Claude
1fc0a6edfe
traccar.sh's caddy_net wiring was fixed to mirror configure_caddy_for_service's
own mode resolution (CADDY_MODE from site config, then a local ~/docker/caddy,
then the legacy CADDY_REMOTE_HOST var) instead of only checking for the local
directory. That same bare directory check was copy-pasted into the caddy_net
wiring of every other Docker service in the repo, so a site with Caddy on a
different box would silently fail to join any of their containers to caddy_net
during setup (or, for homeassistant/koha, only get half the wiring right).
Applied the same fix mechanically across all 37 services using the standard
_CADDY_NET_BLOCK/_CADDY_NET_SECTION pattern (verified identical text via
scripted diff before touching any of them), plus by hand for:
- homeassistant.sh and koha.sh, which use their own differently-shaped
variables (HA_CADDY_NET_LINES / _CADDY_NET_ENTRY) for the same decision
- paintplus.sh and ai-stack.sh, which do a live `docker network connect`
instead of a compose network block
- watchyourlan.sh, whose Caddy note was worded for local-only setups
sms-inbound.sh got more than a mode swap: its Caddy wiring was hand-rolled
(not routed through configure_caddy_for_service) and had no remote-Caddy
path at all — a remote Caddy box would get a misleading "Caddy isn't
installed here" message instead of a snippet. Added
_sms_write_caddy_snippet(), mirroring the snippet-file pattern
configure_caddy_for_service uses everywhere else, and pointed the firewall
gate at the same three-way mode instead of a two-way dir check.
Verified: bash -n across all of services/*.sh, a scripted check that every
touched file has exactly one _CADDY_MODE resolution and no leftover bare
`[ -d "$DOCKER_DIR/caddy" ]` feeding a caddy_net decision, and spot-checked
docker compose config renders (traccar, mattermost) confirming the ${VAR}
interpolation and multi-service usage sites still resolve correctly.
487 lines
19 KiB
Bash
487 lines
19 KiB
Bash
#!/bin/bash
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# services/iopaint.sh — AI image editing: erase objects, fill regions, replace with text prompt.
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# Part of the modular post-install system (sourced by setup.sh).
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#
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# Can also be run standalone on any machine:
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# sudo bash iopaint.sh
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# (Docker must already be installed when run standalone)
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#
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# Three use cases:
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# Erase/remove — mask an object, AI fills the gap (LaMa, CPU-safe)
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# Inpaint/fill — restore damaged areas, remove watermarks (multiple models)
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# Replace — mask + text prompt → AI draws new content (PowerPaint, GPU required)
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#
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# IOPaint is local-only: it cannot call a remote GPU or InvokeAI on another machine.
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# For text-guided replacement the GPU must be on this same machine.
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# IOPaint has no built-in auth — protect with Authelia via Caddy.
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# ── Standalone bootstrap ──────────────────────────────────────────────────────
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if [[ "${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 $IOPAINT_DIR"
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echo "[DRY-RUN] Would prompt for model and GPU (CUDA) support"
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echo "[DRY-RUN] Would write docker-compose.yml and .env"
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echo "[DRY-RUN] Would offer Authelia SSO"
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return 0
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fi
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mkdir -p "$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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# ── GPU ──────────────────────────────────────────────────────────────────
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log_info "IOPaint can:"
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log_info " • Erase / remove — mask an object, AI fills the gap (works CPU-only)"
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log_info " • Inpaint / fill — restore damaged areas, remove watermarks"
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log_info " • Replace — mask + type what goes there → AI draws it (needs GPU)"
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log_info " Note: inference is always local — IOPaint cannot use a GPU on another machine."
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echo ""
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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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# ── Model selection ───────────────────────────────────────────────────────
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echo ""
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log_info "Select default model (you can switch models in the UI without restarting):"
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echo ""
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log_info " ── CPU-safe — work on any machine ─────────────────────────────────────────"
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log_info " 1) lama Erase / removal. Intelligent gap fill. ~200 MB ← Recommended"
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log_info " 2) cv2 OpenCV fill. No download, instant. Rough quality."
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log_info " 3) zits Portrait & face restoration. ~200 MB."
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log_info " 4) manga Comic/manga text bubble removal. ~100 MB."
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echo ""
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if [[ "$USE_GPU" =~ ^[Yy]$ ]]; then
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log_info " ── GPU-accelerated fill ───────────────────────────────────────────────────"
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log_info " 5) migan MiGAN: fast GPU inpainting. ~50 MB."
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log_info " 6) fcf FcF: high-quality contextual fill. ~600 MB."
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log_info " 7) mat MAT: large missing region fill. ~300 MB."
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log_info " 8) ldm LDM: latent diffusion texture fill. ~1.2 GB."
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echo ""
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log_info " ── Text-guided REPLACEMENT (GPU + Stable Diffusion) ───────────────────────"
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log_info " 9) Sanster/PowerPaint-V2-filling"
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log_info " Mask + type 'a red barn' → AI draws it. ~4 GB."
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log_info " Modes: text-guided, shape-guided, erase, outpaint."
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log_info " 10) runwayml/stable-diffusion-inpainting"
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log_info " Classic SD 1.5 inpaint. Huge LoRA/style library. ~4 GB."
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echo ""
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fi
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local MODEL_NUM=""
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prompt_text "Model choice [1=lama]:" "1" MODEL_NUM
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local IOPAINT_MODEL="lama"
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case "$MODEL_NUM" in
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2) IOPAINT_MODEL="cv2" ;;
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3) IOPAINT_MODEL="zits" ;;
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4) IOPAINT_MODEL="manga" ;;
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5) IOPAINT_MODEL="migan" ;;
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6) IOPAINT_MODEL="fcf" ;;
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7) IOPAINT_MODEL="mat" ;;
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8) IOPAINT_MODEL="ldm" ;;
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9) IOPAINT_MODEL="Sanster/PowerPaint-V2-filling" ;;
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10) IOPAINT_MODEL="runwayml/stable-diffusion-inpainting" ;;
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*) IOPAINT_MODEL="lama" ;;
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esac
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local DEVICE_VAL="cpu"
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[[ "$USE_GPU" =~ ^[Yy]$ ]] && DEVICE_VAL="cuda"
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# ── docker-compose.yml ────────────────────────────────────────────────────
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# MODEL and DEVICE come from .env — change them there and restart to switch.
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# Volume ./models:/root/.cache persists ALL model caches:
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# /root/.cache/torch/hub/checkpoints/ (LaMa, CV2, ZITS, etc.)
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# /root/.cache/huggingface/ (SD, PowerPaint, LDM, etc.)
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# Mirrors configure_caddy_for_service's own mode resolution (lib/common.sh):
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# explicit CADDY_MODE from the site config wins, then a local ~/docker/caddy,
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# then the legacy CADDY_REMOTE_HOST var. Only "local" joins caddy_net — a
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# remote Caddy box can't resolve container names on this host's bridge
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# network anyway; it reaches this service via the host's published port.
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local _CADDY_MODE="${CADDY_MODE:-none}"
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[ "$_CADDY_MODE" = "none" ] && [ -d "$DOCKER_DIR/caddy" ] && _CADDY_MODE="local"
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[ "$_CADDY_MODE" = "none" ] && [ -n "${CADDY_REMOTE_HOST:-}" ] && _CADDY_MODE="remote"
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local _CADDY_NET_BLOCK=""
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local _CADDY_NET_SECTION=""
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if [ "$_CADDY_MODE" = "local" ]; then
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_CADDY_NET_BLOCK=" networks:
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- caddy_net
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"
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_CADDY_NET_SECTION="
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networks:
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caddy_net:
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external: true
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name: ${SITE_CADDY_NET:-caddy_net}
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"
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fi
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if [[ "$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: >-
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iopaint start
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--model=\${MODEL:-lama}
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--device=\${DEVICE:-cuda}
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--port=8080
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--host=0.0.0.0
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ports:
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- "8100:8080"
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env_file: .env
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volumes:
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- ./models:/root/.cache
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- ./input:/app/input
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- ./output:/app/output
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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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${_CADDY_NET_BLOCK}${_CADDY_NET_SECTION}
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IOPAINT_GPU
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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: >-
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iopaint start
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--model=\${MODEL:-lama}
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--device=\${DEVICE:-cpu}
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--port=8080
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--host=0.0.0.0
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ports:
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- "8100:8080"
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env_file: .env
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volumes:
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- ./models:/root/.cache
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- ./input:/app/input
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- ./output:/app/output
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${_CADDY_NET_BLOCK}${_CADDY_NET_SECTION}
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IOPAINT_CPU
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fi
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# ── .env ─────────────────────────────────────────────────────────────────
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cat > .env << IOPAINT_ENV
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# IOPaint — change MODEL and restart to switch (no need to edit docker-compose.yml)
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# Current model (set during install — see README for full model list)
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MODEL=${IOPAINT_MODEL}
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# Device: cpu or cuda
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# For GPU: also requires the deploy: block in docker-compose.yml
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DEVICE=${DEVICE_VAL}
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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 — model: $IOPAINT_MODEL | device: $DEVICE_VAL"
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if [[ "$IOPAINT_MODEL" == *"PowerPaint"* ]] || [[ "$IOPAINT_MODEL" == *"stable-diffusion"* ]]; then
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log_info "SD-based model selected (~4 GB). It downloads from HuggingFace on first start."
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log_info "If the download fails, try: HF_TOKEN=your_token docker compose up -d"
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else
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log_info "Model downloads automatically on first start (LaMa ~200 MB)."
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fi
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log_info "Switch models any time by editing MODEL= in .env and restarting."
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# No built-in auth — offer Authelia SSO protection
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local EXTRA_BLOCK=""
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if [ -d "$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 editing:
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- **Erase / remove** — mask an object, AI fills the background (LaMa, works CPU-only)
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- **Inpaint / restore** — fix damaged areas, remove watermarks
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- **Replace with AI** — mask something + type what goes there → AI draws it (PowerPaint, GPU)
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Note: IOPaint is **local only** — all inference runs on this machine.
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For text-guided replacement a CUDA GPU on this machine is required.
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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 exposed
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|
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## Switching models
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Edit `MODEL=` in `.env` and restart — no need to touch `docker-compose.yml`:
|
|
```bash
|
|
cd ~/docker/iopaint
|
|
nano .env # change MODEL= line
|
|
docker compose restart
|
|
```
|
|
|
|
## Model reference
|
|
|
|
| # | Model | Type | Size | Best for |
|
|
|---|-------|------|------|---------|
|
|
| 1 | `lama` | CPU-safe | ~200 MB | **Object erase/removal** (default) |
|
|
| 2 | `cv2` | CPU-safe | built-in | Basic fill, no download |
|
|
| 3 | `zits` | CPU-safe | ~200 MB | Portrait & face restoration |
|
|
| 4 | `manga` | CPU-safe | ~100 MB | Comic/manga text bubble removal |
|
|
| 5 | `migan` | GPU | ~50 MB | Fast GPU inpainting |
|
|
| 6 | `fcf` | GPU | ~600 MB | High-quality contextual fill |
|
|
| 7 | `mat` | GPU | ~300 MB | Large missing region fill |
|
|
| 8 | `ldm` | GPU | ~1.2 GB | Latent diffusion texture fill |
|
|
| 9 | `Sanster/PowerPaint-V2-filling` | GPU+SD | ~4 GB | **Text-guided replacement** |
|
|
| 10 | `runwayml/stable-diffusion-inpainting` | GPU+SD | ~4 GB | SD 1.5 inpaint, large LoRA library |
|
|
|
|
SD-based models (9, 10) download from HuggingFace on first start.
|
|
If a gated model needs a token: add `HF_TOKEN=xxx` to `.env`.
|
|
|
|
## How to use
|
|
1. Open http://localhost:8100
|
|
2. Upload an image (or drag & drop)
|
|
3. Paint a mask over the area to change
|
|
4. For erase models: click Run → gap fills automatically
|
|
5. For SD models (PowerPaint): type a text prompt → AI draws it into the masked area
|
|
|
|
## GPU acceleration
|
|
Requires `nvidia-container-toolkit`. The GPU compose adds a `deploy:` block.
|
|
Re-run the installer with GPU=y to regenerate docker-compose.yml, or manually add:
|
|
```yaml
|
|
deploy:
|
|
resources:
|
|
reservations:
|
|
devices:
|
|
- driver: nvidia
|
|
count: 1
|
|
capabilities: [gpu]
|
|
```
|
|
Then change `DEVICE=cuda` in `.env` and restart.
|
|
|
|
## Manage
|
|
```bash
|
|
cd ~/docker/iopaint
|
|
docker compose up -d
|
|
docker compose down
|
|
docker compose logs -f
|
|
docker compose pull && docker compose down && docker compose up -d
|
|
```
|
|
|
|
## Files
|
|
- docker-compose.yml — stack (MODEL and DEVICE come from .env)
|
|
- .env — model and device config
|
|
- models/ — all cached model weights (torch + HuggingFace)
|
|
- input/, output/ — optional file staging
|
|
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 — model downloads on first use" \
|
|
|| log_warning "Start failed — check: docker compose logs"
|
|
fi
|
|
|
|
echo ""
|
|
echo " URL: http://localhost:8100"
|
|
echo " Model: $IOPAINT_MODEL"
|
|
echo " Device: $DEVICE_VAL"
|
|
echo " Switch: edit MODEL= in $IOPAINT_DIR/.env and restart"
|
|
echo ""
|
|
}
|
|
|
|
[[ "${_RUN_STANDALONE:-0}" == 1 ]] && install_iopaint
|