Qwen-Image Pro - Professional Image Generation

Generate images with Alibaba Qwen-Image-2.0-Pro via 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

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

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

Text-Heavy Poster

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

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

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)

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

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:

• Use quotes around exact text: "Title: "Hello World!""

• Specify font details: color, style, size, position

• Disable prompt_extend: Set prompt_extend: false for precise control

• 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

{ "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

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

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

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 - How to run apps via CLI

• Streaming Results - Real-time progress updates

• File Handling - Working with images