101-skills/superpowers

qwen-image-2

Generate and edit images with Alibaba Qwen-Image-2.0 models via inference.sh CLI.

Quelltext ansehen

Verwendung

  1. Installationsbefehl kopieren und das Quellpaket vor der Installation in der eigenen Agentenumgebung prüfen.
  2. Benötigte Werkzeuge, Zugangsdaten und Hosts im Original prüfen.
  3. Eingabe und gewünschtes Ergebnis beschreiben und die Ausgabe mit den Quellen abgleichen.
npx skills add https://github.com/101-skills/superpowers --skill qwen-image-2

Vor dem Start

  • Die Installation umfasst weder Modellabo noch API-Kontingent oder Dateizugriffsrechte.
  • Sterne und Installationen zeigen Aktivität, keine unabhängige Qualitäts- oder Sicherheitsprüfung.
Originales Skill-Dokument

Aus dem Quell-Repository gerendert; Überschriften, Beispiele, Code, Tabellen, Links und Bilder bleiben erhalten.

Install the belt CLI skill: npx skills add belt-sh/cli

Qwen-Image - Alibaba Image Generation

Generate and edit images with Alibaba Qwen-Image-2.0 models via inference.sh CLI.

Qwen-Image-2.0
Qwen-Image-2.0

Quick Start

Requires inference.sh CLI (belt). Install instructions
bash
belt login

belt app run alibaba/qwen-image-2 --input '{"prompt": "A serene mountain landscape at sunset"}'

Models

ModelApp IDSpeedText RenderingBest For
Qwen-Image-2.0alibaba/qwen-image-2FastGoodGeneral use
Qwen-Image-2.0-Proalibaba/qwen-image-2-proStandardProfessionalPosters, text-heavy designs

Search Qwen Image Apps

bash
belt app search "qwen image"

Examples

Basic Text-to-Image

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

Multiple Images

bash
belt app run alibaba/qwen-image-2 --input '{
  "prompt": "Minimalist logo design for a coffee shop",
  "num_images": 4
}'

Custom Resolution

bash
belt app run alibaba/qwen-image-2-pro --input '{
  "prompt": "Panoramic mountain landscape with northern lights",
  "width": 1536,
  "height": 1024
}'

Text-Heavy Poster (Pro)

bash
belt 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)

bash
belt 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

bash
belt app run alibaba/qwen-image-2-pro --input '{
  "prompt": "Professional headshot portrait, studio lighting",
  "negative_prompt": "low resolution, blurry, deformed, oversaturated"
}'

Reproducible with Seed

bash
belt app run alibaba/qwen-image-2 --input '{
  "prompt": "Abstract geometric art in blue and gold",
  "seed": 12345
}'

Input Options

ParameterTypeDescription
promptstringRequired. What to generate or edit (max 800 chars)
reference_imagesarrayInput images for editing (1-3 images)
num_imagesintegerNumber of images to generate (1-6)
widthintegerOutput width in pixels (512-2048)
heightintegerOutput height in pixels (512-2048)
watermarkbooleanAdd "Qwen-Image" watermark
negative_promptstringContent to avoid (max 500 chars)
prompt_extendbooleanEnable prompt rewriting (default: true)
seedintegerRandom seed for reproducibility (0-2147483647)

Size constraint: Total pixels must be between 512×512 and 2048×2048.

Output

FieldTypeDescription
imagesarrayThe generated or edited images (PNG format)
output_metaobjectMetadata 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

bash
# 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

Model Comparison

Featureqwen-image-2qwen-image-2-pro
SpeedFasterStandard
Text RenderingGoodProfessional
RealismStandardFine-grained
Semantic AdherenceGoodEnhanced

Related Skills

bash
# 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

# Video generation (for image-to-video)
npx skills add inference-sh/skills@ai-video-generation

Browse all image apps: belt app list --category image

Documentation

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aus demselben Repository

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