Imagenty imagen-qwen

Use when generating images with Alibaba Cloud Bailian API, especially for Chinese text rendering or photorealistic images

install

source · Clone the upstream repo

git clone https://github.com/Agents365-ai/imagen-qwen

Claude Code · Install into ~/.claude/skills/

git clone --depth=1 https://github.com/Agents365-ai/imagen-qwen ~/.claude/skills/agents365-ai-imagenty-imagenty

manifest: SKILL.md

source content

Imagen-Qwen - Alibaba Cloud Bailian Text-to-Image Skill

Overview

Generate images using Alibaba Cloud Bailian API. Default endpoint is China region.

Supports three model families:

Qwen-Image 2.0 (latest, native 2K): Flagship general-purpose generator with strong text rendering
Qwen-Image legacy: Lighter Chinese/English text rendering models
Wan Series: Photorealistic images and photography-grade visuals (Wan2.7 supports up to 4K)

Cross-platform support: Windows, macOS, Linux

When to Use This Skill

Automatically activate this skill when:

User requests image generation with Chinese text or calligraphy
Need photorealistic images or photography-style visuals
Creating commercial posters, illustrations, or digital art
User explicitly requests Alibaba Cloud / Bailian / Qwen / Wan models
Any task where AI-generated image with strong Chinese support would be helpful

Workflow

Pick a model based on the request (see Model Selection Guide below). Default to
```
qwen-image-2.0-pro
```
if unsure.
Pick a size: native 2K for the Qwen-Image 2.0 family,
```
1K
```
/
```
2K
```
/
```
4K
```
for Wan2.7, or an aspect-ratio preset (
```
16:9
```
,
```
1:1
```
, etc.).
Run
```
scripts/generate_image.py
```
with the prompt and output path.
If the output path was implicit, save into the user's current working directory.

Models

Qwen-Image 2.0 family - Latest Flagship (MultiModalConversation API)

Model	Description
`qwen-image-2.0-pro`	Default. Latest flagship, native 2K, strongest typography and detail
`qwen-image-2.0`	Standard 2.0 tier, native 2K
`qwen-image-max`	Previous-gen flagship (Dec 2025)

Qwen-Image legacy (ImageSynthesis API)

Model	Description
`qwen-image-plus`	Distilled accelerated version of qwen-image-max
`qwen-image`	Base model

Wan Series - Photorealistic Generation (ImageGeneration API)

Model	Description
`wan2.7-image-pro`	Latest. Up to 4K output, unified architecture (T2I + edit + multi-image)
`wan2.7-image`	Wan 2.7 standard, up to 2K
`wan2.6-t2i`	Wan 2.6, flexible sizing
`wan2.5-t2i-preview`	High quality, up to 768x2700
`wan2.2-t2i-flash`	Speed-optimized
`wan2.2-t2i-plus`	Professional tier
`wanx2.1-t2i-turbo`	Fast execution
`wanx2.1-t2i-plus`	Professional tier
`wanx2.0-t2i-turbo`	Earlier generation

Usage

Basic Usage

# Default model (qwen-image-2.0-pro, native 2K output)
python ~/.claude/skills/imagen-qwen/scripts/generate_image.py "A cute cat" output.png

# Photorealistic with Wan model (Wan2.7 supports 4K)
python ~/.claude/skills/imagen-qwen/scripts/generate_image.py --model wan2.7-image-pro --size 4K "Realistic photo of mountains at sunset" photo.png

Size Options

# Use ratio preset
python ~/.claude/skills/imagen-qwen/scripts/generate_image.py --size 16:9 "Wide landscape" landscape.png

# Use exact dimensions
python ~/.claude/skills/imagen-qwen/scripts/generate_image.py --size 1280*720 "Custom size" custom.png

Size Presets

Qwen-Image 2.0 (native 2K):

```
1:1
```
-> 2048x2048 (default)
```
16:9
```
-> 2688x1536
```
9:16
```
-> 1536x2688
```
4:3
```
-> 2304x1728
```
3:4
```
-> 1728x2304
```
1K
```
-> 1024x1024
```
2K
```
-> 2048x2048

Qwen-Image legacy:

```
1:1
```
-> 1328x1328
```
16:9
```
-> 1664x928
```
9:16
```
-> 928x1664
```
4:3
```
-> 1472x1104
```
3:4
```
-> 1104x1472

Wan Series (Wan2.7 also accepts

1K

/
2K
/
4K
):

```
1:1
```
-> 1024x1024
```
1:1-large
```
-> 1280x1280
```
16:9
```
-> 1280x720
```
9:16
```
-> 720x1280
```
4:3
```
-> 1200x900
```
3:4
```
-> 900x1200
```
2:1
```
-> 1440x720

Advanced Options

# With negative prompt
python ~/.claude/skills/imagen-qwen/scripts/generate_image.py --negative "blurry, low quality" "High quality portrait" portrait.png

# List all models
python ~/.claude/skills/imagen-qwen/scripts/generate_image.py --list-models

Requirements

pip install dashscope requests

Environment Variables

# Required - Alibaba Cloud Bailian API Key
export DASHSCOPE_API_KEY="your_api_key"

# Optional - Set default model
export DASHSCOPE_MODEL="wan2.7-image-pro"

# Optional - Set API endpoint (default: China)
export DASHSCOPE_API_BASE="cn"  # or full URL

Get API Key: https://bailian.console.aliyun.com/

API Endpoints

Region	Alias	URL
China (default)	`cn`	`https://dashscope.aliyuncs.com/api/v1`
Singapore	`sg`	`https://dashscope-intl.aliyuncs.com/api/v1`
Virginia	`us`	`https://dashscope-us.aliyuncs.com/api/v1`

# Switch to Singapore endpoint
export DASHSCOPE_API_BASE="sg"

# Or use full URL
export DASHSCOPE_API_BASE="https://dashscope-intl.aliyuncs.com/api/v1"

Model Selection Guide

Use Case	Recommended Model
General high-quality (default)	`qwen-image-2.0-pro`
Chinese text/calligraphy	`qwen-image-2.0-pro`
English text on images	`qwen-image-2.0-pro`
Posters with typography	`qwen-image-2.0-pro`
Photorealistic photos (4K)	`wan2.7-image-pro`
Photorealistic photos (2K)	`wan2.7-image`
Portrait photography	`wan2.7-image-pro`
Fast generation	`wan2.2-t2i-flash`
Lower-cost text rendering	`qwen-image-plus`

Comparison with Imagen (Gemini)

Feature	Imagen-Qwen (Bailian)	Imagen (Gemini)
Chinese text rendering	Excellent	Good
English text rendering	Excellent	Good
Photorealistic images	Excellent	Good
Speed	Medium	Fast
Model variety	14 models	3 models
Max resolution	4K (Wan2.7-Pro)	2K

Examples

Chinese New Year Poster

python ~/.claude/skills/imagen-qwen/scripts/generate_image.py \
  "A beautiful Chinese New Year poster with red background, golden text, fireworks and firecrackers" \
  new_year_poster.png

Photorealistic Landscape (4K)

python ~/.claude/skills/imagen-qwen/scripts/generate_image.py \
  --model wan2.7-image-pro \
  --size 4K \
  "Breathtaking sunset over mountain range, golden hour, professional photography" \
  landscape.png

Product Shot

python ~/.claude/skills/imagen-qwen/scripts/generate_image.py \
  --model wan2.7-image \
  --size 2K \
  "Professional product photography of a coffee cup on marble surface, studio lighting" \
  product.png