feat(deploy): add Docker Compose self-hosted deployment option

Add multi-platform Docker image build (amd64 + arm64) with GitHub Actions
CI that pushes to GHCR on every merge to main. Users can self-host with
a single `docker compose up -d` command.

- Dockerfile: multi-stage build with Next.js standalone output (~150-200MB)
- docker-compose.yml: one-command self-hosted deployment
- .github/workflows/docker.yml: CI workflow with QEMU cross-compilation
- next.config.ts: conditional `output: "standalone"` via BUILD_STANDALONE env
- README (zh/en/ja): restructure deploy section to include Docker option

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

.dockerignore

@@ -0,0 +1,26 @@
+node_modules
+.pnpm-store
+.next
+.open-next
+.wrangler
+.vercel
+.turbo
+.claude
+.git
+
+dist
+build
+out
+
+.env
+.env.local
+.env.*.local
+.dev.vars
+
+.DS_Store
+*.log
+npm-debug.log*
+pnpm-debug.log*
+
+repomix-output.xml
+users.md

.github/workflows/docker.yml

@@ -0,0 +1,53 @@
+name: Build and push Docker image
+
+on:
+  push:
+    branches: [main]
+
+env:
+  REGISTRY: ghcr.io
+  IMAGE_NAME: ${{ github.repository }}
+
+jobs:
+  build-and-push:
+    runs-on: ubuntu-latest
+    permissions:
+      contents: read
+      packages: write
+
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v4
+
+      - name: Set up QEMU
+        uses: docker/setup-qemu-action@v3
+
+      - name: Set up Docker Buildx
+        uses: docker/setup-buildx-action@v3
+
+      - name: Log in to GHCR
+        uses: docker/login-action@v3
+        with:
+          registry: ${{ env.REGISTRY }}
+          username: ${{ github.actor }}
+          password: ${{ secrets.GITHUB_TOKEN }}
+
+      - name: Extract metadata
+        id: meta
+        uses: docker/metadata-action@v5
+        with:
+          images: ${{ env.REGISTRY }}/${{ env.IMAGE_NAME }}
+          tags: |
+            type=raw,value=latest
+            type=sha,prefix=sha-
+
+      - name: Build and push
+        uses: docker/build-push-action@v6
+        with:
+          context: .
+          platforms: linux/amd64,linux/arm64
+          push: true
+          tags: ${{ steps.meta.outputs.tags }}
+          labels: ${{ steps.meta.outputs.labels }}
+          cache-from: type=gha
+          cache-to: type=gha,mode=max

Dockerfile

@@ -0,0 +1,36 @@
+FROM node:22-alpine AS base
+RUN corepack enable && corepack prepare pnpm@9.12.0 --activate
+
+# --- deps: install production + dev dependencies (cached layer) ---
+FROM base AS deps
+WORKDIR /app
+COPY package.json pnpm-lock.yaml ./
+RUN pnpm install --frozen-lockfile
+
+# --- builder: build Next.js standalone output ---
+FROM base AS builder
+WORKDIR /app
+COPY --from=deps /app/node_modules ./node_modules
+COPY . .
+ENV NEXT_TELEMETRY_DISABLED=1
+ENV BUILD_STANDALONE=true
+RUN pnpm build
+
+# --- runner: minimal production image ---
+FROM node:22-alpine AS runner
+WORKDIR /app
+ENV NODE_ENV=production
+ENV NEXT_TELEMETRY_DISABLED=1
+ENV HOSTNAME=0.0.0.0
+ENV PORT=3000
+
+RUN addgroup --system --gid 1001 nodejs && \
+    adduser --system --uid 1001 nextjs
+
+COPY --from=builder --chown=nextjs:nodejs /app/public ./public
+COPY --from=builder --chown=nextjs:nodejs /app/.next/standalone ./
+COPY --from=builder --chown=nextjs:nodejs /app/.next/static ./.next/static
+
+USER nextjs
+EXPOSE 3000
+CMD ["node", "server.js"]

README.en.md

@@ -37,14 +37,36 @@ Free to play, no setup required: [infiplot.com](https://infiplot.com)
 
 ---
 
-## One-click deploy
+## Deploy
 
-InfiPlot deploys to both Vercel and Cloudflare Workers. Cloudflare deployment requires the Workers Paid Plan because the scene pipeline needs longer CPU time; for personal use, the one-click Vercel deploy is recommended.
+InfiPlot offers multiple deployment options. For personal use, we recommend the one-click Vercel deploy; to self-host on your own server or local machine, use Docker.
+
+### Vercel / Cloudflare (one-click)
+
+Cloudflare deployment requires the Workers Paid Plan because the scene pipeline needs longer CPU time.
 
 [![Deploy with Vercel](https://vercel.com/button)](https://vercel.com/new/clone?repository-url=https://github.com/zonghaoyuan/infiplot&env=TEXT_BASE_URL,TEXT_API_KEY,TEXT_MODEL,IMAGE_BASE_URL,IMAGE_API_KEY,IMAGE_MODEL,VISION_BASE_URL,VISION_API_KEY,VISION_MODEL,TTS_BASE_URL,TTS_API_KEY,TTS_SPEECH_MODEL,MOCK_IMAGE&envDescription=Three%20required%20providers%20%2B%20optional%20TTS.%20Any%20OpenAI-compatible%20endpoint%20works%20for%20text%2Fvision.%20TTS%20uses%20MiMo%27s%20own%20protocol.&envLink=https://github.com/zonghaoyuan/infiplot/blob/main/README.en.md%23configuration-guide)   [![Deploy to Cloudflare](https://deploy.workers.cloudflare.com/button)](https://deploy.workers.cloudflare.com/?url=https://github.com/zonghaoyuan/infiplot)
 
 After deploy, fill in the environment variables — see the [Configuration guide](#configuration-guide) below. The repo root is the app itself: Vercel needs no special root directory; on Cloudflare, just set the build command to `pnpm build:cf`.
 
+### Docker (self-hosted)
+
+For VPS, home servers, or local machines. Supports x86 and ARM (including Apple Silicon Macs).
+
+1. Copy `.env.example` to `.env.local` and fill in your API keys (see [Configuration guide](#configuration-guide))
+2. Start:
+
+```bash
+docker compose up -d
+```
+
+Visit `http://localhost:3000` to start playing.
+
+> You can also run the image directly without Compose:
+> ```bash
+> docker run -d -p 3000:3000 --env-file .env.local ghcr.io/zonghaoyuan/infiplot:latest
+> ```
+
 ---
 
 ## 📸 Screenshots

README.ja.md

@@ -37,14 +37,36 @@ InfiPlot は、AI がコンテンツをリアルタイムに生成するイン
 
 ---
 
-## ワンクリックデプロイ
+## デプロイ
 
-InfiPlot は Vercel と Cloudflare Workers の両方にデプロイできます。Cloudflare へのデプロイはシーンパイプラインがより長い CPU 時間を必要とするため、Workers Paid Plan が必要です。個人利用には Vercel のワンクリックデプロイをおすすめします。
+InfiPlot は複数のデプロイ方法に対応しています。個人利用には Vercel のワンクリックデプロイをおすすめします。自分のサーバーやローカルマシンで動かしたい場合は Docker を使ってください。
+
+### Vercel / Cloudflare（ワンクリック）
+
+Cloudflare へのデプロイはシーンパイプラインがより長い CPU 時間を必要とするため、Workers Paid Plan が必要です。
 
 [![Deploy with Vercel](https://vercel.com/button)](https://vercel.com/new/clone?repository-url=https://github.com/zonghaoyuan/infiplot&env=TEXT_BASE_URL,TEXT_API_KEY,TEXT_MODEL,IMAGE_BASE_URL,IMAGE_API_KEY,IMAGE_MODEL,VISION_BASE_URL,VISION_API_KEY,VISION_MODEL,TTS_BASE_URL,TTS_API_KEY,TTS_SPEECH_MODEL,MOCK_IMAGE&envDescription=Three%20required%20providers%20%2B%20optional%20TTS.%20Any%20OpenAI-compatible%20endpoint%20works%20for%20text%2Fvision.%20TTS%20uses%20MiMo%27s%20own%20protocol.&envLink=https://github.com/zonghaoyuan/infiplot/blob/main/README.ja.md%23%E8%A8%AD%E5%AE%9A%E3%82%AC%E3%82%A4%E3%83%89)   [![Deploy to Cloudflare](https://deploy.workers.cloudflare.com/button)](https://deploy.workers.cloudflare.com/?url=https://github.com/zonghaoyuan/infiplot)
 
 デプロイ後、環境変数を設定してください —— 下記の[設定ガイド](#設定ガイド)を参照。リポジトリのルートがアプリ本体です：Vercel では特別なルート設定は不要です。Cloudflare ではビルドコマンドを `pnpm build:cf` に設定するだけで済みます。
 
+### Docker デプロイ（セルフホスト）
+
+VPS、ホームサーバー、ローカルマシンに対応。x86 と ARM（Apple Silicon Mac を含む）をサポート。
+
+1. `.env.example` を `.env.local` にコピーし、API キーを設定（[設定ガイド](#設定ガイド)を参照）
+2. 起動：
+
+```bash
+docker compose up -d
+```
+
+`http://localhost:3000` にアクセスしてゲームを開始できます。
+
+> Compose を使わず、直接イメージを実行することもできます：
+> ```bash
+> docker run -d -p 3000:3000 --env-file .env.local ghcr.io/zonghaoyuan/infiplot:latest
+> ```
+
 ---
 
 ## 📸 スクリーンショット

README.md

@@ -37,14 +37,36 @@ InfiPlot是一款AI实时生成内容的互动剧情游戏，这里没有预设
 
 ---
 
-## 一键部署
+## 部署
 
-InfiPlot 同时支持部署到 Vercel 与 Cloudflare Workers。Cloudflare 部署因场景流水线需要更长 CPU 时间，需要 Workers Paid Plan；个人使用推荐用 Vercel 一键部署。
+InfiPlot 支持多种部署方式。个人使用推荐 Vercel 一键部署；想部署到自己的服务器或本地运行，可以用 Docker。
+
+### Vercel / Cloudflare（一键部署）
+
+Cloudflare 部署因场景流水线需要更长 CPU 时间，需要 Workers Paid Plan。
 
 [![Deploy with Vercel](https://vercel.com/button)](https://vercel.com/new/clone?repository-url=https://github.com/zonghaoyuan/infiplot&env=TEXT_BASE_URL,TEXT_API_KEY,TEXT_MODEL,IMAGE_BASE_URL,IMAGE_API_KEY,IMAGE_MODEL,VISION_BASE_URL,VISION_API_KEY,VISION_MODEL,TTS_BASE_URL,TTS_API_KEY,TTS_SPEECH_MODEL,MOCK_IMAGE&envDescription=Three%20required%20providers%20%2B%20optional%20TTS.%20Any%20OpenAI-compatible%20endpoint%20works%20for%20text%2Fvision.%20TTS%20uses%20MiMo%27s%20own%20protocol.&envLink=https://github.com/zonghaoyuan/infiplot%23%E9%85%8D%E7%BD%AE%E6%95%99%E7%A8%8B)   [![Deploy to Cloudflare](https://deploy.workers.cloudflare.com/button)](https://deploy.workers.cloudflare.com/?url=https://github.com/zonghaoyuan/infiplot)
 
 部署完成后，填好环境变量 —— 详见下方的[配置教程](#配置教程)。仓库根目录就是应用本身：Vercel 无需额外设置 root directory；在 Cloudflare 上把构建命令设为 `pnpm build:cf` 即可。
 
+### Docker 部署（自托管）
+
+适用于 VPS、家庭服务器或本地电脑。支持 x86 和 ARM（含 Apple Silicon Mac）。
+
+1. 复制 `.env.example` 为 `.env.local`，填入你的 API Key（详见[配置教程](#配置教程)）
+2. 启动：
+
+```bash
+docker compose up -d
+```
+
+访问 `http://localhost:3000` 即可开始游戏。
+
+> 也可以不用 Compose，直接运行镜像：
+> ```bash
+> docker run -d -p 3000:3000 --env-file .env.local ghcr.io/zonghaoyuan/infiplot:latest
+> ```
+
 ---
 
 ## 📸 游戏截图

docker-compose.yml

@@ -0,0 +1,8 @@
+services:
+  infiplot:
+    image: ghcr.io/zonghaoyuan/infiplot:latest
+    ports:
+      - "3000:3000"
+    env_file:
+      - .env.local
+    restart: unless-stopped

next.config.ts

@@ -1,6 +1,7 @@
 import type { NextConfig } from "next";
 
 const config: NextConfig = {
+  output: process.env.BUILD_STANDALONE === "true" ? "standalone" : undefined,
   reactStrictMode: true,
   typedRoutes: false,
   turbopack: {