- 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' ] } " )