Claude
c6576178b4
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
82 lines
3.3 KiB
Bash
Executable File
82 lines
3.3 KiB
Bash
Executable File
#!/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."
|