ai-stack: vendor the local-ai full AI stack as a new service

Vendor the functional source of github.com/outis1one/local-ai into
./ai-stack (22 files) and add services/ai-stack.sh, which copies the
source to ~/docker/ai-stack and hands off to the app's VRAM-aware
installer (local-ai-setup.sh). The stack bundles Ollama, Open WebUI,
RAG + MCP servers, ChromaDB, SearXNG, Kiwix, Gitea, InvokeAI, ComfyUI
and Portainer.

Cloud LLM providers (Groq/DeepInfra/OpenAI/OpenRouter) are optionally
wired into Open WebUI via the plural OPENAI_API_BASE_URLS list, with the
local RAG connection kept as the first entry so RAG keeps working. Open
WebUI ships built-in auth, so Caddy is configured without Authelia.

Excludes the upstream's two bundled copies of this very project
(ubuntu-post-install.sh, ubuntu-post-install-main.zip) — stale and
circular. Coexists with the existing ai-gpu service.

Also fix the install-function names for ai-gpu and ai-stack: the
dispatcher calls install_<raw-name>, so the function must be
install_ai-gpu / install_ai-stack (hyphen), matching the working
mail-archiver / wg-easy services. ai-gpu was previously uninstallable.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Nb2vJ8W7bHKx1JXVvpCraH

ai-stack/invokeai-import-lora.sh

@@ -0,0 +1,81 @@
+#!/usr/bin/env bash
+# Import a LoRA (.safetensors) file into InvokeAI's Docker volume
+# Usage: ./invokeai-import-lora.sh /path/to/my-lora.safetensors
+set -euo pipefail
+
+RED='\033[0;31m'; GREEN='\033[0;32m'; YELLOW='\033[1;33m'
+CYAN='\033[0;36m'; BOLD='\033[1m'; NC='\033[0m'
+
+if [[ $# -lt 1 ]]; then
+    echo -e "${BOLD}Usage:${NC} $0 <lora-file.safetensors> [display-name]"
+    echo ""
+    echo "  Copies a LoRA file into InvokeAI's model volume so it appears"
+    echo "  in the Model Manager automatically."
+    echo ""
+    echo "  Examples:"
+    echo "    $0 ~/Downloads/my-character-lora.safetensors"
+    echo "    $0 ~/Downloads/my-character-lora.safetensors \"My Character\""
+    exit 1
+fi
+
+LORA_FILE="$1"
+DISPLAY_NAME="${2:-$(basename "$LORA_FILE" .safetensors)}"
+
+# Validate file exists
+if [[ ! -f "$LORA_FILE" ]]; then
+    echo -e "${RED}Error:${NC} File not found: $LORA_FILE"
+    exit 1
+fi
+
+# Validate file extension
+if [[ "$LORA_FILE" != *.safetensors && "$LORA_FILE" != *.ckpt && "$LORA_FILE" != *.pt ]]; then
+    echo -e "${YELLOW}Warning:${NC} File doesn't have a typical LoRA extension (.safetensors, .ckpt, .pt)"
+    read -rp "Continue anyway? [y/N] " yn
+    [[ "$yn" != [yY]* ]] && exit 1
+fi
+
+# Check if InvokeAI container exists
+if ! docker ps -a --format '{{.Names}}' 2>/dev/null | grep -q '^invokeai$'; then
+    echo -e "${RED}Error:${NC} InvokeAI container not found. Is the AI stack running?"
+    echo "  Try: bash ~/docker/ai-stack/start.sh"
+    exit 1
+fi
+
+# Check if container is running
+if ! docker ps --format '{{.Names}}' 2>/dev/null | grep -q '^invokeai$'; then
+    echo -e "${YELLOW}InvokeAI container is stopped. Starting it...${NC}"
+    docker start invokeai
+    sleep 3
+fi
+
+FILENAME=$(basename "$LORA_FILE")
+
+echo -e "${CYAN}[..]${NC} Copying ${BOLD}$FILENAME${NC} into InvokeAI..."
+
+# Copy the LoRA file into the container's models directory
+# InvokeAI looks for LoRA files in /invokeai/models/lora/
+docker exec invokeai mkdir -p /invokeai/models/lora
+docker cp "$LORA_FILE" "invokeai:/invokeai/models/lora/$FILENAME"
+
+echo -e "${GREEN}[OK]${NC} LoRA file copied successfully!"
+echo ""
+echo -e "${BOLD}Next steps in InvokeAI (http://localhost:9090):${NC}"
+echo ""
+echo "  1. Open the ${BOLD}Model Manager${NC} (cube icon in the left sidebar)"
+echo "  2. Click ${BOLD}\"Scan for Models\"${NC} or ${BOLD}\"Sync Models\"${NC} button"
+echo "     - Your LoRA '${DISPLAY_NAME}' should appear in the list"
+echo "  3. If it doesn't auto-detect, click ${BOLD}\"Add Model\" > \"Scan Folder\"${NC}"
+echo "     and enter: ${BOLD}/invokeai/models/lora${NC}"
+echo ""
+echo -e "${BOLD}To use the LoRA when generating images:${NC}"
+echo ""
+echo "  1. Go to the ${BOLD}Text to Image${NC} or ${BOLD}Image to Image${NC} tab"
+echo "  2. In the left panel, find the ${BOLD}\"LoRA\"${NC} section"
+echo "     (expand it if collapsed — it's below the main model selector)"
+echo "  3. Click ${BOLD}\"+\"${NC} to add your LoRA from the dropdown"
+echo "  4. Adjust the ${BOLD}weight${NC} slider (start with 0.7–0.85)"
+echo "  5. Make sure your ${BOLD}base model${NC} matches what the LoRA was trained on"
+echo "     (e.g., if trained on SD 1.5, select a SD 1.5 checkpoint)"
+echo ""
+echo -e "${YELLOW}Tip:${NC} If the LoRA was trained on SD 1.5, you MUST use an SD 1.5"
+echo "     base model — it won't work with SDXL or other architectures."