Imagencn
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
- Skill ID
- agents365-ai/365-skills/imagencn
- Publisher
- agents365-ai
- Repository
- 365-skills
- Installs
- 0
- Files
- 12
- Synced
- Sep 23, 2026
Open any RiverX project, open the Skills panel in the chat, and search for this identifier. The files are fetched from the source repository at install time.
agents365-ai/365-skills/imagencnInstalls these files- SKILL.md
- scripts/bfl.py
- scripts/gemini.py
- scripts/generate_image.py
- scripts/grok.py
- scripts/hunyuan.py
- scripts/openai_img.py
- scripts/providers/__init__.py
- scripts/providers/base.py
- scripts/stepfun.py
- scripts/volcano_ark.py
- scripts/zhipu.py
What this skill tells the agent
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.htmlThis 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) |
More from agents365-ai
Use this skill in a project
Open any RiverX project, search the Skills panel for agents365-ai/365-skills/imagencn, and install it in one click.
