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 IDDisplay NameProviderDescriptiondoubao-seedream-5-0-260128Seedream 5.0Volcengine Ark多角色超强一致性，中文处理能力极强qwen-image-plusQwen ImageAlibaba 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 ProGoogle Gemini最强修图模型，适合电商和专业设计gemini-3.1-flash-image-preview香蕉 V2Google Gemini最新香蕉模型，极致速度和超高性价比

Architecture#

text

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 routing
• uni-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:

bash

# 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#

1. Navigate to the 绘画助手 (Paint) page
2. Select a model from the 模型平台 dropdown
3. Click 🔑 to configure the API key for the selected provider
4. Enter a prompt and generate images

Run (CLI)#

bash

# 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"}'