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
450 lines
18 KiB
Bash
450 lines
18 KiB
Bash
#!/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|$TZ_VAL|g" {} \;
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fi
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cat > "$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 "$IMAGE_GEN_DIR/.env"
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# ── LLM stack (Ollama + Open WebUI + SearXNG) ─────────────────────────────
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local LLM_DIR="$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" {} \;
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fi
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local WEBUI_SECRET
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WEBUI_SECRET="$(generate_password 32)"
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cat > "$LLM_DIR/.env" << LLMENV
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# Ollama + Open WebUI + SearXNG
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TZ=${TZ_VAL}
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# Open WebUI session secret
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WEBUI_SECRET_KEY=${WEBUI_SECRET}
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CADDY_NET=${SITE_CADDY_NET}
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LLMENV
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chmod 600 "$LLM_DIR/.env"
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# ── Portal stack (Flask GPU swap controller) ──────────────────────────────
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local PORTAL_DIR="$AI_DIR/portal"
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mkdir -p "$PORTAL_DIR"
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if [ -d "$REPO_DIR/ai-portal" ]; then
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cp -rn "$REPO_DIR/ai-portal/." "$PORTAL_DIR/" 2>/dev/null || true
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# Fix hardcoded home path in docker-compose.yml volume mounts
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if [ -f "$PORTAL_DIR/docker-compose.yml" ]; then
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sed -i \
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"s|/home/[^/]*/docker:|${ACTUAL_HOME}/docker:|g" \
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"$PORTAL_DIR/docker-compose.yml"
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sed -i "s|America/New_York|$TZ_VAL|g" "$PORTAL_DIR/docker-compose.yml"
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fi
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fi
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cat > "$PORTAL_DIR/.env" << PORTALENV
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# AI Portal — GPU stack swap controller
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TZ=${TZ_VAL}
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# Paths inside the container (Docker socket mount maps ACTUAL_HOME/docker → /docker)
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IMAGE_STACK=/docker/ai-gpu/image-gen
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LLM_STACK=/docker/ai-gpu/llm
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CADDY_NET=${SITE_CADDY_NET}
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PORTALENV
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chmod 600 "$PORTAL_DIR/.env"
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# Set ownership across everything
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ensure_docker_dir_ownership "$AI_DIR"
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echo ""
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log_success "AI GPU stacks configured under $AI_DIR"
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log_info "Stack layout:"
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log_info " image-gen/ — InvokeAI (port 9090, nvidia GPU)"
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log_info " llm/ — Ollama (11434) + Open WebUI (3000) + SearXNG (internal)"
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log_info " portal/ — GPU swap portal (port 8080)"
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echo ""
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log_warning "Only ONE GPU stack can run at a time on a 6 GB card."
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log_warning "Use the portal to switch, or manually: docker compose -f <stack>/docker-compose.yml down/up."
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# ── Caddy ─────────────────────────────────────────────────────────────────
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configure_caddy_for_service "AI Portal" "ai-portal:8080" "localai"
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configure_caddy_for_service "InvokeAI" "invokeai:9090" "images"
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# ── README ────────────────────────────────────────────────────────────────
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write_readme "$AI_DIR" << MD
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# AI GPU Stack
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Three Docker stacks optimised for a 6 GB VRAM nvidia GPU.
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Source: https://github.com/outis1one/ai-6gb-gpu
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## Stacks
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| Stack | Service | Port | Notes |
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|-------|---------|------|-------|
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| \`image-gen/\` | InvokeAI | 9090 | Image generation (SDXL, Flux, etc.) |
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| \`llm/\` | Ollama | 11434 | LLM inference engine |
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| \`llm/\` | Open WebUI | 3000 | Chat UI for Ollama |
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| \`llm/\` | SearXNG | — | Internal web search for RAG |
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| \`portal/\` | AI Portal | 8080 | GPU swap controller UI |
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## Important: GPU time-sharing
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A 6 GB GPU can only run one AI stack at a time. Use the portal at
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http://localhost:8080 to swap between image-gen and llm — it stops the
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active stack before starting the requested one.
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Manual swap:
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\`\`\`bash
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# Stop image-gen, start llm
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docker compose -f $AI_DIR/image-gen/docker-compose.yml down
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docker compose -f $AI_DIR/llm/docker-compose.yml up -d
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# Stop llm, start image-gen
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docker compose -f $AI_DIR/llm/docker-compose.yml down
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docker compose -f $AI_DIR/image-gen/docker-compose.yml up -d
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\`\`\`
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## First-run setup
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### InvokeAI
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1. Open http://localhost:9090
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2. Install models via the Model Manager (HuggingFace token may be needed)
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3. Recommended for 6 GB: SDXL-Turbo, Flux-Schnell-quantised
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### Ollama
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\`\`\`bash
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# Pull a model (while llm stack is running)
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docker exec ollama ollama pull llama3.2
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docker exec ollama ollama pull nomic-embed-text # for RAG embeddings
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\`\`\`
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### Open WebUI
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Open http://localhost:3000 — create admin account on first visit.
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## Manage individual stacks
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\`\`\`bash
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# Image generation
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cd $AI_DIR/image-gen
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docker compose up -d
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docker compose down
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docker compose logs -f invokeai
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# LLM + chat
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cd $AI_DIR/llm
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docker compose up -d
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docker compose down
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docker compose logs -f openwebui
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# Portal
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cd $AI_DIR/portal
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docker compose up -d
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docker compose down
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\`\`\`
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## Update
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\`\`\`bash
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# Pull latest repo changes and rebuild
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cd $REPO_DIR && git pull
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cd $AI_DIR/image-gen && docker compose pull && docker compose up -d
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cd $AI_DIR/llm && docker compose pull && docker compose up -d
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cd $AI_DIR/portal && docker compose build --pull && docker compose up -d
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\`\`\`
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## Files
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- image-gen/.env — InvokeAI VRAM/RAM limits and TZ
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- llm/.env — Open WebUI secret key and TZ
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- portal/.env — stack paths and TZ
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MD
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# ── Start prompt ──────────────────────────────────────────────────────────
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echo ""
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log_info "Which stack do you want to start now?"
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log_info " 1) Portal only (recommended first — lets you manage the others)"
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log_info " 2) Portal + image-gen (InvokeAI)"
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log_info " 3) Portal + llm (Ollama/OpenWebUI)"
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log_info " 4) None — start manually later"
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local START_CHOICE=""
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prompt_text "Choice [1]:" "1" START_CHOICE
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case "$START_CHOICE" in
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1)
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docker compose -f "$PORTAL_DIR/docker-compose.yml" up -d \
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&& log_success "Portal started — http://localhost:8080" \
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|| log_warning "Portal start failed — check: docker compose -f $PORTAL_DIR/docker-compose.yml logs"
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;;
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2)
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docker compose -f "$PORTAL_DIR/docker-compose.yml" up -d \
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&& log_success "Portal started" \
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|| log_warning "Portal start failed"
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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
|