From f13fd8edc90d4cd0c1f42a6b1725e3782114d610 Mon Sep 17 00:00:00 2001
From: DevilaN <devilan@o2.pl>
Date: Mon, 26 Sep 2022 09:57:31 +0200
Subject: [PATCH] Docker compose override example file + .gitignore update

---
 .gitignore                       |  3 ++-
 docker-compose.override.yml-dist | 33 ++++++++++++++++++++++++++++++++
 2 files changed, 35 insertions(+), 1 deletion(-)
 create mode 100644 docker-compose.override.yml-dist

diff --git a/.gitignore b/.gitignore
index eec88c0..c693ed3 100644
--- a/.gitignore
+++ b/.gitignore
@@ -1,3 +1,4 @@
 /dev
 /.devcontainer
-embeddings/*
\ No newline at end of file
+embeddings/*
+/docker-compose.override.yml
diff --git a/docker-compose.override.yml-dist b/docker-compose.override.yml-dist
new file mode 100644
index 0000000..745b5a5
--- /dev/null
+++ b/docker-compose.override.yml-dist
@@ -0,0 +1,33 @@
+# docker-compose.override.yml distributed file
+# Here you can tweak configuration to your own needs
+#
+# Example override for specific services only
+# 1. Prepared labels to use it with traefik locally (easy https setup) on domains:
+#    * sd-hlky.localtest.me for hlky (points to 127.0.0.1)
+#    * sd-auto.localtest.me for auto (also domain points to 127.0.0.1)
+# 2. Overriden environment PYTORCH_CUDA_ALLOW_CONF for auto, to allow better memory fragmentation handling
+
+services:
+  hlky:
+    labels:
+      - "traefik.enable=true"
+      - "traefik.http.routers.local-sd-hlky.rule=Host(`sd-hlky.localtest.me`)"
+      - "traefik.http.routers.local-sd-hlky.entrypoints=websecure"
+      - "traefik.http.routers.local-sd-hlky.tls=true"
+      - "traefik.http.services.local-sd-hlky.loadbalancer.server.port=7860"
+    networks:
+      - traefik-public
+  automatic1111:
+    labels:
+      - "traefik.enable=true"
+      - "traefik.http.routers.local-sd-automatic.rule=Host(`sd-auto.localtest.me`)"
+      - "traefik.http.routers.local-sd-automatic.entrypoints=websecure"
+      - "traefik.http.routers.local-sd-automatic.tls=true"
+      - "traefik.http.services.local-sd-automatic.loadbalancer.server.port=7860"
+    networks:
+      - traefik-public
+    environment:
+      - PYTORCH_CUDA_ALLOC_CONF=max_split_size_mb:128
+networks:
+  traefik-public:
+    external: true