chore: add missing READMEs

builds/io-paint/.env.example

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+# Docker registry
+DOCKER_REGISTRY=docker.io
+
+# Build version
+BUILD_VERSION=1.6.0
+
+# Hugging Face Endpoint, optional for China users
+# HF_ENDPOINT=https://hf-mirror.com

builds/io-paint/.gitignore

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+/models

builds/io-paint/Dockerfile

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+FROM pytorch/pytorch:2.6.0-cuda12.4-cudnn9-runtime
+ARG DEBIAN_FRONTEND=noninteractive
+ARG VERSION=1.6.0
+
+WORKDIR /workspace
+
+RUN apt-get update && apt-get install -y --no-install-recommends \
+    software-properties-common \
+    libsm6 libxext6 ffmpeg libfontconfig1 libxrender1 libgl1-mesa-glx \
+    curl python3-pip
+RUN apt-get clean && \
+    rm -rf /var/lib/apt/lists/*
+
+RUN python3 -m pip install --upgrade pip
+RUN pip3 install iopaint==${VERSION} && pip3 cache purge
+
+EXPOSE 8080
+CMD ["iopaint", "start", "--model=lama", "--device=cuda", "--port=8080", "--host=0.0.0.0"]

builds/io-paint/README.md

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+# IOPaint (Lama Cleaner)
+
+[English](./README.md) | [中文](./README.zh.md)
+
+IOPaint (formerly LaMa Cleaner) is a free and open-source inpainting & outpainting tool powered by SOTA AI model.
+
+## Prerequisites
+
+- NVIDIA GPU with CUDA support
+- Docker with NVIDIA runtime support
+
+## Initialization
+
+1. Copy the example environment file:
+
+   ```bash
+   cp .env.example .env
+   ```
+
+2. Start the service:
+
+   ```bash
+   docker compose up -d
+   ```
+
+3. Access the web interface at <http://localhost:8080>
+
+## Services
+
+- `iopaint`: The IOPaint service.
+
+## Configuration
+
+The service runs on port 8080 and uses CUDA device 0 by default.
+
+| Variable          | Description                      | Default     |
+| ----------------- | -------------------------------- | ----------- |
+| `DOCKER_REGISTRY` | Docker registry to use           | `docker.io` |
+| `BUILD_VERSION`   | Build version                    | `latest`    |
+| `HF_ENDPOINT`     | Hugging Face endpoint (optional) | -           |
+
+## Models
+
+Models are automatically downloaded and cached in the `./models` directory on first use.
+
+## GPU Support
+
+This configuration requires an NVIDIA GPU and uses CUDA device 0. Make sure you have:
+
+- NVIDIA drivers installed
+- Docker with NVIDIA runtime support
+- nvidia-docker2 package installed
+
+## Reference
+
+- [Dockerfile](https://github.com/Sanster/IOPaint/blob/main/docker/GPUDockerfile)
+
+## License
+
+Please refer to the official IOPaint project for license information.

builds/io-paint/README.zh.md

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+# IOPaint (Lama Cleaner)
+
+[English](./README.md) | [中文](./README.zh.md)
+
+IOPaint（原 LaMa Cleaner）是一个由最先进的 AI 模型驱动的免费开源图像修复和扩展工具。
+
+## 先决条件
+
+- 支持 CUDA 的 NVIDIA GPU
+- 支持 NVIDIA 运行时的 Docker
+
+## 初始化
+
+1. 复制示例环境文件：
+
+   ```bash
+   cp .env.example .env
+   ```
+
+2. 启动服务：
+
+   ```bash
+   docker compose up -d
+   ```
+
+3. 在 <http://localhost:8080> 访问 Web 界面
+
+## 服务
+
+- `iopaint`: IOPaint 服务。
+
+## 配置
+
+服务默认在端口 8080 运行，使用 CUDA 设备 0。
+
+| 变量              | 描述                      | 默认值      |
+| ----------------- | ------------------------- | ----------- |
+| `DOCKER_REGISTRY` | 使用的 Docker 镜像仓库    | `docker.io` |
+| `BUILD_VERSION`   | 构建版本                  | `latest`    |
+| `HF_ENDPOINT`     | Hugging Face 端点（可选） | -           |
+
+## 模型
+
+模型在首次使用时会自动下载并缓存在 `./models` 目录中。
+
+## GPU 支持
+
+此配置需要 NVIDIA GPU 并使用 CUDA 设备 0。确保你已安装：
+
+- NVIDIA 驱动程序
+- 支持 NVIDIA 运行时的 Docker
+- nvidia-docker2 软件包
+
+请参考官方 IOPaint 项目的许可信息。

builds/io-paint/docker-compose.yaml

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+x-defaults: &defaults
+  restart: unless-stopped
+  logging:
+    driver: json-file
+    options:
+      max-size: 100m
+      max-file: "3"
+
+services:
+  lama-cleaner:
+    <<: *defaults
+    image: ${DOCKER_REGISTRY:-docker.io}/local/lama-cleaner:${BUILD_VERSION:-1.6.0}
+    ports:
+      - 8080:8080
+    build:
+      context: .
+      dockerfile: Dockerfile
+    environment:
+      TZ: ${TZ:-UTC}
+      HF_ENDPOINT: ${HF_ENDPOINT:-}
+    volumes:
+      - ./models:/root/.cache
+    command:
+      - iopaint
+      - start
+      - --model=lama
+      - --device=cuda
+      - --port=8080
+      - --host=0.0.0.0
+    deploy:
+      resources:
+        limits:
+          cpus: '2.0'
+          memory: 4G
+        reservations:
+          cpus: '1.0'
+          memory: 2G
+          devices:
+            - driver: nvidia
+              device_ids: ['0']
+              capabilities: [compute, utility]
+    healthcheck:
+      test: ["CMD", "wget", "--no-verbose", "--tries=1", "--spider", "http://localhost:8080/"]
+      interval: 30s
+      timeout: 10s
+      retries: 3
+      start_period: 60s