ImagenCN
AI image generation via 5 Chinese platforms — DashScope, Volcano Ark, Hunyuan, Zhipu, StepFun — 30 models, Chinese text excellence
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Multi-platform AI image generation via DashScope/Ark/Hunyuan/Zhipu/StepFun plus Google Gemini (international), specializing in Chinese text rendering and photorealistic images
SKILL.md
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ImagenCN - Multi-Cloud Text-to-Image Skill
Overview
imagenCN — Image Generation, Cloud-Native: one CLI, every image cloud. The project started with China-friendly clouds and now covers international providers as well.
Generate images using Alibaba Cloud Bailian API. Default endpoint is China region.
Supports six platforms across ten model families:
- Alibaba Cloud Bailian (DashScope): Qwen-Image 2.0, Qwen-Image Edit, Qwen-Image legacy, Wan Series, Z-Image
- ByteDance Volcano Ark: Doubao-Seedream series (OpenAI-compatible REST)
- Tencent Hunyuan: Hunyuan Image 3.0 (OpenAI-compatible REST)
- Zhipu / BigModel: CogView-4 and GLM-Image (OpenAI-compatible REST)
- StepFun / 阶跃星辰: Step-2X and Step-Image-Edit (OpenAI-compatible REST)
- Google Gemini (international): Gemini 3 Pro Image (generateContent REST)
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 mentions any of these: Alibaba Cloud / Bailian / Qwen / Wan / DashScope, ByteDance / Volcano Ark / Seedream / Doubao, Tencent / Hunyuan, Google / Gemini / Nano Banana
- User wants an international (non-China) image provider — use the Gemini platform
- Any task where AI-generated image with strong Chinese support would be helpful
Model Reference
When the user wants to compare models, check pricing, or browse options before choosing, open the local model reference page in their browser:
open ~/.claude/skills/imagenCN/docs/models.html
This page shows all 31 models across 6 platforms with pricing, resolution,
feature highlights, and a quick-reference guide. On Linux use xdg-open;
the file also works from file:// with no server needed.
Workflow
Step 1 — Refine the prompt (interactive, never skip)
Users often give short, casual descriptions ("生成一只猫"). Before calling the API, present 3 refined prompt options with different style directions. Add, as appropriate:
- Subject details (shape, colour, material, expression, pose)
- Lighting (golden hour, studio, rim light, soft diffused, neon, cinematic)
- Composition (rule of thirds, shallow depth of field, wide shot, close-up)
- Style / medium (photorealistic, oil painting, watercolour, 3D render, vector)
- Mood / atmosphere (serene, dramatic, whimsical, dystopian, elegant)
- Quality keywords (8K, hyperdetailed, award-winning, professional photography)
- For Chinese text on images: text content, placement, font style, colour, size
Label the options clearly (e.g. A / B / C) with a one-line summary of each direction. Let the user pick one, combine elements from multiple, or request a new direction. Iterate until they confirm ("go", "generate", "ok", etc.), then proceed to generation.
Step 2 — Pick a model
Choose based on the request (see Model Selection Guide below). Default to
qwen-image-2.0-pro if unsure. Mention your choice to the user.
Step 3 — Pick a size
Native 2K for Qwen-Image 2.0, 1K/2K/4K for Wan2.7, or an aspect-ratio
preset (16:9, 1:1, etc.).
Step 4 — Generate
Run scripts/generate_image.py with the confirmed prompt and output path.
Step 5 — Save
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-pro-2026-06-22 | Latest snapshot (Jun 2026): generation + editing fusion, better text rendering and prompt adherence |
qwen-image-2.0 | Standard 2.0 tier, native 2K |
qwen-image-max | Previous-gen flagship (Dec 2025) |
qwen-image-max-2025-12-30 | qwen-image-max snapshot: improved realism, fewer AI artifacts |
Qwen-Image Edit family - Image Editing (MultiModalConversation API)
Editing models require an input image via --image (local path or URL). Omit --size to match the input image dimensions.
| Model | Description |
|---|---|
qwen-image-edit-max | Flagship editing model, strongest instruction following |
qwen-image-edit-max-2026-01-16 | Latest max snapshot (Jan 2026) |
qwen-image-edit-plus | Faster, lower-cost editing |
Qwen-Image legacy (ImageSynthesis API)
| Model | Description |
|---|---|
qwen-image-plus | Distilled accelerated version of qwen-image-max |
qwen-image-plus-2026-01-09 | qwen-image-plus snapshot (Jan 2026): faster high-quality generation |
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 |
Z-Image - Lightweight & Fast (MultiModalConversation API)
| Model | Description |
|---|---|
z-image-turbo | Fast, low-cost generation; bilingual (CN/EN) text rendering, high-fidelity portraits and product images. Pixel area 512x512 to 2048x2048 |
Volcano Ark - ByteDance Seedream (OpenAI-compatible API)
| Model | Description |
|---|---|
doubao-seedream-5-0-260128 | Ark default. Latest, up to 3K, PNG/JPEG output, best text rendering |
doubao-seedream-4-5-251128 | Seedream 4.5, up to 4K |
doubao-seedream-4-0-250828 | Seedream 4.0, up to 4K, budget-friendly |
Tencent Hunyuan (OpenAI-compatible API)
| Model | Description |
|---|---|
hy-image-v3.0 | Hunyuan default. Flagship 3.0, strong composition awareness, handles complex Chinese prompts up to 8K chars |
Zhipu / BigModel - CogView-4 & GLM-Image (OpenAI-compatible API)
| Model | Description |
|---|---|
cogview-4 | Zhipu default. Stable alias for latest CogView-4, native Chinese text rendering |
cogview-4-250304 | CogView-4 fixed snapshot (Mar 2025), reproducible results |
glm-image | GLM-Image flagship, up to 2048x2048, hybrid autoregressive/diffusion |
StepFun / 阶跃星辰 - Step-2X (OpenAI-compatible API)
| Model | Description |
|---|---|
step-2x-large | StepFun default. High quality (0.1 RMB/image), up to 1024x1024 |
step-image-edit-2 | Fast & cheap (0.02 RMB/image), supports negative prompts, 8 inference steps |
Google Gemini - International (generateContent API)
| Model | Description |
|---|---|
gemini-3-pro-image-preview | Gemini default. Google flagship image model, 512/1K/2K named sizes plus aspect-ratio presets |
Usage
Basic Usage
# Default model (qwen-image-2.0-pro, native 2K output)
python ~/.claude/skills/imagenCN/scripts/generate_image.py "A cute cat" output.png
# Photorealistic with Wan model (Wan2.7 supports 4K)
python ~/.claude/skills/imagenCN/scripts/generate_image.py --model wan2.7-image-pro --size 4K "Realistic photo of mountains at sunset" photo.png
# Edit an existing image (requires --image; local path or URL)
python ~/.claude/skills/imagenCN/scripts/generate_image.py --model qwen-image-edit-max --image input.png "Change the background to a beach at sunset" edited.png
Size Options
# Use ratio preset
python ~/.claude/skills/imagenCN/scripts/generate_image.py --size 16:9 "Wide landscape" landscape.png
# Use exact dimensions
python ~/.claude/skills/imagenCN/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-> 2688x15369:16-> 1536x26884:3-> 2304x17283:4-> 1728x23041K-> 1024x10242K-> 2048x2048
Qwen-Image legacy:
1:1-> 1328x132816:9-> 1664x9289:16-> 928x16644:3-> 1472x11043:4-> 1104x1472
Z-Image (pixel area 512x512 to 2048x2048):
1:1-> 1024x1024 (default)16:9-> 1280x7209:16-> 720x12802:3-> 1024x15363:2-> 1536x10241K-> 1024x1024
Wan Series (Wan2.7 also accepts 1K/2K/4K):
1:1-> 1024x10241:1-large-> 1280x128016:9-> 1280x7209:16-> 720x12804:3-> 1200x9003:4-> 900x12002:1-> 1440x720
Volcano Ark (Seedream):
1:1-> 2048x204816:9-> 2848x16009:16-> 1600x28484:3-> 2304x17283:4-> 1728x23043:2-> 2496x16642:3-> 1664x24961K/2K/3K/4K(model-dependent max resolution)
Tencent Hunyuan (colon-separated format):
1:1-> 1024:102416:9-> 1920:10809:16-> 1080:19204:3-> 1600:12003:4-> 1200:1600
Zhipu (CogView-4 / GLM-Image):
1:1-> 1024x1024 (default)16:9-> 1344x7689:16-> 768x13444:3-> 1152x8643:4-> 864x11522:1-> 1440x7201:2-> 720x1440
StepFun (Step-2X):
1:1-> 1024x1024 (default)1:1-small-> 512x51216:9-> 1280x8009:16-> 800x1280
Google Gemini (named sizes + aspect ratios):
512/1K(default) /2K-> named output size1:1,16:9,9:16,4:3,3:4-> aspect ratio (no exact pixel sizes)
Advanced Options
# With negative prompt
python ~/.claude/skills/imagenCN/scripts/generate_image.py --negative "blurry, low quality" "High quality portrait" portrait.png
# Disable automatic prompt extension (DashScope only)
python ~/.claude/skills/imagenCN/scripts/generate_image.py --no-extend "A photorealistic cat" cat.png
# Set random seed for reproducibility
python ~/.claude/skills/imagenCN/scripts/generate_image.py --seed 42 "A cat" cat.png
# Guidance scale (Volcano Ark only)
python ~/.claude/skills/imagenCN/scripts/generate_image.py --platform ark --guidance-scale 7.5 "Portrait" portrait.png
# Disable watermark (Volcano Ark only)
python ~/.claude/skills/imagenCN/scripts/generate_image.py --platform ark --no-watermark "Artwork" art.png
# Auto-enhance prompt on/off (Tencent Hunyuan only, --revise 0=off 1=on)
python ~/.claude/skills/imagenCN/scripts/generate_image.py --platform hunyuan --revise 0 "A cat" cat.png
# Add AI logo (Tencent Hunyuan only, --logo 0=no 1=yes)
python ~/.claude/skills/imagenCN/scripts/generate_image.py --platform hunyuan --logo 1 "Poster" poster.png
# Dry run (preview without making API call)
python ~/.claude/skills/imagenCN/scripts/generate_image.py --dry-run --platform ark "Test prompt"
# List all models
python ~/.claude/skills/imagenCN/scripts/generate_image.py --list-models
Requirements
pip install dashscope requests
# Optional: for coloured output and styled tables
pip install rich
Environment Variables
# Alibaba Cloud Bailian (DashScope)
export DASHSCOPE_API_KEY="your_api_key" # Required
export DASHSCOPE_MODEL="wan2.7-image-pro" # Optional default model
export DASHSCOPE_API_BASE="cn" # Optional: cn, sg, us
# ByteDance Volcano Ark
export ARK_API_KEY="your_api_key" # Required for Ark
export ARK_MODEL="doubao-seedream-5-0-260128" # Optional default model
# Tencent Hunyuan (TokenHub)
export HUNYUAN_API_KEY="your_api_key" # Required for Hunyuan
export HUNYUAN_MODEL="hy-image-v3.0" # Optional default model
# Zhipu / BigModel
export ZHIPUAI_API_KEY="your_api_key" # Required for Zhipu
export ZHIPUAI_MODEL="cogview-4" # Optional default model
# StepFun / 阶跃星辰
export STEP_API_KEY="your_api_key" # Required for StepFun
export STEP_MODEL="step-2x-large" # Optional default model
# Google Gemini (international)
export GEMINI_API_KEY="your_api_key" # Required for Gemini
export GEMINI_MODEL="gemini-3-pro-image-preview" # Optional default model
Get API Keys:
- DashScope: https://bailian.console.aliyun.com/
- Volcano Ark: https://console.volcengine.com/ark/region:ark+cn-beijing/apikey
- Tencent Hunyuan: https://console.cloud.tencent.com/tokenhub/apikey
- Zhipu: https://bigmodel.cn
- StepFun: https://platform.stepfun.com/interface-key
- Google Gemini: https://aistudio.google.com/
Config File (Optional)
Create ~/.imagenCN.json for personal defaults, or .imagenCN.json in a project
directory for per-project overrides. API keys stay in environment variables for
security.
{
"platform": "ark",
"model": "doubao-seedream-5-0-260128",
"size": "2K"
}
All keys are optional. Priority (highest first):
- CLI arguments (
--platform,--model,--size) - Project config (
.imagenCN.jsonin current directory) - User config (
~/.imagenCN.json) - Environment variables (
DASHSCOPE_MODEL,ARK_MODEL,HUNYUAN_MODEL,ZHIPUAI_MODEL,STEP_MODEL,GEMINI_MODEL) - Built-in defaults
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
Quick Pick — You Only Need Eight
| What you want | Model | Platform |
|---|---|---|
| Default / general (posters, text) | qwen-image-2.0-pro | DashScope |
| Photorealistic (portraits, landscapes) | wan2.7-image-pro | DashScope |
| Edit an image | qwen-image-edit-max | DashScope |
| Cheap & fast | z-image-turbo | DashScope |
| Photo + text combo | doubao-seedream-5-0-260128 | Volcano Ark |
| Complex Chinese composition | hy-image-v3.0 | Tencent Hunyuan |
| Chinese text in images | cogview-4 | Zhipu |
| Ultra-cheap volume gen | step-image-edit-2 | StepFun |
| International (non-China) | gemini-3-pro-image-preview | Google Gemini |
All other models are legacy/snapshot variants.
Full Reference
| 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 |
| Image editing (best quality) | qwen-image-edit-max |
| Image editing (fast, low-cost) | qwen-image-edit-plus |
| Fast, low-cost generation | z-image-turbo |
| High-fidelity portraits / product shots (fast) | z-image-turbo |
| Fast photorealistic (Wan) | wan2.2-t2i-flash |
| Lower-cost text rendering | qwen-image-plus |
| ByteDance best quality | doubao-seedream-5-0-260128 |
| Budget-friendly 4K (ByteDance) | doubao-seedream-4-0-250828 |
| Complex Chinese prompts (Tencent) | hy-image-v3.0 |
Platform Quick Comparison
| Feature | DashScope | Ark | Hunyuan | Zhipu | StepFun | Gemini |
|---|---|---|---|---|---|---|
| Best for | Text, variety | Photo+text | Complex CN | CN text in image | Ultra-cheap | International |
| Max res | 4K | 4K | 2K | 2K | 1K | 2K |
| SDK | dashscope | None | None | None | None | None |
| Price | Varies | ~0.22 | ~0.20 | ~0.06 | ~0.02 | ~$0.13 |
| Env var | DASHSCOPE_API_KEY | ARK_API_KEY | HUNYUAN_API_KEY | ZHIPUAI_API_KEY | STEP_API_KEY | GEMINI_API_KEY |
Examples
Volcano Ark (ByteDance)
# Default Ark model (Seedream 5.0)
ARK_API_KEY="xxx" python scripts/generate_image.py \
--platform ark \
"A vibrant close-up editorial portrait, Vogue magazine cover style" \
portrait.png
# With 4K output
ARK_API_KEY="xxx" python scripts/generate_image.py \
--platform ark --model doubao-seedream-4-5-251128 --size 4K \
"Breathtaking mountain sunset, golden hour, professional photography" \
landscape.png
Tencent Hunyuan
# Default Hunyuan model (Image 3.0)
HUNYUAN_API_KEY="xxx" python scripts/generate_image.py \
--platform hunyuan \
"An astronaut riding a horse on the moon, cinematic lighting, 8K detail" \
scifi.png
# With prompt auto-enhance disabled
HUNYUAN_API_KEY="xxx" python scripts/generate_image.py \
--platform hunyuan --revise 0 \
"A cute orange cat napping in sunlight, oil painting style" \
cat.png
Google Gemini (international)
# Default Gemini model (Gemini 3 Pro Image)
GEMINI_API_KEY="xxx" python scripts/generate_image.py \
--platform gemini --size 2K \
"A serene Japanese garden with koi pond, soft morning light" \
garden.png
Chinese New Year Poster (DashScope)
python ~/.claude/skills/imagenCN/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/imagenCN/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/imagenCN/scripts/generate_image.py \
--model wan2.7-image \
--size 2K \
"Professional product photography of a coffee cup on marble surface, studio lighting" \
product.png