Agent skill

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

View SKILL.md on GitHub Repository
Stars 0
Forks 0

Install this agent skill to your Project

npx add-skill https://github.com/autohandai/community-skills/tree/main/qwen-image-2-pro

SKILL.md

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.

Qwen-Image-2.0-Pro

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

Recommended Agent Skills

Expand your agent's capabilities with these related and highly-rated skills.

autohandai/community-skills

mapping-mitre-attack-techniques

Maps observed adversary behaviors, security alerts, and detection rules to MITRE ATT&CK techniques and sub-techniques to quantify detection coverage and guide control prioritization. Use when building an ATT&CK-based coverage heatmap, tagging SIEM alerts with technique IDs, aligning security controls to adversary playbooks, or reporting threat exposure to executives. Activates for requests involving ATT&CK Navigator, Sigma rules, MITRE D3FEND, or coverage gap analysis.

0 0
Explore
autohandai/community-skills

hunting-for-spearphishing-indicators

Hunt for spearphishing campaign indicators across email logs, endpoint telemetry, and network data to detect targeted email attacks.

0 0
Explore
autohandai/community-skills

analyzing-malicious-url-with-urlscan

URLScan.io is a free service for scanning and analyzing suspicious URLs. It captures screenshots, DOM content, HTTP transactions, JavaScript behavior, and network connections of web pages in an isolat

0 0
Explore
autohandai/community-skills

implementing-zero-standing-privilege-with-cyberark

Deploy CyberArk Secure Cloud Access to eliminate standing privileges in hybrid and multi-cloud environments using just-in-time access with time, entitlement, and approval controls.

0 0
Explore
autohandai/community-skills

implementing-pam-for-database-access

Deploy privileged access management for database systems including Oracle, SQL Server, PostgreSQL, and MySQL. Covers session proxy configuration, credential vaulting, query auditing, dynamic credentia

0 0
Explore
autohandai/community-skills

detecting-t1003-credential-dumping-with-edr

Detect OS credential dumping techniques targeting LSASS memory, SAM database, NTDS.dit, and cached credentials using EDR telemetry, Sysmon process access monitoring, and Windows security event correlation.

0 0
Explore

Didn't find tool you were looking for?

Be as detailed as possible for better results