/qwen-image-2

inference.sh Agent skills for using our API to give your agents access to hundreds of apps and other agents

Verdict
SAFE
Grade
B
Trust score
89 /100
Version
—
Hosts
—
License
—
Stars
767
01

Overview

inference.sh Agent skills for using our API to give your agents access to hundreds of apps and other agents

Read from source at commit d30242fc0e10OBSERVED · 2026-10-14
02

Install

Commands as the repository documents them. They are shown, not run.

npx skills add inference-sh/skills@infsh-cli
npx skills add inference-sh/skills@ai-image-generation
npx skills add inference-sh/skills@ai-video-generation
03

What it tells the agent

The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.

---
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](https://inference.sh) CLI.

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

## Quick Start

> Requires inference.sh CLI (`belt`). [Install instructions](https://raw.githubusercontent.com/inference-sh/skills/refs/heads/main/cli-install.md)

```bash
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

```bash
belt app search "qwen image"
```

## Examples

### Basic Text-to-Image

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

### Multiple Images

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

### Custom Resolution

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

### Text-Heavy Poster (Pro)

```bash
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)

```bash
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

```bash
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

```bash
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

```bash
# 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

```bash
# 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](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
04

Trust audit

SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.

LayerWhat it checksResult
L0Provenance & inventoryPASS
L1Static analysis of the codeNA
L2Instruction surface (what it tells the agent)PASS
L3Class-specific surfacePASS
L4Behavioural (sandbox)SKIPPED

What the source does

Filesystem
none-observed
Network
none-observed
Shell
none-observed
Dependencies
pinned
Secrets in source
none-found

Findings (1)

LOWInventory / provenance · inv.no_license · CWE-1104
Why it matters. no LICENSE file and no repo licence
Fix. add a licence

Gates applied: no_behavioural_pass, no_license.

Audited 2026-10-14 · audit v0.4.1 · source sha d30242fc0e10full audit observations/trust-audit/skill/inference-sh__qwen-image-2.json · Report an issue / request a re-scan
05

Audit history

Every audit this skill has had.

DateSourceVerdictGradeScoreChange
2026-10-14d30242fc0e10SAFEB89first audit
06

Questions

What does the Qwen Image 2 skill do?

inference.sh Agent skills for using our API to give your agents access to hundreds of apps and other agents

Is Qwen Image 2 safe to install?

The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.

What can Qwen Image 2 access on my machine?

The audit observed no filesystem, network or shell use at all in its source.

How current is this page?

The grade is for one exact copy of the source (d30242fc0e10), read on 2026-10-14. The repository is watched, and a new audit runs when it changes — this is the first audit.

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