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
What this skill does
# Qwen-Image Pro - Professional Image Generation
Generate images with Alibaba Qwen-Image-2.0-Pro via [inference.sh](https://inference.sh) CLI. Best for professional text rendering and complex designs.

## 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-pro --input '{"prompt": "Poster with title \"Welcome!\" in bold blue text"}'
```
## Pro Model Capabilities
- **Professional Text Rendering**: Multi-line and paragraph-level text with fine-grained detail
- **Fine-grained Realism**: Better textures and photorealistic scenes
- **Stronger Semantic Adherence**: More accurately follows complex prompts
- **Complex Designs**: Ideal for text + image combinations
## Examples
### Basic Text-to-Image
```bash
infsh app run alibaba/qwen-image-2-pro --input '{
"prompt": "A futuristic cityscape at sunset with flying cars"
}'
```
### Text-Heavy Poster
```bash
infsh app run alibaba/qwen-image-2-pro --input '{
"prompt": "Healing-style hand-drawn poster featuring three puppies playing with a ball. The main title \"Come Play Ball!\" is prominently displayed at the top in bold, blue cartoon font. Below, the subtitle \"Join the Fun!\" appears in green font.",
"width": 1024,
"height": 1536,
"prompt_extend": false
}'
```
### Marketing Banner
```bash
infsh app run alibaba/qwen-image-2-pro --input '{
"prompt": "Professional marketing banner for summer sale. Large text \"SUMMER SALE\" in white on gradient sunset background. \"50% OFF\" in yellow below. Clean, modern design.",
"width": 1920,
"height": 1080,
"prompt_extend": false,
"negative_prompt": "blurry text, distorted text, low quality"
}'
```
### Multiple Variations
```bash
infsh app run alibaba/qwen-image-2-pro --input '{
"prompt": "Minimalist logo design for a coffee shop called \"Bean & Brew\"",
"num_images": 4
}'
```
### Image Editing (Style Transfer)
```bash
infsh app run alibaba/qwen-image-2-pro --input '{
"prompt": "Make the person from Image 1 wear the outfit from Image 2",
"reference_images": [
{"uri": "https://example.com/person.jpg"},
{"uri": "https://example.com/outfit.jpg"}
],
"num_images": 2
}'
```
### Reproducible Generation
```bash
infsh app run alibaba/qwen-image-2-pro --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 |
## Text Rendering Tips
For best text results with the Pro model:
1. **Use quotes** around exact text: `"Title: \"Hello World!\""`
2. **Specify font details**: color, style, size, position
3. **Disable prompt_extend**: Set `prompt_extend: false` for precise control
4. **Use negative prompts**: `"blurry text, distorted text, low quality"`
**Example prompt structure:**
```
Poster with the title "GRAND OPENING" in large red serif font at the top center.
Below, the date "March 15, 2024" in smaller black text.
Background: elegant gold and white gradient.
Style: professional, clean, modern.
```
## Recommended Negative Prompt
```json
{
"negative_prompt": "low resolution, low quality, deformed limbs, deformed fingers, oversaturated, waxy, no facial details, overly smooth, AI-like, chaotic composition, blurry text, distorted text"
}
```
## 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
```
## Python SDK
```python
from inferencesh import inference
client = inference()
# Text-heavy poster
result = client.run({
"app": "alibaba/qwen-image-2-pro",
"input": {
"prompt": "Poster with title \"Welcome!\" in bold blue text at top",
"width": 1024,
"height": 1536,
"prompt_extend": False
}
})
print(result["output"])
# Stream live updates
for update in client.run({
"app": "alibaba/qwen-image-2-pro",
"input": {
"prompt": "Professional product photography of a watch"
}
}, stream=True):
if update.get("progress"):
print(f"progress: {update['progress']}%")
if update.get("output"):
print(f"output: {update['output']}")
```
## Related Skills
```bash
# Standard Qwen-Image (faster, general use)
npx skills add inference-sh/skills@qwen-image
# 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
```
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
Related in Image & Video
watch
IncludedWatch a video (URL or local path). Downloads with yt-dlp, extracts auto-scaled frames with ffmpeg, pulls the transcript from captions (or Whisper API fallback), and hands the result to Claude so it can answer questions about what's in the video.
physical-ai-defect-image-generation
IncludedUse when the user wants to orchestrate defect image generation, run associated setup, or handle outputs on OSMO. The Day 0 path handles cold-start with USD-to-ROI, image-edit augmentation, and AnomalyGen to create initial PCBA datasets. The Day 1 path performs inference and labeling on real images. This skill helps with first-time asset setup, creation of finetuning checkpoints, and configuring deployment. Trigger keywords: defect image generation, dig workflow, dig pipeline, defect image detection workflow, aoi pipeline, aoi anomalygen, usd2roi anomalygen, day 0 pcba, day 1 pcba, day 1 real-photo alignment, day 1 manual roi, metal surface anomaly, glass defect, anomalygen finetune, setup_pcb, setup_metal, setup_glass, setup_pretrained, dig setup, dig datasets, dig pretrained checkpoint, dig image-edit endpoint.
accelint-react-best-practices
IncludedReact performance optimization and best practices. ALWAYS use this skill when working with any React code - writing components, hooks, JSX; refactoring; optimizing re-renders, memoization, state management; reviewing for performance; fixing hydration mismatches; debugging infinite re-renders, stale closures, input focus loss, animations restarting; preventing remounting; implementing transitions, lazy initialization, effect dependencies. Even simple React tasks benefit from these patterns. Covers React 19+ (useEffectEvent, Activity, ref props). Triggers - useEffect, useState, useMemo, useCallback, memo, inline components, nested components, components inside components, re-render, performance, hydration, SSR, Next.js, useDeferredValue, combined hooks.
elevenlabs-agents
IncludedBuild conversational AI voice agents with ElevenLabs Platform using React, JavaScript, React Native, or Swift SDKs. Configure agents, tools (client/server/MCP), RAG knowledge bases, multi-voice, and Scribe real-time STT. Use when: building voice chat interfaces, implementing AI phone agents with Twilio, configuring agent workflows or tools, adding RAG knowledge bases, testing with CLI "agents as code", or troubleshooting deprecated @11labs packages, Android audio cutoff, CSP violations, dynamic variables, or WebRTC config. Keywords: ElevenLabs Agents, ElevenLabs voice agents, AI voice agents, conversational AI, @elevenlabs/react, @elevenlabs/client, @elevenlabs/react-native, @elevenlabs/elevenlabs-js, @elevenlabs/agents-cli, elevenlabs SDK, voice AI, TTS, text-to-speech, ASR, speech recognition, turn-taking model, WebRTC voice, WebSocket voice, ElevenLabs conversation, agent system prompt, agent tools, agent knowledge base, RAG voice agents, multi-voice agents, pronunciation dictionary, voice speed control, elevenlabs scribe, @11labs deprecated, Android audio cutoff, CSP violation elevenlabs, dynamic variables elevenlabs, case-sensitive tool names, webhook authentication
humanizer
IncludedHumanize AI-generated text by detecting and removing patterns typical of LLM output. Rewrites text to sound natural, specific, and human. Uses 28 pattern detectors, 560+ AI vocabulary terms across 3 tiers, and statistical analysis (burstiness, type-token ratio, readability) for comprehensive detection. Use when asked to humanize text, de-AI writing, make content sound more natural/human, review writing for AI patterns, score text for AI detection, or improve AI-generated drafts. Covers content, language, style, communication, and filler categories.
generating-mermaid-diagrams
IncludedSalesforce architecture diagrams using Mermaid with ASCII fallback. Use this skill when generating text-based diagrams for Salesforce architecture, OAuth flows, ERDs, integration sequences, or Agentforce structure. TRIGGER when: user says "diagram", "visualize", "ERD", or asks for sequence diagrams, flowcharts, class diagrams, or architecture visualizations in Mermaid. DO NOT TRIGGER when: user wants PNG/SVG image output (use generating-visual-diagrams), or asks about non-Salesforce systems.