- 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 (
- infsh
- ). Get installation instructions:
- npx skills add inference-sh/skills@agent-tools
- infsh login
- infsh 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
- infsh app list
- --search
- "qwen image"
- Examples
- Basic Text-to-Image
- infsh app run alibaba/qwen-image-2
- --input
- '{
- "prompt": "A futuristic cityscape at sunset with flying cars"
- }'
- Multiple Images
- infsh app run alibaba/qwen-image-2
- --input
- '{
- "prompt": "Minimalist logo design for a coffee shop",
- "num_images": 4
- }'
- Custom Resolution
- infsh app run alibaba/qwen-image-2-pro
- --input
- '{
- "prompt": "Panoramic mountain landscape with northern lights",
- "width": 1536,
- "height": 1024
- }'
- Text-Heavy Poster (Pro)
- infsh 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)
- infsh 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
- infsh app run alibaba/qwen-image-2-pro
- --input
- '{
- "prompt": "Professional headshot portrait, studio lighting",
- "negative_prompt": "low resolution, blurry, deformed, oversaturated"
- }'
- Reproducible with Seed
- infsh 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
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 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