Add iopaint and ai-gpu services
iopaint: AI image inpainting (object removal, fill, restore) via IOPaint + LaMa model. Runs CPU by default; GPU option writes nvidia deploy block. No built-in auth — Authelia SSO prompt included. Port 8100. ai-gpu: GPU AI stack from outis1one/ai-6gb-gpu. Clones repo and sets up three stacks under ~/docker/ai-gpu/: InvokeAI image gen (port 9090), Ollama + Open WebUI + SearXNG LLM stack (ports 11434/3000), and Flask portal (port 8080) that hot-swaps the GPU between stacks. Patches hardcoded home paths in portal docker-compose.yml to use ACTUAL_HOME. Prompts for TZ (replaces hardcoded America/New_York). Caddy for both portal (localai) and InvokeAI (images). https://claude.ai/code/session_01JEu7LgCWXKhXo18MeYFRZp
This commit is contained in:
Claude
@@ -67,7 +67,7 @@ Update them any time with `sudo ./setup.sh configure`.
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|-------|---------|
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| `base` | `net-tools`, `ncdu`, `git`, `curl`, `wget`, `htop`, `tree`, `zip`/`unzip`, `ca-certificates`, `gnupg`, `jq`, `rsync`; `glow` (terminal markdown reader, Charm apt repo) |
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| `homelab` | `caddy`, `crowdsec`, `authelia`, `homeassistant`, `asterisk` |
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| `utilities` | `actualbudget`, `archivebox`, `changedetection`, `ddclient`, `filebrowser`, `fmd`, `gatus`, `homebox`, `joplin`, `koha`, `magicmirror`, `mail-archiver`, `mattermost`, `mealie`, `meshcentral`, `n8n`, `nextcloud`, `ntfy`, `onlyoffice`, `portainer`, `rustdesk`, `stirling-pdf`, `syncthing`, `traccar`, `unifi`, `uptimekuma`, `vaultwarden`, `watchyourlan`, `watchtower`, `wg-easy` |
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| `utilities` | `actualbudget`, `ai-gpu`, `archivebox`, `changedetection`, `ddclient`, `filebrowser`, `fmd`, `gatus`, `homebox`, `iopaint`, `joplin`, `koha`, `magicmirror`, `mail-archiver`, `mattermost`, `mealie`, `meshcentral`, `n8n`, `nextcloud`, `ntfy`, `onlyoffice`, `portainer`, `rustdesk`, `stirling-pdf`, `syncthing`, `traccar`, `unifi`, `uptimekuma`, `vaultwarden`, `watchyourlan`, `watchtower`, `wg-easy` |
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| `media` | `arm`, `audiobookshelf`, `calibre-web`, `emby`, `immich`, `jellyfin`, `lyrion` |
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| `cameras` | `frigate`, `frigate-audio`, `frigate-notify`, `sky-cam` |
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| `gaming` | `drum-rhythm-game`, `js99er`, `minecraft`, `wolf`, `wolf-pair` |
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@@ -0,0 +1,449 @@
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#!/bin/bash
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# services/ai-gpu.sh — GPU AI stack: InvokeAI image gen + Ollama/OpenWebUI LLM + swap portal.
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# Part of the modular post-install system (sourced by setup.sh).
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#
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# Can also be run standalone on any machine:
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# sudo bash ai-gpu.sh
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# (Docker + nvidia-container-toolkit must already be installed)
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#
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# Clones https://github.com/outis1one/ai-6gb-gpu and installs three stacks:
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# image-gen/ — InvokeAI (port 9090), nvidia GPU, optimised for 6 GB VRAM
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# llm/ — Ollama (11434) + Open WebUI (3000) + SearXNG (internal)
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# portal/ — Flask app (port 8080), mounts Docker socket, hot-swaps GPU between stacks
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#
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# Because a 6 GB GPU can only run ONE stack at a time, the portal handles the swap:
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# stop the active stack, start the requested one. Stop image-gen before starting llm, and vice versa.
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# ── Standalone bootstrap ──────────────────────────────────────────────────────
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if [[ "${BASH_SOURCE[0]}" == "${0}" ]]; then
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[[ "$(id -u)" == "0" ]] || { echo "Run with sudo: sudo bash $0"; exit 1; }
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_SELF_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
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_COMMON="$_SELF_DIR/../lib/common.sh"
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if [[ -f "$_COMMON" ]]; then
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source "$_COMMON"
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else
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log_info() { echo -e "\033[0;34m[INFO]\033[0m $*"; }
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log_success() { echo -e "\033[0;32m[OK]\033[0m $*"; }
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log_warning() { echo -e "\033[1;33m[WARN]\033[0m $*"; }
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log_error() { echo -e "\033[0;31m[ERROR]\033[0m $*" >&2; }
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require_docker() {
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command -v docker &>/dev/null || {
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log_error "Docker not found. Install it first:"
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log_error " curl -fsSL https://get.docker.com | sudo sh"
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return 1
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}
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docker compose version &>/dev/null || {
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log_error "Docker Compose plugin missing:"
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log_error " sudo apt-get install -y docker-compose-plugin"
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return 1
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}
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}
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ensure_docker_dir_ownership() {
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chown -R "$ACTUAL_USER:$ACTUAL_USER" "$@" 2>/dev/null || true
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}
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prompt_text() {
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local _q="$1" _def="$2" _var="$3" _r
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[[ "${UNATTENDED:-false}" == "true" ]] && { eval "$_var='$_def'"; return; }
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read -r -p " $_q " _r
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eval "$_var='${_r:-$_def}'"
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}
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prompt_yn() {
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local _q="$1" _def="$2" _var="$3" _r
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[[ "${UNATTENDED:-false}" == "true" ]] && { eval "$_var='$_def'"; return; }
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read -r -p " $_q " _r
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eval "$_var='${_r:-$_def}'"
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}
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configure_caddy_for_service() {
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local _name="$1" _upstream="$2" _subdomain="$3" _extra="${4:-}"
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local _caddy_dir="$DOCKER_DIR/caddy"
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local _caddyfile="$_caddy_dir/Caddyfile"
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local _display_port="${_upstream##*:}"
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local _mode="none"
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[[ -d "$_caddy_dir" ]] && _mode="local"
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[[ -n "${CADDY_REMOTE_HOST:-}" ]] && [[ "$_mode" != "local" ]] && _mode="remote"
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[[ "$_mode" == "none" ]] && {
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log_info "Access $_name directly on port $_display_port."
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return 0
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}
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echo ""
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local _do_caddy=""
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if [[ "$_mode" == "remote" ]]; then
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log_info "Remote Caddy configured (${CADDY_REMOTE_HOST})."
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log_info "A snippet file will be saved to ~/docker/caddy-snippets/."
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fi
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read -r -p " Configure Caddy reverse proxy for $_name? [y/N]: " _do_caddy
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[[ "${_do_caddy,,}" == "y" ]] || {
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log_info "Skipping — access at: http://localhost:$_display_port"
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return 0
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}
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local _default_domain=""
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if [[ -n "${SITE_DOMAIN:-}" ]] && [[ "$SITE_DOMAIN" != "example.com" ]]; then
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_default_domain="${_subdomain}.${SITE_DOMAIN}"
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log_info "Default: $_default_domain"
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fi
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local _domain=""
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read -r -p " Domain [${_default_domain:-required}]: " _domain
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_domain="${_domain:-$_default_domain}"
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[[ -n "$_domain" ]] || { log_warning "No domain entered — skipping Caddy."; return 0; }
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local _block_upstream="$_upstream"
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if [[ "$_mode" == "remote" ]]; then
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_block_upstream="${CADDY_REMOTE_HOST}:${_display_port}"
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fi
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local _site_block
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_site_block="$(cat << CBLOCK
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# $_name
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${_domain} {
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reverse_proxy ${_block_upstream}
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header {
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Strict-Transport-Security "max-age=31536000; includeSubDomains; preload"
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X-Content-Type-Options "nosniff"
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X-Frame-Options "SAMEORIGIN"
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Referrer-Policy "strict-origin-when-cross-origin"
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}
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log {
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output file /var/log/caddy/${_domain}.log
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format json
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}
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${_extra}
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}
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CBLOCK
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)"
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if [[ "$_mode" == "local" ]]; then
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if [[ -f "$_caddyfile" ]]; then
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local _bk="$_caddy_dir/Caddyfile.backup.$(date +%Y%m%d-%H%M%S)"
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cp "$_caddyfile" "$_bk"
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log_info "Backed up Caddyfile to $(basename "$_bk")"
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else
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touch "$_caddyfile"
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fi
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if grep -q "^${_domain}" "$_caddyfile" 2>/dev/null; then
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log_warning "$_domain already in Caddyfile"
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local _ow=""
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read -r -p " Overwrite? [y/N]: " _ow
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[[ "${_ow,,}" == "y" ]] || { log_info "Keeping existing entry."; return 0; }
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sed -i "/^${_domain}/,/^}/d" "$_caddyfile"
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fi
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printf '%s\n' "$_site_block" >> "$_caddyfile"
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log_success "Added $_domain to Caddyfile"
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docker exec caddy caddy fmt --overwrite /etc/caddy/Caddyfile 2>/dev/null || true
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if docker exec caddy caddy reload --config /etc/caddy/Caddyfile 2>/dev/null; then
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log_success "$_name accessible at: https://$_domain"
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else
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log_warning "Reload failed — check: docker logs caddy"
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log_info "Manual reload: docker exec caddy caddy reload --config /etc/caddy/Caddyfile"
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fi
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else
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local _snippet_dir="$DOCKER_DIR/caddy-snippets"
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local _snippet_file="$_snippet_dir/${_subdomain}.caddy"
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mkdir -p "$_snippet_dir"
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printf '%s\n' "$_site_block" > "$_snippet_file"
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chown "$ACTUAL_USER:$ACTUAL_USER" "$_snippet_file" 2>/dev/null || true
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log_success "Snippet saved: $_snippet_file"
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log_info "Copy to Caddy machine:"
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log_info " scp $_snippet_file caddy-host:~/caddy-snippets/"
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log_info " rsync -av $_snippet_dir/ caddy-host:~/caddy-snippets/ (all at once)"
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fi
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}
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write_readme() {
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local _dir="$1"
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mkdir -p "$_dir"
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[[ "${DRY_RUN:-false}" == "true" ]] && return 0
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cat > "$_dir/README.md"
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}
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generate_password() {
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local _len="${1:-32}"
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tr -dc 'A-Za-z0-9' < /dev/urandom | head -c "$_len"
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echo
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}
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fi
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ACTUAL_USER="${ACTUAL_USER:-${SUDO_USER:-$USER}}"
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ACTUAL_HOME="$(getent passwd "$ACTUAL_USER" 2>/dev/null | cut -d: -f6 || echo "${HOME:-/root}")"
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DOCKER_DIR="${DOCKER_DIR:-$ACTUAL_HOME/docker}"
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DRY_RUN="${DRY_RUN:-false}"
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UNATTENDED="${UNATTENDED:-false}"
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SITE_TZ="${SITE_TZ:-$(cat /etc/timezone 2>/dev/null || echo UTC)}"
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SITE_DOMAIN="${SITE_DOMAIN:-example.com}"
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SITE_CADDY_NET="${SITE_CADDY_NET:-caddy_net}"
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CADDY_REMOTE_HOST="${CADDY_REMOTE_HOST:-}"
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register_service() { :; }
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_RUN_STANDALONE=1
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fi
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# ─────────────────────────────────────────────────────────────────────────────
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register_service ai-gpu utilities "GPU AI stack — InvokeAI image gen + Ollama/OpenWebUI LLM (6 GB VRAM)" 9090
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install_ai_gpu() {
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require_docker || return 1
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log_info "Installing AI GPU stack (InvokeAI + Ollama/OpenWebUI + portal)..."
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log_info "Requires: nvidia GPU with 6 GB+ VRAM, nvidia-container-toolkit installed."
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local AI_DIR="$DOCKER_DIR/ai-gpu"
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local REPO_URL="https://github.com/outis1one/ai-6gb-gpu.git"
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local REPO_DIR="$AI_DIR/src"
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if [ "$DRY_RUN" = true ]; then
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echo "[DRY-RUN] Would clone $REPO_URL to $REPO_DIR"
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echo "[DRY-RUN] Would create stacks: image-gen (InvokeAI:9090), llm (Ollama:11434 + OpenWebUI:3000), portal (8080)"
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echo "[DRY-RUN] Would write .env files and patch portal volume paths to $ACTUAL_HOME/docker"
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echo "[DRY-RUN] Would configure Caddy for portal (localai) and InvokeAI (images)"
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return 0
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fi
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# TZ — repo defaults to America/New_York, replace with user preference
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local TZ_VAL="${SITE_TZ:-UTC}"
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prompt_text "Timezone (e.g. America/New_York) [$TZ_VAL]:" "$TZ_VAL" TZ_VAL
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TZ_VAL="${TZ_VAL:-UTC}"
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mkdir -p "$AI_DIR"
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# ── Clone / update repo ───────────────────────────────────────────────────
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if [ -d "$REPO_DIR/.git" ]; then
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log_info "Updating ai-6gb-gpu repo..."
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git -C "$REPO_DIR" pull --ff-only 2>/dev/null \
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&& log_success "Repo updated" \
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|| log_warning "Could not pull latest — using existing version"
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else
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log_info "Cloning ai-6gb-gpu repo..."
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git clone --depth 1 "$REPO_URL" "$REPO_DIR" \
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|| { log_error "Clone failed — check network and git access"; return 1; }
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fi
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# ── Image-gen stack (InvokeAI) ────────────────────────────────────────────
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local IMAGE_GEN_DIR="$AI_DIR/image-gen"
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mkdir -p "$IMAGE_GEN_DIR"
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if [ -d "$REPO_DIR/ai-image-gen" ]; then
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cp -rn "$REPO_DIR/ai-image-gen/." "$IMAGE_GEN_DIR/" 2>/dev/null || true
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||||
# Replace any hardcoded timezone
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||||
find "$IMAGE_GEN_DIR" -name "docker-compose.yml" -exec \
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sed -i "s|America/New_York|$TZ_VAL|g" {} \;
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fi
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||||
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||||
cat > "$IMAGE_GEN_DIR/.env" << IMGENV
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# InvokeAI — image generation
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TZ=${TZ_VAL}
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# VRAM cap: 3 GB leaves headroom on a 6 GB card
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INVOKEAI_vram=3
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||||
# RAM cache for model layers
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INVOKEAI_ram=8
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CADDY_NET=${SITE_CADDY_NET}
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IMGENV
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chmod 600 "$IMAGE_GEN_DIR/.env"
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||||
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||||
# ── LLM stack (Ollama + Open WebUI + SearXNG) ─────────────────────────────
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local LLM_DIR="$AI_DIR/llm"
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mkdir -p "$LLM_DIR"
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||||
if [ -d "$REPO_DIR/ai-llm" ]; then
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||||
cp -rn "$REPO_DIR/ai-llm/." "$LLM_DIR/" 2>/dev/null || true
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||||
find "$LLM_DIR" -name "docker-compose.yml" -exec \
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||||
sed -i "s|America/New_York|$TZ_VAL|g" {} \;
|
||||
fi
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||||
|
||||
local WEBUI_SECRET
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||||
WEBUI_SECRET="$(generate_password 32)"
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||||
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||||
cat > "$LLM_DIR/.env" << LLMENV
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||||
# Ollama + Open WebUI + SearXNG
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||||
TZ=${TZ_VAL}
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||||
# Open WebUI session secret
|
||||
WEBUI_SECRET_KEY=${WEBUI_SECRET}
|
||||
CADDY_NET=${SITE_CADDY_NET}
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||||
LLMENV
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||||
chmod 600 "$LLM_DIR/.env"
|
||||
|
||||
# ── Portal stack (Flask GPU swap controller) ──────────────────────────────
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||||
local PORTAL_DIR="$AI_DIR/portal"
|
||||
mkdir -p "$PORTAL_DIR"
|
||||
if [ -d "$REPO_DIR/ai-portal" ]; then
|
||||
cp -rn "$REPO_DIR/ai-portal/." "$PORTAL_DIR/" 2>/dev/null || true
|
||||
# Fix hardcoded home path in docker-compose.yml volume mounts
|
||||
if [ -f "$PORTAL_DIR/docker-compose.yml" ]; then
|
||||
sed -i \
|
||||
"s|/home/[^/]*/docker:|${ACTUAL_HOME}/docker:|g" \
|
||||
"$PORTAL_DIR/docker-compose.yml"
|
||||
sed -i "s|America/New_York|$TZ_VAL|g" "$PORTAL_DIR/docker-compose.yml"
|
||||
fi
|
||||
fi
|
||||
|
||||
cat > "$PORTAL_DIR/.env" << PORTALENV
|
||||
# AI Portal — GPU stack swap controller
|
||||
TZ=${TZ_VAL}
|
||||
# Paths inside the container (Docker socket mount maps ACTUAL_HOME/docker → /docker)
|
||||
IMAGE_STACK=/docker/ai-gpu/image-gen
|
||||
LLM_STACK=/docker/ai-gpu/llm
|
||||
CADDY_NET=${SITE_CADDY_NET}
|
||||
PORTALENV
|
||||
chmod 600 "$PORTAL_DIR/.env"
|
||||
|
||||
# Set ownership across everything
|
||||
ensure_docker_dir_ownership "$AI_DIR"
|
||||
|
||||
echo ""
|
||||
log_success "AI GPU stacks configured under $AI_DIR"
|
||||
log_info "Stack layout:"
|
||||
log_info " image-gen/ — InvokeAI (port 9090, nvidia GPU)"
|
||||
log_info " llm/ — Ollama (11434) + Open WebUI (3000) + SearXNG (internal)"
|
||||
log_info " portal/ — GPU swap portal (port 8080)"
|
||||
echo ""
|
||||
log_warning "Only ONE GPU stack can run at a time on a 6 GB card."
|
||||
log_warning "Use the portal to switch, or manually: docker compose -f <stack>/docker-compose.yml down/up."
|
||||
|
||||
# ── Caddy ─────────────────────────────────────────────────────────────────
|
||||
configure_caddy_for_service "AI Portal" "ai-portal:8080" "localai"
|
||||
configure_caddy_for_service "InvokeAI" "invokeai:9090" "images"
|
||||
|
||||
# ── README ────────────────────────────────────────────────────────────────
|
||||
write_readme "$AI_DIR" << MD
|
||||
# AI GPU Stack
|
||||
|
||||
Three Docker stacks optimised for a 6 GB VRAM nvidia GPU.
|
||||
Source: https://github.com/outis1one/ai-6gb-gpu
|
||||
|
||||
## Stacks
|
||||
|
||||
| Stack | Service | Port | Notes |
|
||||
|-------|---------|------|-------|
|
||||
| \`image-gen/\` | InvokeAI | 9090 | Image generation (SDXL, Flux, etc.) |
|
||||
| \`llm/\` | Ollama | 11434 | LLM inference engine |
|
||||
| \`llm/\` | Open WebUI | 3000 | Chat UI for Ollama |
|
||||
| \`llm/\` | SearXNG | — | Internal web search for RAG |
|
||||
| \`portal/\` | AI Portal | 8080 | GPU swap controller UI |
|
||||
|
||||
## Important: GPU time-sharing
|
||||
|
||||
A 6 GB GPU can only run one AI stack at a time. Use the portal at
|
||||
http://localhost:8080 to swap between image-gen and llm — it stops the
|
||||
active stack before starting the requested one.
|
||||
|
||||
Manual swap:
|
||||
\`\`\`bash
|
||||
# Stop image-gen, start llm
|
||||
docker compose -f $AI_DIR/image-gen/docker-compose.yml down
|
||||
docker compose -f $AI_DIR/llm/docker-compose.yml up -d
|
||||
|
||||
# Stop llm, start image-gen
|
||||
docker compose -f $AI_DIR/llm/docker-compose.yml down
|
||||
docker compose -f $AI_DIR/image-gen/docker-compose.yml up -d
|
||||
\`\`\`
|
||||
|
||||
## First-run setup
|
||||
|
||||
### InvokeAI
|
||||
1. Open http://localhost:9090
|
||||
2. Install models via the Model Manager (HuggingFace token may be needed)
|
||||
3. Recommended for 6 GB: SDXL-Turbo, Flux-Schnell-quantised
|
||||
|
||||
### Ollama
|
||||
\`\`\`bash
|
||||
# Pull a model (while llm stack is running)
|
||||
docker exec ollama ollama pull llama3.2
|
||||
docker exec ollama ollama pull nomic-embed-text # for RAG embeddings
|
||||
\`\`\`
|
||||
|
||||
### Open WebUI
|
||||
Open http://localhost:3000 — create admin account on first visit.
|
||||
|
||||
## Manage individual stacks
|
||||
\`\`\`bash
|
||||
# Image generation
|
||||
cd $AI_DIR/image-gen
|
||||
docker compose up -d
|
||||
docker compose down
|
||||
docker compose logs -f invokeai
|
||||
|
||||
# LLM + chat
|
||||
cd $AI_DIR/llm
|
||||
docker compose up -d
|
||||
docker compose down
|
||||
docker compose logs -f openwebui
|
||||
|
||||
# Portal
|
||||
cd $AI_DIR/portal
|
||||
docker compose up -d
|
||||
docker compose down
|
||||
\`\`\`
|
||||
|
||||
## Update
|
||||
\`\`\`bash
|
||||
# Pull latest repo changes and rebuild
|
||||
cd $REPO_DIR && git pull
|
||||
cd $AI_DIR/image-gen && docker compose pull && docker compose up -d
|
||||
cd $AI_DIR/llm && docker compose pull && docker compose up -d
|
||||
cd $AI_DIR/portal && docker compose build --pull && docker compose up -d
|
||||
\`\`\`
|
||||
|
||||
## Files
|
||||
- image-gen/.env — InvokeAI VRAM/RAM limits and TZ
|
||||
- llm/.env — Open WebUI secret key and TZ
|
||||
- portal/.env — stack paths and TZ
|
||||
MD
|
||||
|
||||
# ── Start prompt ──────────────────────────────────────────────────────────
|
||||
echo ""
|
||||
log_info "Which stack do you want to start now?"
|
||||
log_info " 1) Portal only (recommended first — lets you manage the others)"
|
||||
log_info " 2) Portal + image-gen (InvokeAI)"
|
||||
log_info " 3) Portal + llm (Ollama/OpenWebUI)"
|
||||
log_info " 4) None — start manually later"
|
||||
|
||||
local START_CHOICE=""
|
||||
prompt_text "Choice [1]:" "1" START_CHOICE
|
||||
|
||||
case "$START_CHOICE" in
|
||||
1)
|
||||
docker compose -f "$PORTAL_DIR/docker-compose.yml" up -d \
|
||||
&& log_success "Portal started — http://localhost:8080" \
|
||||
|| log_warning "Portal start failed — check: docker compose -f $PORTAL_DIR/docker-compose.yml logs"
|
||||
;;
|
||||
2)
|
||||
docker compose -f "$PORTAL_DIR/docker-compose.yml" up -d \
|
||||
&& log_success "Portal started" \
|
||||
|| log_warning "Portal start failed"
|
||||
docker compose -f "$IMAGE_GEN_DIR/docker-compose.yml" up -d \
|
||||
&& log_success "InvokeAI started — http://localhost:9090" \
|
||||
|| log_warning "InvokeAI start failed — check: docker compose -f $IMAGE_GEN_DIR/docker-compose.yml logs"
|
||||
;;
|
||||
3)
|
||||
docker compose -f "$PORTAL_DIR/docker-compose.yml" up -d \
|
||||
&& log_success "Portal started" \
|
||||
|| log_warning "Portal start failed"
|
||||
docker compose -f "$LLM_DIR/docker-compose.yml" up -d \
|
||||
&& log_success "LLM stack started — Open WebUI: http://localhost:3000" \
|
||||
|| log_warning "LLM start failed — check: docker compose -f $LLM_DIR/docker-compose.yml logs"
|
||||
;;
|
||||
*)
|
||||
log_info "Skipped. Start when ready:"
|
||||
log_info " docker compose -f $PORTAL_DIR/docker-compose.yml up -d"
|
||||
;;
|
||||
esac
|
||||
|
||||
echo ""
|
||||
echo " Portal: http://localhost:8080"
|
||||
echo " InvokeAI: http://localhost:9090 (image-gen stack)"
|
||||
echo " OpenWebUI: http://localhost:3000 (llm stack)"
|
||||
echo " Source: $REPO_DIR"
|
||||
echo ""
|
||||
}
|
||||
|
||||
[[ "${_RUN_STANDALONE:-0}" == 1 ]] && install_ai_gpu
|
||||
@@ -0,0 +1,364 @@
|
||||
#!/bin/bash
|
||||
# services/iopaint.sh — AI image inpainting: object removal, fill, restore (IOPaint + LaMa).
|
||||
# Part of the modular post-install system (sourced by setup.sh).
|
||||
#
|
||||
# Can also be run standalone on any machine:
|
||||
# sudo bash iopaint.sh
|
||||
# (Docker must already be installed when run standalone)
|
||||
#
|
||||
# Runs the LaMa model (erase/fill objects) by default on CPU.
|
||||
# For GPU inference set DEVICE=cuda in .env and install nvidia-container-toolkit.
|
||||
# IOPaint has no built-in auth — protect with Authelia via Caddy.
|
||||
|
||||
# ── Standalone bootstrap ──────────────────────────────────────────────────────
|
||||
if [[ "${BASH_SOURCE[0]}" == "${0}" ]]; then
|
||||
[[ "$(id -u)" == "0" ]] || { echo "Run with sudo: sudo bash $0"; exit 1; }
|
||||
|
||||
_SELF_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
|
||||
_COMMON="$_SELF_DIR/../lib/common.sh"
|
||||
|
||||
if [[ -f "$_COMMON" ]]; then
|
||||
source "$_COMMON"
|
||||
else
|
||||
log_info() { echo -e "\033[0;34m[INFO]\033[0m $*"; }
|
||||
log_success() { echo -e "\033[0;32m[OK]\033[0m $*"; }
|
||||
log_warning() { echo -e "\033[1;33m[WARN]\033[0m $*"; }
|
||||
log_error() { echo -e "\033[0;31m[ERROR]\033[0m $*" >&2; }
|
||||
|
||||
require_docker() {
|
||||
command -v docker &>/dev/null || {
|
||||
log_error "Docker not found. Install it first:"
|
||||
log_error " curl -fsSL https://get.docker.com | sudo sh"
|
||||
return 1
|
||||
}
|
||||
docker compose version &>/dev/null || {
|
||||
log_error "Docker Compose plugin missing:"
|
||||
log_error " sudo apt-get install -y docker-compose-plugin"
|
||||
return 1
|
||||
}
|
||||
}
|
||||
|
||||
ensure_docker_dir_ownership() {
|
||||
chown -R "$ACTUAL_USER:$ACTUAL_USER" "$@" 2>/dev/null || true
|
||||
}
|
||||
|
||||
prompt_text() {
|
||||
local _q="$1" _def="$2" _var="$3" _r
|
||||
[[ "${UNATTENDED:-false}" == "true" ]] && { eval "$_var='$_def'"; return; }
|
||||
read -r -p " $_q " _r
|
||||
eval "$_var='${_r:-$_def}'"
|
||||
}
|
||||
|
||||
prompt_yn() {
|
||||
local _q="$1" _def="$2" _var="$3" _r
|
||||
[[ "${UNATTENDED:-false}" == "true" ]] && { eval "$_var='$_def'"; return; }
|
||||
read -r -p " $_q " _r
|
||||
eval "$_var='${_r:-$_def}'"
|
||||
}
|
||||
|
||||
configure_caddy_for_service() {
|
||||
local _name="$1" _upstream="$2" _subdomain="$3" _extra="${4:-}"
|
||||
local _caddy_dir="$DOCKER_DIR/caddy"
|
||||
local _caddyfile="$_caddy_dir/Caddyfile"
|
||||
local _display_port="${_upstream##*:}"
|
||||
|
||||
local _mode="none"
|
||||
[[ -d "$_caddy_dir" ]] && _mode="local"
|
||||
[[ -n "${CADDY_REMOTE_HOST:-}" ]] && [[ "$_mode" != "local" ]] && _mode="remote"
|
||||
[[ "$_mode" == "none" ]] && {
|
||||
log_info "Access $_name directly on port $_display_port."
|
||||
return 0
|
||||
}
|
||||
|
||||
echo ""
|
||||
local _do_caddy=""
|
||||
if [[ "$_mode" == "remote" ]]; then
|
||||
log_info "Remote Caddy configured (${CADDY_REMOTE_HOST})."
|
||||
log_info "A snippet file will be saved to ~/docker/caddy-snippets/."
|
||||
fi
|
||||
read -r -p " Configure Caddy reverse proxy for $_name? [y/N]: " _do_caddy
|
||||
[[ "${_do_caddy,,}" == "y" ]] || {
|
||||
log_info "Skipping — access at: http://localhost:$_display_port"
|
||||
return 0
|
||||
}
|
||||
|
||||
local _default_domain=""
|
||||
if [[ -n "${SITE_DOMAIN:-}" ]] && [[ "$SITE_DOMAIN" != "example.com" ]]; then
|
||||
_default_domain="${_subdomain}.${SITE_DOMAIN}"
|
||||
log_info "Default: $_default_domain"
|
||||
fi
|
||||
local _domain=""
|
||||
read -r -p " Domain [${_default_domain:-required}]: " _domain
|
||||
_domain="${_domain:-$_default_domain}"
|
||||
[[ -n "$_domain" ]] || { log_warning "No domain entered — skipping Caddy."; return 0; }
|
||||
|
||||
local _block_upstream="$_upstream"
|
||||
if [[ "$_mode" == "remote" ]]; then
|
||||
_block_upstream="${CADDY_REMOTE_HOST}:${_display_port}"
|
||||
fi
|
||||
|
||||
local _site_block
|
||||
_site_block="$(cat << CBLOCK
|
||||
|
||||
# $_name
|
||||
${_domain} {
|
||||
reverse_proxy ${_block_upstream}
|
||||
|
||||
header {
|
||||
Strict-Transport-Security "max-age=31536000; includeSubDomains; preload"
|
||||
X-Content-Type-Options "nosniff"
|
||||
X-Frame-Options "SAMEORIGIN"
|
||||
Referrer-Policy "strict-origin-when-cross-origin"
|
||||
}
|
||||
|
||||
log {
|
||||
output file /var/log/caddy/${_domain}.log
|
||||
format json
|
||||
}
|
||||
${_extra}
|
||||
}
|
||||
CBLOCK
|
||||
)"
|
||||
|
||||
if [[ "$_mode" == "local" ]]; then
|
||||
if [[ -f "$_caddyfile" ]]; then
|
||||
local _bk="$_caddy_dir/Caddyfile.backup.$(date +%Y%m%d-%H%M%S)"
|
||||
cp "$_caddyfile" "$_bk"
|
||||
log_info "Backed up Caddyfile to $(basename "$_bk")"
|
||||
else
|
||||
touch "$_caddyfile"
|
||||
fi
|
||||
|
||||
if grep -q "^${_domain}" "$_caddyfile" 2>/dev/null; then
|
||||
log_warning "$_domain already in Caddyfile"
|
||||
local _ow=""
|
||||
read -r -p " Overwrite? [y/N]: " _ow
|
||||
[[ "${_ow,,}" == "y" ]] || { log_info "Keeping existing entry."; return 0; }
|
||||
sed -i "/^${_domain}/,/^}/d" "$_caddyfile"
|
||||
fi
|
||||
|
||||
printf '%s\n' "$_site_block" >> "$_caddyfile"
|
||||
log_success "Added $_domain to Caddyfile"
|
||||
docker exec caddy caddy fmt --overwrite /etc/caddy/Caddyfile 2>/dev/null || true
|
||||
if docker exec caddy caddy reload --config /etc/caddy/Caddyfile 2>/dev/null; then
|
||||
log_success "$_name accessible at: https://$_domain"
|
||||
else
|
||||
log_warning "Reload failed — check: docker logs caddy"
|
||||
log_info "Manual reload: docker exec caddy caddy reload --config /etc/caddy/Caddyfile"
|
||||
fi
|
||||
else
|
||||
local _snippet_dir="$DOCKER_DIR/caddy-snippets"
|
||||
local _snippet_file="$_snippet_dir/${_subdomain}.caddy"
|
||||
mkdir -p "$_snippet_dir"
|
||||
printf '%s\n' "$_site_block" > "$_snippet_file"
|
||||
chown "$ACTUAL_USER:$ACTUAL_USER" "$_snippet_file" 2>/dev/null || true
|
||||
log_success "Snippet saved: $_snippet_file"
|
||||
log_info "Copy to Caddy machine:"
|
||||
log_info " scp $_snippet_file caddy-host:~/caddy-snippets/"
|
||||
log_info " rsync -av $_snippet_dir/ caddy-host:~/caddy-snippets/ (all at once)"
|
||||
fi
|
||||
}
|
||||
|
||||
write_readme() {
|
||||
local _dir="$1"
|
||||
mkdir -p "$_dir"
|
||||
[[ "${DRY_RUN:-false}" == "true" ]] && return 0
|
||||
cat > "$_dir/README.md"
|
||||
}
|
||||
fi
|
||||
|
||||
ACTUAL_USER="${ACTUAL_USER:-${SUDO_USER:-$USER}}"
|
||||
ACTUAL_HOME="$(getent passwd "$ACTUAL_USER" 2>/dev/null | cut -d: -f6 || echo "${HOME:-/root}")"
|
||||
DOCKER_DIR="${DOCKER_DIR:-$ACTUAL_HOME/docker}"
|
||||
DRY_RUN="${DRY_RUN:-false}"
|
||||
UNATTENDED="${UNATTENDED:-false}"
|
||||
SITE_TZ="${SITE_TZ:-$(cat /etc/timezone 2>/dev/null || echo UTC)}"
|
||||
SITE_DOMAIN="${SITE_DOMAIN:-example.com}"
|
||||
SITE_CADDY_NET="${SITE_CADDY_NET:-caddy_net}"
|
||||
CADDY_REMOTE_HOST="${CADDY_REMOTE_HOST:-}"
|
||||
|
||||
register_service() { :; }
|
||||
_RUN_STANDALONE=1
|
||||
fi
|
||||
# ─────────────────────────────────────────────────────────────────────────────
|
||||
|
||||
register_service iopaint utilities "AI image inpainting — erase objects, fill, restore (IOPaint)" 8100
|
||||
|
||||
install_iopaint() {
|
||||
require_docker || return 1
|
||||
log_info "Installing IOPaint..."
|
||||
|
||||
local IOPAINT_DIR="$DOCKER_DIR/iopaint"
|
||||
|
||||
if [ "$DRY_RUN" = true ]; then
|
||||
echo "[DRY-RUN] Would create $IOPAINT_DIR"
|
||||
echo "[DRY-RUN] Would write docker-compose.yml and .env"
|
||||
echo "[DRY-RUN] Would offer GPU (CUDA) support and Authelia SSO"
|
||||
return 0
|
||||
fi
|
||||
|
||||
mkdir -p "$IOPAINT_DIR"
|
||||
ensure_docker_dir_ownership "$IOPAINT_DIR"
|
||||
cd "$IOPAINT_DIR" || return 1
|
||||
|
||||
# Ask about GPU
|
||||
local USE_GPU=""
|
||||
prompt_yn "Enable CUDA GPU support? Requires nvidia-container-toolkit (y/n):" "n" USE_GPU
|
||||
|
||||
if [[ "$USE_GPU" =~ ^[Yy]$ ]]; then
|
||||
cat > docker-compose.yml << 'IOPAINT_GPU'
|
||||
name: iopaint
|
||||
|
||||
services:
|
||||
iopaint:
|
||||
image: cwq1913/iopaint:latest
|
||||
container_name: iopaint
|
||||
hostname: iopaint
|
||||
restart: unless-stopped
|
||||
command: iopaint start --model=lama --device=cuda --port=8080 --host=0.0.0.0
|
||||
ports:
|
||||
- "8100:8080"
|
||||
volumes:
|
||||
- ./models:/root/.cache/iopaint
|
||||
- ./input:/app/input
|
||||
- ./output:/app/output
|
||||
environment:
|
||||
- DEVICE=cuda
|
||||
deploy:
|
||||
resources:
|
||||
reservations:
|
||||
devices:
|
||||
- driver: nvidia
|
||||
count: 1
|
||||
capabilities: [gpu]
|
||||
networks:
|
||||
- caddy_net
|
||||
|
||||
networks:
|
||||
caddy_net:
|
||||
external: true
|
||||
name: ${CADDY_NET:-caddy_net}
|
||||
IOPAINT_GPU
|
||||
log_info "CUDA GPU mode enabled."
|
||||
else
|
||||
cat > docker-compose.yml << 'IOPAINT_CPU'
|
||||
name: iopaint
|
||||
|
||||
services:
|
||||
iopaint:
|
||||
image: cwq1913/iopaint:latest
|
||||
container_name: iopaint
|
||||
hostname: iopaint
|
||||
restart: unless-stopped
|
||||
command: iopaint start --model=lama --device=cpu --port=8080 --host=0.0.0.0
|
||||
ports:
|
||||
- "8100:8080"
|
||||
volumes:
|
||||
- ./models:/root/.cache/iopaint
|
||||
- ./input:/app/input
|
||||
- ./output:/app/output
|
||||
networks:
|
||||
- caddy_net
|
||||
|
||||
networks:
|
||||
caddy_net:
|
||||
external: true
|
||||
name: ${CADDY_NET:-caddy_net}
|
||||
IOPAINT_CPU
|
||||
log_info "CPU mode (default). Change DEVICE to cuda in .env and update the command to use GPU later."
|
||||
fi
|
||||
|
||||
cat > .env << IOPAINT_ENV
|
||||
# IOPaint configuration
|
||||
|
||||
# Model to use for inpainting (lama recommended for object removal/erase)
|
||||
# Other models: ldm, zits, mat, fcf, manga, cv2, migan
|
||||
MODEL=lama
|
||||
|
||||
# Device: cpu or cuda (cuda requires nvidia-container-toolkit + GPU deploy block)
|
||||
DEVICE=$([ "${USE_GPU,,}" = "y" ] && echo "cuda" || echo "cpu")
|
||||
|
||||
# Caddy network
|
||||
CADDY_NET=${SITE_CADDY_NET}
|
||||
IOPAINT_ENV
|
||||
chmod 600 .env
|
||||
|
||||
mkdir -p models input output
|
||||
chown -R "$ACTUAL_USER:$ACTUAL_USER" "$IOPAINT_DIR"
|
||||
|
||||
echo ""
|
||||
log_success "IOPaint configured at $IOPAINT_DIR"
|
||||
log_info "LaMa model downloads on first start (~170 MB). Upload images via the web UI."
|
||||
log_info "To switch models later: edit the --model= argument in docker-compose.yml and restart."
|
||||
|
||||
# No built-in auth — offer Authelia SSO protection
|
||||
local EXTRA_BLOCK=""
|
||||
if [ -d "$DOCKER_DIR/authelia" ]; then
|
||||
local _use_auth=""
|
||||
prompt_yn "Protect IOPaint with Authelia SSO? (y/n):" "y" _use_auth
|
||||
[[ "$_use_auth" =~ ^[Yy]$ ]] && EXTRA_BLOCK=" import authelia"
|
||||
fi
|
||||
|
||||
configure_caddy_for_service "IOPaint" "iopaint:8080" "inpaint" "$EXTRA_BLOCK"
|
||||
|
||||
write_readme "$IOPAINT_DIR" << MD
|
||||
# IOPaint
|
||||
|
||||
AI-powered image inpainting — erase objects, fill regions, restore photos.
|
||||
Uses the LaMa (Large Mask) model for high-quality object removal by default.
|
||||
|
||||
## Access
|
||||
- URL: http://localhost:8100
|
||||
- No built-in login — protect via Authelia SSO if needed
|
||||
|
||||
## Models
|
||||
The \`--model\` argument in docker-compose.yml selects the AI model:
|
||||
| Model | Best for |
|
||||
|--------|----------|
|
||||
| \`lama\` | Object removal, erase (default) |
|
||||
| \`ldm\` | Texture-aware fill |
|
||||
| \`zits\` | Face/portrait restoration |
|
||||
| \`mat\` | Large missing region fill |
|
||||
| \`manga\`| Manga/comic text removal |
|
||||
|
||||
Models download automatically on first use. Cached in \`./models/\`.
|
||||
|
||||
## GPU acceleration
|
||||
Requires \`nvidia-container-toolkit\`. To enable:
|
||||
1. Edit docker-compose.yml: change \`--device=cpu\` → \`--device=cuda\`
|
||||
2. Uncomment the \`deploy:\` block (or re-run this installer with GPU=y)
|
||||
3. Restart: \`docker compose down && docker compose up -d\`
|
||||
|
||||
## Manage
|
||||
\`\`\`bash
|
||||
cd $IOPAINT_DIR
|
||||
docker compose up -d # start
|
||||
docker compose down # stop
|
||||
docker compose logs -f # logs
|
||||
docker compose pull && docker compose down && docker compose up -d # update
|
||||
\`\`\`
|
||||
|
||||
## Files
|
||||
- docker-compose.yml — stack definition (edit for model/device changes)
|
||||
- .env — runtime config
|
||||
- models/ — cached AI model weights
|
||||
- input/ — optional: place images here
|
||||
- output/ — processed images written here
|
||||
MD
|
||||
|
||||
local START_IO=""
|
||||
prompt_yn "Start IOPaint now? (y/n):" "y" START_IO
|
||||
if [ "$START_IO" = "y" ] || [ "$START_IO" = "Y" ]; then
|
||||
docker compose up -d \
|
||||
&& log_success "IOPaint started — LaMa model will download on first use" \
|
||||
|| log_warning "Start failed — check: docker compose logs"
|
||||
fi
|
||||
|
||||
echo ""
|
||||
echo " URL: http://localhost:8100"
|
||||
echo " Model: LaMa (erase / object removal)"
|
||||
echo " Device: $([ "${USE_GPU,,}" = "y" ] && echo "CUDA GPU" || echo "CPU")"
|
||||
echo ""
|
||||
}
|
||||
|
||||
[[ "${_RUN_STANDALONE:-0}" == 1 ]] && install_iopaint
|
||||
Reference in New Issue
Block a user