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
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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
allowed-tools
Bash(belt *)
Install the belt CLI skill:npx skills add belt-sh/cli
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.
belt login
belt 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
belt app run alibaba/qwen-image-2-pro --input '{
"prompt": "A futuristic cityscape at sunset with flying cars"
}'
Text-Heavy Poster
belt 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
belt 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
belt 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)
belt 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
belt 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.
# 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
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 updatesfor 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 apps)
npx skills add inference-sh/skills@infsh-cli
# All image generation models
npx skills add inference-sh/skills@ai-image-generation
Browse all image apps: belt app list --category image
