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Multi-platform AI image generation via DashScope/Ark/Hunyuan/Zhipu/StepFun, specializing in Chinese text rendering and photorealistic images
---
name: imagenCN
description: Multi-platform AI image generation via DashScope/Ark/Hunyuan/Zhipu/StepFun, specializing in Chinese text rendering and photorealistic images
author: Agents365-ai
created: 2024-12-01
updated: 2026-07-05
homepage: https://github.com/Agents365-ai/imagenCN
metadata: {"openclaw":{"requires":{"bins":["python3"],"env":["DASHSCOPE_API_KEY"]},"primaryEnv":"DASHSCOPE_API_KEY","emoji":"π¨"}}
---
# ImagenCN - Alibaba Cloud Bailian Text-to-Image Skill
## Overview
Generate images using Alibaba Cloud Bailian API. **Default endpoint is China region**.
Supports five platforms across nine 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 / ιΆθ·ζθΎ°**: Step-2X and Step-Image-Edit (OpenAI-compatible 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
- 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:
```bash
open ~/.claude/skills/imagenCN/docs/models.html
```
This page shows all 30 models across 5 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 β Refine the prompt (interactive, never skip)
Users often give short, casual descriptions ("ηζδΈεͺη«"). 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 β 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 β 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 β Generate
Run `scripts/generate_image.py` with the confirmed prompt and output path.
### Step 5 β 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 / ιΆθ·ζθΎ° - 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 |
## Usage
### Basic Usage
```bash
# 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
```bash
# 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` -> 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
**Z-Image (pixel area 512x512 to 2048x2048):**
- `1:1` -> 1024x1024 (default)
- `16:9` -> 1280x720
- `9:16` -> 720x1280
- `2:3` -> 1024x1536
- `3:2` -> 1536x1024
- `1K` -> 1024x1024
**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
**Volcano Ark (Seedream):**
- `1:1` -> 2048x2048
- `16:9` -> 2848x1600
- `9:16` -> 1600x2848
- `4:3` -> 2304x1728
- `3:4` -> 1728x2304
- `3:2` -> 2496x1664
- `2:3` -> 1664x2496
- `1K` / `2K` / `3K` / `4K` (model-dependent max resolution)
**Tencent Hunyuan (colon-separated format):**
- `1:1` -> 1024:1024
- `16:9` -> 1920:1080
- `9:16` -> 1080:1920
- `4:3` -> 1600:1200
- `3:4` -> 1200:1600
**Zhipu (CogView-4 / GLM-Image):**
- `1:1` -> 1024x1024 (default)
- `16:9` -> 1344x768
- `9:16` -> 768x1344
- `4:3` -> 1152x864
- `3:4` -> 864x1152
- `2:1` -> 1440x720
- `1:2` -> 720x1440
**StepFun (Step-2X):**
- `1:1` -> 1024x1024 (default)
- `1:1-small` -> 512x512
- `16:9` -> 1280x800
- `9:16` -> 800x1280
### Advanced Options
```bash
# 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
```bash
pip install dashscope requests
# Optional: for coloured output and styled tables
pip install rich
```
## Environment Variables
```bash
# 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 / ιΆθ·ζθΎ°
export STEP_API_KEY="your_api_key" # Required for StepFun
export STEP_MODEL="step-2x-large" # 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
## 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.
```json
{
"platform": "ark",
"model": "doubao-seedream-5-0-260128",
"size": "2K"
}
```
All keys are optional. Priority (highest first):
1. CLI arguments (`--platform`, `--model`, `--size`)
2. Project config (`.imagenCN.json` in current directory)
3. User config (`~/.imagenCN.json`)
4. Environment variables (`DASHSCOPE_MODEL`, `ARK_MODEL`, `HUNYUAN_MODEL`, `ZHIPUAI_MODEL`, `STEP_MODEL`)
5. 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` |
```bash
# 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 β 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 |
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 |
|---------|-----------|-----|---------|-------|--------|
| Best for | Text, variety | Photo+text | Complex CN | CN text in image | Ultra-cheap |
| Max res | 4K | 4K | 2K | 2K | 1K |
| SDK | `dashscope` | None | None | None | None |
| Price | Varies | ~0.22 | ~0.20 | ~0.06 | ~0.02 |
| Env var | `DASHSCOPE_API_KEY` | `ARK_API_KEY` | `HUNYUAN_API_KEY` | `ZHIPUAI_API_KEY` | `STEP_API_KEY` |
## Examples
### Volcano Ark (ByteDance)
```bash
# 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
```bash
# 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
```
### Chinese New Year Poster (DashScope)
```bash
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)
```bash
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
```bash
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
```
don't have the plugin yet? install it then click "run inline in claude" again.