Files
local-ai/setup-image-models.sh
T
Claude 8cc849290a Add GPU-aware image model detection and setup-image-models.sh
- Both setup scripts now detect VRAM and determine which image gen
  models the GPU can run (SD 1.5 at 4GB, SDXL at 8GB, Flux at 12-20GB)
- New setup-image-models.sh: interactive script that detects GPU,
  shows available models with VRAM requirements, and installs into
  InvokeAI and/or ComfyUI. Supports --auto for unattended install.
- Scales from 4GB cards through dual RTX 5000s to high-end 48GB cards
- README: added image gen VRAM tier table, expanded inpainting docs
  with practical fix recipes (hands, fingers, eyes, backgrounds),
  mask tips, and denoising strength guidance
- Setup end messages now show image gen capabilities and point to
  setup-image-models.sh instead of manual model install instructions

https://claude.ai/code/session_01PtYTPherSJaxDEVPgF6Nxu
2026-03-22 21:23:28 +00:00

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11 KiB
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Executable File

#!/usr/bin/env bash
# Detect GPU VRAM and install appropriate Stable Diffusion models for
# InvokeAI and/or ComfyUI. Run anytime — safe to re-run.
#
# Usage: ./setup-image-models.sh [--auto]
# --auto Skip prompts, install the recommended default for your GPU
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'
info() { echo -e "${CYAN}[..]${NC} $*"; }
ok() { echo -e "${GREEN}[OK]${NC} $*"; }
warn() { echo -e "${YELLOW}[!!]${NC} $*"; }
AUTO=false
[[ "${1:-}" == "--auto" ]] && AUTO=true
# ── Detect GPU ────────────────────────────────────────────────────────────────
VRAM_GB=$(nvidia-smi --query-gpu=memory.total --format=csv,noheader,nounits 2>/dev/null \
| head -1 | awk '{printf "%d", $1/1024}' 2>/dev/null || echo "0")
GPU_COUNT=$(nvidia-smi --query-gpu=name --format=csv,noheader 2>/dev/null | wc -l || echo "0")
GPU_NAME=$(nvidia-smi --query-gpu=name --format=csv,noheader 2>/dev/null | head -1 || echo "None")
TOTAL_VRAM=$((VRAM_GB * GPU_COUNT))
echo ""
echo -e "${BOLD}━━━ Image Generation Model Setup ━━━${NC}"
echo ""
info "GPU : $GPU_NAME"
[[ "$GPU_COUNT" -gt 1 ]] && info "GPU count : $GPU_COUNT"
info "VRAM/card : ${VRAM_GB}GB"
info "Total VRAM: ${TOTAL_VRAM}GB"
echo ""
# ── Determine which containers are available ──────────────────────────────────
HAS_INVOKEAI=false
HAS_COMFYUI=false
docker ps -a --format '{{.Names}}' 2>/dev/null | grep -q '^invokeai$' && HAS_INVOKEAI=true
docker ps -a --format '{{.Names}}' 2>/dev/null | grep -q '^comfyui$' && HAS_COMFYUI=true
if ! $HAS_INVOKEAI && ! $HAS_COMFYUI; then
echo -e "${RED}Error:${NC} Neither InvokeAI nor ComfyUI containers found."
echo " Run the setup script first to deploy the AI stack."
exit 1
fi
$HAS_INVOKEAI && info "InvokeAI : found"
$HAS_COMFYUI && info "ComfyUI : found"
echo ""
# ── Build model menu based on VRAM ────────────────────────────────────────────
# Model VRAM requirements (generation, not just loading):
# SD 1.5 ~4GB 512x512 native
# SDXL ~7GB 1024x1024 native
# SDXL Turbo ~7GB 512x512 (4-step)
# Flux.1-schnell ~12GB fast, high quality
# Flux.1-dev ~20GB best quality, slow
declare -a MODEL_IDS=()
declare -a MODEL_NAMES=()
declare -a MODEL_VRAM=()
declare -a MODEL_NOTES=()
add_model() {
MODEL_IDS+=("$1"); MODEL_NAMES+=("$2"); MODEL_VRAM+=("$3"); MODEL_NOTES+=("$4")
}
# Always offer SD 1.5 if any GPU exists
if [[ "$TOTAL_VRAM" -ge 4 ]]; then
add_model "sd15" "Stable Diffusion 1.5" "4" "512px native, most LoRA compatible, fast"
fi
if [[ "$TOTAL_VRAM" -ge 8 ]]; then
add_model "sdxl" "Stable Diffusion XL" "7" "1024px native, better quality, more detail"
add_model "sdxl-turbo" "SDXL Turbo" "7" "4-step generation, very fast, good quality"
fi
if [[ "$TOTAL_VRAM" -ge 12 ]]; then
add_model "flux-schnell" "Flux.1-schnell" "12" "fast Flux variant, excellent quality"
fi
if [[ "$TOTAL_VRAM" -ge 20 ]]; then
add_model "flux-dev" "Flux.1-dev" "20" "best quality, slower, needs lots of VRAM"
fi
if [[ ${#MODEL_IDS[@]} -eq 0 ]]; then
warn "No GPU with sufficient VRAM detected (need at least 4GB)."
warn "CPU-only image generation is extremely slow and not recommended."
exit 1
fi
# ── Determine default recommendation ─────────────────────────────────────────
if [[ "$TOTAL_VRAM" -ge 20 ]]; then DEFAULT_ID="flux-dev"
elif [[ "$TOTAL_VRAM" -ge 12 ]]; then DEFAULT_ID="sdxl"
elif [[ "$TOTAL_VRAM" -ge 8 ]]; then DEFAULT_ID="sdxl"
elif [[ "$TOTAL_VRAM" -ge 4 ]]; then DEFAULT_ID="sd15"
else DEFAULT_ID="sd15"
fi
echo -e "${BOLD}Available models for your ${TOTAL_VRAM}GB GPU:${NC}"
echo ""
for i in "${!MODEL_IDS[@]}"; do
DEFAULT_TAG=""
[[ "${MODEL_IDS[$i]}" == "$DEFAULT_ID" ]] && DEFAULT_TAG=" ${GREEN}← recommended${NC}"
printf " ${BOLD}%d)${NC} %-25s ~%sGB VRAM %s%b\n" \
$((i+1)) "${MODEL_NAMES[$i]}" "${MODEL_VRAM[$i]}" "${MODEL_NOTES[$i]}" "$DEFAULT_TAG"
done
echo ""
if $AUTO; then
SELECTED="$DEFAULT_ID"
info "Auto mode: installing $SELECTED"
else
echo -e " Enter number(s) separated by spaces, or press Enter for recommended."
echo -e " Example: ${BOLD}1 2${NC} to install both SD 1.5 and SDXL"
echo ""
read -rp " Selection [recommended]: " CHOICE
if [[ -z "$CHOICE" ]]; then
SELECTED="$DEFAULT_ID"
else
SELECTED=""
for num in $CHOICE; do
idx=$((num - 1))
if [[ $idx -ge 0 && $idx -lt ${#MODEL_IDS[@]} ]]; then
SELECTED+=" ${MODEL_IDS[$idx]}"
else
warn "Invalid selection: $num (skipping)"
fi
done
SELECTED="${SELECTED# }"
fi
fi
[[ -z "$SELECTED" ]] && { warn "No models selected."; exit 1; }
echo ""
info "Will install: $SELECTED"
echo ""
# ── HuggingFace model identifiers ────────────────────────────────────────────
declare -A HF_MODELS=(
[sd15]="stabilityai/stable-diffusion-v1-5"
[sdxl]="stabilityai/stable-diffusion-xl-base-1.0"
[sdxl-turbo]="stabilityai/sdxl-turbo"
[flux-schnell]="black-forest-labs/FLUX.1-schnell"
[flux-dev]="black-forest-labs/FLUX.1-dev"
)
declare -A MODEL_SIZES=(
[sd15]="~4GB"
[sdxl]="~7GB"
[sdxl-turbo]="~7GB"
[flux-schnell]="~12GB"
[flux-dev]="~24GB"
)
# ── Install into InvokeAI ────────────────────────────────────────────────────
if $HAS_INVOKEAI; then
echo -e "${BOLD}━━━ Installing into InvokeAI ━━━${NC}"
# Make sure container is running
if ! docker ps --format '{{.Names}}' | grep -q '^invokeai$'; then
info "Starting InvokeAI container..."
docker start invokeai
sleep 5
fi
for model_id in $SELECTED; do
hf_id="${HF_MODELS[$model_id]:-}"
[[ -z "$hf_id" ]] && { warn "Unknown model: $model_id"; continue; }
info "Installing $model_id (${MODEL_SIZES[$model_id]}) → ${hf_id}..."
info " This may take a while depending on your connection."
if docker exec invokeai invokeai-model-install --add "$hf_id" 2>&1; then
ok "$model_id installed in InvokeAI"
else
warn "$model_id install failed in InvokeAI — try manually via Model Manager at :9090"
fi
echo ""
done
fi
# ── Install into ComfyUI ─────────────────────────────────────────────────────
if $HAS_COMFYUI; then
echo -e "${BOLD}━━━ Installing into ComfyUI ━━━${NC}"
info "ComfyUI downloads models on first use via its UI."
info "To pre-download, use the ComfyUI Manager at http://localhost:8188"
echo ""
# Make sure container is running
if ! docker ps --format '{{.Names}}' | grep -q '^comfyui$'; then
info "Starting ComfyUI container..."
docker start comfyui
sleep 5
fi
# For ComfyUI, download checkpoints into the models volume
for model_id in $SELECTED; do
hf_id="${HF_MODELS[$model_id]:-}"
[[ -z "$hf_id" ]] && continue
# Check if model already exists
CKPT_DIR="/opt/ComfyUI/models/checkpoints"
if docker exec comfyui ls "$CKPT_DIR" 2>/dev/null | grep -qi "${model_id//-/_}"; then
ok "$model_id already present in ComfyUI"
continue
fi
info "Downloading $model_id for ComfyUI (${MODEL_SIZES[$model_id]})..."
info " Downloading from HuggingFace: $hf_id"
# Use ComfyUI's built-in download mechanism via python
case "$model_id" in
sd15)
docker exec comfyui bash -c \
"cd /opt/ComfyUI && python -c \"
from huggingface_hub import hf_hub_download
hf_hub_download('$hf_id', 'v1-5-pruned-emaonly.safetensors', local_dir='models/checkpoints')
\" 2>&1" && ok "$model_id downloaded for ComfyUI" \
|| warn "$model_id download failed — install via ComfyUI Manager UI"
;;
sdxl)
docker exec comfyui bash -c \
"cd /opt/ComfyUI && python -c \"
from huggingface_hub import hf_hub_download
hf_hub_download('$hf_id', 'sd_xl_base_1.0.safetensors', local_dir='models/checkpoints')
\" 2>&1" && ok "$model_id downloaded for ComfyUI" \
|| warn "$model_id download failed — install via ComfyUI Manager UI"
;;
*)
info "$model_id: use ComfyUI Manager to install (complex model structure)"
;;
esac
echo ""
done
fi
# ── Summary ───────────────────────────────────────────────────────────────────
echo ""
echo -e "${GREEN}${BOLD}━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━${NC}"
echo -e "${GREEN}${BOLD} Image model setup complete!${NC}"
echo -e "${GREEN}${BOLD}━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━${NC}"
echo ""
echo -e " ${BOLD}Your GPU:${NC} $GPU_NAME${TOTAL_VRAM}GB VRAM"
echo -e " ${BOLD}Installed:${NC} $SELECTED"
echo ""
$HAS_INVOKEAI && echo -e " ${CYAN}InvokeAI${NC} → http://localhost:9090"
$HAS_COMFYUI && echo -e " ${CYAN}ComfyUI${NC} → http://localhost:8188"
echo ""
if $HAS_INVOKEAI; then
echo -e " ${YELLOW}InvokeAI quick start:${NC}"
echo " 1. Open Model Manager → verify your model appears"
echo " 2. Go to Text to Image → select the model"
echo " 3. For inpainting: use the Unified Canvas tab"
echo " - Upload image → brush over the area to change"
echo " - Write what you want in that area → Invoke"
echo ""
fi
if $HAS_COMFYUI; then
echo -e " ${YELLOW}ComfyUI quick start:${NC}"
echo " 1. Open ComfyUI → load a basic txt2img workflow"
echo " 2. Select your checkpoint in the Load Checkpoint node"
echo " 3. For Open WebUI integration: enable Dev Mode → export API workflow"
echo ""
fi
echo -e " ${YELLOW}GPU sharing:${NC} Ollama and image gen share the GPU."
echo " Ollama auto-unloads models after 24h idle (KEEP_ALIVE=24h)."
echo " For immediate unload before heavy image gen:"
echo " docker exec ollama ollama stop <model-name>"
echo ""
echo -e " ${YELLOW}Import LoRAs:${NC} ./invokeai-import-lora.sh <file.safetensors>"
echo ""