Claude
5c394815b4
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
365 lines
13 KiB
Bash
365 lines
13 KiB
Bash
#!/bin/bash
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# services/iopaint.sh — AI image inpainting: object removal, fill, restore (IOPaint + LaMa).
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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 iopaint.sh
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# (Docker must already be installed when run standalone)
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#
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# Runs the LaMa model (erase/fill objects) by default on CPU.
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# For GPU inference set DEVICE=cuda in .env and install nvidia-container-toolkit.
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# IOPaint has no built-in auth — protect with Authelia via Caddy.
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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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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="${CADDY_REMOTE_HOST:-}"
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register_service() { :; }
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_RUN_STANDALONE=1
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fi
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# ─────────────────────────────────────────────────────────────────────────────
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register_service iopaint utilities "AI image inpainting — erase objects, fill, restore (IOPaint)" 8100
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install_iopaint() {
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require_docker || return 1
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log_info "Installing IOPaint..."
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local IOPAINT_DIR="$DOCKER_DIR/iopaint"
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if [ "$DRY_RUN" = true ]; then
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echo "[DRY-RUN] Would create $IOPAINT_DIR"
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echo "[DRY-RUN] Would write docker-compose.yml and .env"
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echo "[DRY-RUN] Would offer GPU (CUDA) support and Authelia SSO"
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return 0
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fi
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mkdir -p "$IOPAINT_DIR"
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ensure_docker_dir_ownership "$IOPAINT_DIR"
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cd "$IOPAINT_DIR" || return 1
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# Ask about GPU
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local USE_GPU=""
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prompt_yn "Enable CUDA GPU support? Requires nvidia-container-toolkit (y/n):" "n" USE_GPU
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if [[ "$USE_GPU" =~ ^[Yy]$ ]]; then
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cat > docker-compose.yml << 'IOPAINT_GPU'
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name: iopaint
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services:
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iopaint:
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image: cwq1913/iopaint:latest
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container_name: iopaint
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hostname: iopaint
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restart: unless-stopped
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command: iopaint start --model=lama --device=cuda --port=8080 --host=0.0.0.0
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ports:
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- "8100:8080"
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volumes:
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- ./models:/root/.cache/iopaint
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- ./input:/app/input
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- ./output:/app/output
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environment:
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- DEVICE=cuda
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deploy:
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resources:
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reservations:
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devices:
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- driver: nvidia
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count: 1
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capabilities: [gpu]
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networks:
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- caddy_net
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networks:
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caddy_net:
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external: true
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name: ${CADDY_NET:-caddy_net}
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IOPAINT_GPU
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log_info "CUDA GPU mode enabled."
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else
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cat > docker-compose.yml << 'IOPAINT_CPU'
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name: iopaint
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services:
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iopaint:
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image: cwq1913/iopaint:latest
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container_name: iopaint
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hostname: iopaint
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restart: unless-stopped
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command: iopaint start --model=lama --device=cpu --port=8080 --host=0.0.0.0
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ports:
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- "8100:8080"
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volumes:
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- ./models:/root/.cache/iopaint
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- ./input:/app/input
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- ./output:/app/output
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networks:
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- caddy_net
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networks:
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caddy_net:
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external: true
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name: ${CADDY_NET:-caddy_net}
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IOPAINT_CPU
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log_info "CPU mode (default). Change DEVICE to cuda in .env and update the command to use GPU later."
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fi
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cat > .env << IOPAINT_ENV
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# IOPaint configuration
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# Model to use for inpainting (lama recommended for object removal/erase)
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# Other models: ldm, zits, mat, fcf, manga, cv2, migan
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MODEL=lama
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# Device: cpu or cuda (cuda requires nvidia-container-toolkit + GPU deploy block)
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DEVICE=$([ "${USE_GPU,,}" = "y" ] && echo "cuda" || echo "cpu")
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# Caddy network
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CADDY_NET=${SITE_CADDY_NET}
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IOPAINT_ENV
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chmod 600 .env
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mkdir -p models input output
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chown -R "$ACTUAL_USER:$ACTUAL_USER" "$IOPAINT_DIR"
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echo ""
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log_success "IOPaint configured at $IOPAINT_DIR"
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log_info "LaMa model downloads on first start (~170 MB). Upload images via the web UI."
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log_info "To switch models later: edit the --model= argument in docker-compose.yml and restart."
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# No built-in auth — offer Authelia SSO protection
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local EXTRA_BLOCK=""
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if [ -d "$DOCKER_DIR/authelia" ]; then
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local _use_auth=""
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prompt_yn "Protect IOPaint with Authelia SSO? (y/n):" "y" _use_auth
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[[ "$_use_auth" =~ ^[Yy]$ ]] && EXTRA_BLOCK=" import authelia"
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fi
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configure_caddy_for_service "IOPaint" "iopaint:8080" "inpaint" "$EXTRA_BLOCK"
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write_readme "$IOPAINT_DIR" << MD
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# IOPaint
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AI-powered image inpainting — erase objects, fill regions, restore photos.
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Uses the LaMa (Large Mask) model for high-quality object removal by default.
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## Access
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- URL: http://localhost:8100
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- No built-in login — protect via Authelia SSO if needed
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## Models
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The \`--model\` argument in docker-compose.yml selects the AI model:
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| Model | Best for |
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|--------|----------|
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| \`lama\` | Object removal, erase (default) |
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| \`ldm\` | Texture-aware fill |
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| \`zits\` | Face/portrait restoration |
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| \`mat\` | Large missing region fill |
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| \`manga\`| Manga/comic text removal |
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Models download automatically on first use. Cached in \`./models/\`.
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## GPU acceleration
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Requires \`nvidia-container-toolkit\`. To enable:
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1. Edit docker-compose.yml: change \`--device=cpu\` → \`--device=cuda\`
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2. Uncomment the \`deploy:\` block (or re-run this installer with GPU=y)
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3. Restart: \`docker compose down && docker compose up -d\`
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## Manage
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\`\`\`bash
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cd $IOPAINT_DIR
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docker compose up -d # start
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docker compose down # stop
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docker compose logs -f # logs
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docker compose pull && docker compose down && docker compose up -d # update
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\`\`\`
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## Files
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- docker-compose.yml — stack definition (edit for model/device changes)
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- .env — runtime config
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- models/ — cached AI model weights
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- input/ — optional: place images here
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- output/ — processed images written here
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MD
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local START_IO=""
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prompt_yn "Start IOPaint now? (y/n):" "y" START_IO
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if [ "$START_IO" = "y" ] || [ "$START_IO" = "Y" ]; then
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docker compose up -d \
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&& log_success "IOPaint started — LaMa model will download on first use" \
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|| log_warning "Start failed — check: docker compose logs"
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fi
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echo ""
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echo " URL: http://localhost:8100"
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echo " Model: LaMa (erase / object removal)"
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echo " Device: $([ "${USE_GPU,,}" = "y" ] && echo "CUDA GPU" || echo "CPU")"
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echo ""
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}
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[[ "${_RUN_STANDALONE:-0}" == 1 ]] && install_iopaint
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