Add docker-compose.yml for InvokeAI setup

docker-compose.yml

@@ -0,0 +1,68 @@
+# ~/docker/ai-image-gen/docker-compose.yml
+#
+# ═══════════════════════════════════════════════════════════════════════════════
+# USAGE
+# ═══════════════════════════════════════════════════════════════════════════════
+#
+# Managed by the ai-portal stack — use localai.mydomain.com to switch stacks.
+# To start manually:
+#   cd ~/docker/ai-image-gen && docker compose up -d
+#
+# InvokeAI → https://images.mydomain.com
+#
+# First model install:
+#   Open https://images.mydomain.com → Model Manager → search sd-1.5-inpainting → Install
+#
+# ═══════════════════════════════════════════════════════════════════════════════
+# UPDATES — run update.sh manually when you have a specific reason to update
+# ═══════════════════════════════════════════════════════════════════════════════
+#
+#   Good reasons to update:
+#     - A bug you're hitting is fixed
+#     - An extension you want requires a newer build
+#     - A security issue is announced
+#
+#   Bad reasons to update:
+#     - It's been a while
+#     - There's a newer version number
+#
+#   Run:  ./update.sh
+#
+# ═══════════════════════════════════════════════════════════════════════════════
+# ARCHIVING — run archive.sh after first successful boot
+# ═══════════════════════════════════════════════════════════════════════════════
+#
+#   chmod +x archive.sh && ./archive.sh
+#   Store archive/ and data/ on external drive for offline restore.
+#
+# InvokeAI → https://images.mydomain.com
+# ═══════════════════════════════════════════════════════════════════════════════
+
+services:
+
+  # ── InvokeAI ─────────────────────────────────────────────────────────────────
+  # Best canvas GUI for inpainting — Photoshop-style mask painting
+  # Pinned to v6.11.1 — avoids broken latest-tag issues
+  # To upgrade: change tag, run update.sh
+  invokeai:
+    image: ghcr.io/invoke-ai/invokeai:v6.11.1
+    pull_policy: missing
+    environment:
+      - INVOKEAI_ROOT=/invokeai
+      - INVOKEAI_ram=8           # GB of system RAM for model cache
+      - INVOKEAI_vram=3          # Turing Tensor Cores — give it VRAM to work with
+                                 # drop to 0 if you hit OOM errors
+      - INVOKEAI_precision=float16
+      - TZ=America/New_York
+    volumes:
+      - ./data/invokeai:/invokeai   # models, outputs, db, config all live here
+    ports:
+      - "9090:9090"
+    deploy:
+      resources:
+        reservations:
+          devices:
+            - driver: nvidia
+              count: 1
+              capabilities: [gpu]
+    restart: unless-stopped