UniImage — 统一多平台 AI 图片生成
Multi-platform AI image generation skill for OpenClaw. Supports switching between providers via a dropdown model selector on the paint page.
Supported Platforms
| Model ID | Display Name | Provider | Description |
|---|---|---|---|
doubao-seedream-5-0-260128 | Seedream 5.0 | Volcengine Ark | 多角色超强一致性，中文处理能力极强 |
qwen-image-plus | Qwen Image | Alibaba DashScope | 单图一致性强，适合中文相关的多图处理场景 |
gemini-3-pro-image-preview | 香蕉 Pro | Google Gemini | 最强修图模型，适合电商和专业设计 |
gemini-3.1-flash-image-preview | 香蕉 V2 | Google Gemini | 最新香蕉模型，极致速度和超高性价比 |
Architecture
Renderer (paint page)
↓ fetch(/v1/images/generations)
↓ [fetch interceptor rewrites URL + model]
UniImage Proxy (port 18800)
├── Volcengine Ark API (Seedream)
├── DashScope API (Qwen Image, async poll)
└── Google Gemini API (Nano Banana)
Files
uni-image-proxy.js— HTTP proxy server with multi-provider routinguni-image-inject.js— Renderer injection script (fetch wrapper + model selector UI)SKILL.md— This skill manifest
Configuration
Configure API keys via the 🔑 button on the paint page, or set environment variables:
# Volcengine Ark (Seedream)
ARK_API_KEY=your-volcengine-key
# Alibaba DashScope (Qwen Image)
DASHSCOPE_IMAGE_KEY=your-dashscope-key
# Google AI (Nano Banana / Gemini)
GOOGLE_API_KEY=your-google-api-key
Keys are stored in ~/.openclaw-dev/uni-image-config.json.
Usage
- Navigate to the 绘画助手 (Paint) page
- Select a model from the 模型平台 dropdown
- Click 🔑 to configure the API key for the selected provider
- Enter a prompt and generate images
Run (CLI)
# Seedream (default)
node {baseDir}/../../uni-image-proxy.js &
curl -X POST http://127.0.0.1:18800/v1/images/generations \
-H "Content-Type: application/json" \
-d '{"model":"doubao-seedream-5-0-260128","prompt":"a cute cat","size":"1024x1024"}'
# Qwen Image
curl -X POST http://127.0.0.1:18800/v1/images/generations \
-H "Content-Type: application/json" \
-d '{"model":"qwen-image-plus","prompt":"a cute cat","size":"1024*1024"}'
# Google Gemini (Nano Banana)
curl -X POST http://127.0.0.1:18800/v1/images/generations \
-H "Content-Type: application/json" \
-d '{"model":"gemini-3.1-flash-image-preview","prompt":"a cute cat"}'