| name | imagencn |
| description | Multi-platform AI image generation via DashScope/Ark/Hunyuan/Zhipu/StepFun plus Grok/OpenAI/Gemini/FLUX (international), specializing in Chinese text rendering and photorealistic images |
| author | Agents365-ai |
| version | 1.3.0 |
| created | 2024-12-01T00:00:00.000Z |
| updated | 2026-08-08T00:00:00.000Z |
| homepage | https://github.com/Agents365-ai/imagenCN |
| metadata | {"openclaw":{"requires":{"bins":"[Truncated]","env":"[Truncated]"},"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 nine platforms across fourteen 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 / 3.1 Flash Image (generateContent REST)
- Grok / xAI (international): Grok Imagine (OpenAI-compatible REST)
- OpenAI (international): GPT Image 1 / 2 (Images API)
- Black Forest Labs / FLUX (international): FLUX.2 Pro / Max (async 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, Grok / xAI, OpenAI / GPT Image, FLUX / Black Forest Labs
- User wants an international (non-China) image provider — use the Gemini / Grok / OpenAI / FLUX platforms
- 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 44 models across 9 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 |
gemini-3-pro-image | Stable flagship (Nano Banana Pro), 1K/2K/4K |
gemini-3.1-flash-image | Nano Banana 2: fast generalist, 512/1K/2K/4K, strong text rendering |
gemini-3.1-flash-lite-image | Nano Banana 2 Lite: fastest/cheapest, 1K only |
Grok / xAI - International (OpenAI-compatible API)
| Model | Description |
|---|
grok-imagine-image-quality | Grok default. High-quality Grok image model, aspect-ratio + resolution presets (up to 4K) |
grok-imagine-image | Standard Grok image model (alias grok-imagine-image-2026-03-02) |
grok-2-image | Legacy JPG model, no size control |
OpenAI - GPT Image (Images API)
| Model | Description |
|---|
gpt-image-1 | OpenAI default. Multimodal image model; 1024x1024 / 1536x1024 / 1024x1536 only |
gpt-image-1-mini | Fast, cheap GPT image variant |
gpt-image-1.5 | Improved GPT image generation quality |
gpt-image-2 | Latest flagship; arbitrary WxH sizes (edges divisible by 16) up to 4K |
Black Forest Labs / FLUX - International (async REST API)
FLUX uses an asynchronous API: submit a request, poll for completion, then
save. Prompt upsampling is built in (disable with disable_pup when needed).
| Model | Description |
|---|
flux-2-pro-preview | FLUX default. Latest rolling FLUX.2 Pro, recommended for new use cases |
flux-2-pro | Fixed snapshot of FLUX.2 Pro for reproducible workflows |
flux-2-max | Highest quality FLUX.2, search-grounding for real-time information |
FLUX 3: image generation is not yet publicly available via API (early
access only, no public endpoint as of Aug 2026). Watch bfl.ai for the
general release.
Usage
Basic Usage
python ~/.claude/skills/imagencn/scripts/generate_image.py "A cute cat" output.png
python ~/.claude/skills/imagencn/scripts/generate_image.py --model wan2.7-image-pro --size 4K "Realistic photo of mountains at sunset" photo.png
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
python ~/.claude/skills/imagencn/scripts/generate_image.py --size 16:9 "Wide landscape" landscape.png
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 / 4K -> named output size (4K on Pro / 3.1 Flash; Lite is 1K only)
1:1, 16:9, 9:16, 4:3, 3:4 -> aspect ratio (no exact pixel sizes)
Grok / xAI (aspect ratio + resolution):
1:1, 16:9, 9:16, 4:3, 3:4, 2:1 -> sent as aspect_ratio (default: 1:1)
1K / 2K / 4K -> sent as resolution
OpenAI (GPT Image):
1:1 -> 1024x1024 (default)
16:9 -> 1536x1024, 9:16 -> 1024x1536
4:3 -> 1344x1024, 3:4 -> 1024x1344
1K -> 1024x1024, 2K -> 2048x2048 (gpt-image-2 only), 4K -> 3840x2160 (gpt-image-2 only)
FLUX (Black Forest Labs):
1:1 -> 1024x1024 (default)
16:9 -> 1344x768, 9:16 -> 768x1344
4:3 -> 1152x864, 3:4 -> 864x1152
2:1 -> 1440x720, 1:2 -> 720x1440
1K -> 1024x1024, 2K -> 2048x2048 (flexible WxH also accepted)
Advanced Options
python ~/.claude/skills/imagencn/scripts/generate_image.py --negative "blurry, low quality" "High quality portrait" portrait.png
python ~/.claude/skills/imagencn/scripts/generate_image.py --no-extend "A photorealistic cat" cat.png
python ~/.claude/skills/imagencn/scripts/generate_image.py --seed 42 "A cat" cat.png
python ~/.claude/skills/imagencn/scripts/generate_image.py --platform openai --quality high "A cat" cat.png
python ~/.claude/skills/imagencn/scripts/generate_image.py --platform ark --guidance-scale 7.5 "Portrait" portrait.png
python ~/.claude/skills/imagencn/scripts/generate_image.py --platform ark --no-watermark "Artwork" art.png
python ~/.claude/skills/imagencn/scripts/generate_image.py --platform hunyuan --revise 0 "A cat" cat.png
python ~/.claude/skills/imagencn/scripts/generate_image.py --platform hunyuan --logo 1 "Poster" poster.png
python ~/.claude/skills/imagencn/scripts/generate_image.py --dry-run --platform ark "Test prompt"
python ~/.claude/skills/imagencn/scripts/generate_image.py --list-models
Requirements
pip install dashscope requests
pip install rich
Environment Variables
export DASHSCOPE_API_KEY="your_api_key"
export DASHSCOPE_MODEL="wan2.7-image-pro"
export DASHSCOPE_API_BASE="cn"
export ARK_API_KEY="your_api_key"
export ARK_MODEL="doubao-seedream-5-0-260128"
export HUNYUAN_API_KEY="your_api_key"
export HUNYUAN_MODEL="hy-image-v3.0"
export ZHIPUAI_API_KEY="your_api_key"
export ZHIPUAI_MODEL="cogview-4"
export STEP_API_KEY="your_api_key"
export STEP_MODEL="step-2x-large"
export GEMINI_API_KEY="your_api_key"
export GEMINI_MODEL="gemini-3-pro-image-preview"
XAI_API_KEY=
XAI_MODEL=
OPENAI_API_KEY=
OPENAI_MODEL=
BFL_API_KEY=
BFL_MODEL=
Get API Keys:
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.json in current directory)
- User config (
~/.imagencn.json)
- Environment variables (
DASHSCOPE_MODEL, ARK_MODEL, HUNYUAN_MODEL, ZHIPUAI_MODEL, STEP_MODEL, GEMINI_MODEL, XAI_MODEL, OPENAI_MODEL, BFL_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 |
export DASHSCOPE_API_BASE="sg"
export DASHSCOPE_API_BASE="https://dashscope-intl.aliyuncs.com/api/v1"
Model Selection Guide
Quick Pick — You Only Need Nine
| 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 |
| International / Grok | grok-imagine-image-quality | Grok / xAI |
| International / OpenAI | gpt-image-1 | OpenAI |
| International / FLUX | flux-2-pro-preview | Black Forest Labs |
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 | Grok | OpenAI | FLUX |
|---|
| Best for | Text, variety | Photo+text | Complex CN | CN text in image | Ultra-cheap | International | International | International | International |
| Max res | 4K | 4K | 2K | 2K | 1K | 4K | 4K | 4K (gpt-image-2) | 2K |
| SDK | dashscope | None | None | None | None | None | None | None | None |
| Price | Varies | ~0.22 | ~0.20 | ~0.06 | ~0.02 | ~$0.13 | ~$0.14 | ~$0.04 | ~$0.03 |
| Env var | DASHSCOPE_API_KEY | ARK_API_KEY | HUNYUAN_API_KEY | ZHIPUAI_API_KEY | STEP_API_KEY | GEMINI_API_KEY | XAI_API_KEY | OPENAI_API_KEY | BFL_API_KEY |
Examples
Volcano Ark (ByteDance)
ARK_API_KEY="xxx" python scripts/generate_image.py \
--platform ark \
"A vibrant close-up editorial portrait, Vogue magazine cover style" \
portrait.png
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
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
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)
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
Grok / xAI (international)
XAI_API_KEY="xxx" python scripts/generate_image.py \
--platform grok --size 16:9 \
"A cinematic cyberpunk city street at night, neon reflections" \
city.png
OpenAI (international)
OPENAI_API_KEY="xxx" python scripts/generate_image.py \
--platform openai --quality high \
"Minimalist product shot of a ceramic teapot on linen, soft studio light" \
teapot.png
Black Forest Labs / FLUX (international)
BFL_API_KEY="xxx" python scripts/generate_image.py \
--platform bfl --size 16:9 \
"A dramatic volcanic coastline at dusk, long exposure photography" \
coast.png
BFL_API_KEY="xxx" python scripts/generate_image.py \
--platform bfl --model flux-2-pro --seed 42 \
"An astronaut walking through a bioluminescent jungle" \
jungle.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