imagencn v1.1.1A

Immutable. This exact content is served forever at /api/v1/blob/8d959af7feacc975.

---
name: imagencn
description: Multi-platform AI image generation via DashScope/Ark/Hunyuan/Zhipu/StepFun plus Google Gemini (international), specializing in Chinese text rendering and photorealistic images
author: Agents365-ai
version: 1.1.1
created: 2024-12-01
updated: 2026-07-16
homepage: https://github.com/Agents365-ai/imagenCN
metadata: {"openclaw":{"requires":{"bins":["python3"],"env":["DASHSCOPE_API_KEY"]},"primaryEnv":"DASHSCOPE_API_KEY","emoji":"🎨"}}
---

# 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:

```bash
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

```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

**Google Gemini (named sizes + aspect ratios):**
- `512` / `1K` (default) / `2K` -> named output size
- `1:1`, `16:9`, `9:16`, `4:3`, `3:4` -> aspect ratio (no exact pixel sizes)

### 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 / 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.

```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`, `GEMINI_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 — 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)
```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
```

### Google Gemini (international)
```bash
# 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)
```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
```