Setup: Update compose.yaml config examples #5123

Related Documentation:
- https://github.com/photoprism/photoprism-docs/pull/203
- https://docs.photoprism.app/developer-guide/vision/caption-generation/

Signed-off-by: Michael Mayer <michael@photoprism.app>

compose.nvidia.yaml

@@ -147,10 +147,9 @@ services:
               capabilities: [gpu]
               count: "all"
 
-  ## Ollama Large Language Models
-  ## see https://ollama.com/search?c=vision
-  ## Before use, you must run the "ollama pull [name:version]"
-  ## command to download and install a model, for example:
+  ## Ollama AI Model Runner (optional)
+  ## Run "ollama pull [name]:[version]" to download a vision model
+  ## listed at <https://ollama.com/search?c=vision>, for example:
   ## docker compose exec ollama ollama pull qwen2.5vl:3b
   ollama:
     image: ollama/ollama:latest
@@ -164,7 +163,7 @@ services:
     # ports:
     #  - "11434:11434"
     environment:
-      ## Ollama server configuration
+      ## Ollama Configuration Options:
       OLLAMA_HOST: "0.0.0.0:11434"
       OLLAMA_MODELS: "/root/.ollama" # model storage path (see volumes section below)
       OLLAMA_MAX_QUEUE: "100"        # maximum number of queued requests

compose.yaml

@@ -227,10 +227,9 @@ services:
       OLLAMA_ENABLED: "true"
       OLLAMA_HOST: "http://ollama:11434"
 
-  ## Ollama Large Language Models
-  ## see https://ollama.com/search?c=vision
-  ## Before use, you must run the "ollama pull [name:version]"
-  ## command to download and install a model, for example:
+  ## Ollama AI Model Runner (optional)
+  ## Run "ollama pull [name]:[version]" to download a vision model
+  ## listed at <https://ollama.com/search?c=vision>, for example:
   ## docker compose exec ollama ollama pull qwen2.5vl:3b
   ollama:
     image: ollama/ollama:latest
@@ -244,7 +243,7 @@ services:
     # ports:
     #  - "11434:11434"
     environment:
-      ## Ollama server configuration
+      ## Ollama Configuration Options:
       OLLAMA_HOST: "0.0.0.0:11434"
       OLLAMA_MODELS: "/root/.ollama" # model storage path (see volumes section below)
       OLLAMA_MAX_QUEUE: "100"        # maximum number of queued requests
@@ -261,12 +260,12 @@ services:
       # OLLAMA_SCHED_SPREAD: "1"       # allows scheduling models across all GPUs.
       # OLLAMA_GPU_OVERHEAD: "0"       # reserves a portion of VRAM per GPU (bytes)
       # OLLAMA_INTEL_GPU: "1"          # enables experimental Intel GPU detection
-      ## NVIDIA GPU Hardware Acceleration (see https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/latest/install-guide.html):
+      ## NVIDIA GPU Hardware Acceleration (optional):
       # NVIDIA_VISIBLE_DEVICES: "all"
       # NVIDIA_DRIVER_CAPABILITIES: "compute,utility"
     volumes:
       - "./storage/ollama:/root/.ollama"
-    ## NVIDIA GPU Hardware Acceleration (see https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/latest/install-guide.html):
+    ## NVIDIA GPU Hardware Acceleration (optional):
     # deploy:
     #  resources:
     #    reservations:

setup/docker/arm64/compose.yaml

@@ -152,10 +152,9 @@ services:
       MARIADB_PASSWORD: "insecure"
       MARIADB_ROOT_PASSWORD: "insecure"
 
-  ## Ollama Large Language Models
-  ## see https://ollama.com/search?c=vision
-  ## Before use, you must run the "ollama pull [name:version]"
-  ## command to download and install a model, for example:
+  ## Ollama AI Model Runner (optional)
+  ## Run "ollama pull [name]:[version]" to download a vision model
+  ## listed at <https://ollama.com/search?c=vision>, for example:
   ## docker compose exec ollama ollama pull qwen2.5vl:3b
   ollama:
     image: ollama/ollama:latest
@@ -169,7 +168,7 @@ services:
     # ports:
     #  - "11434:11434"
     environment:
-      ## Ollama server configuration
+      ## Ollama Configuration Options:
       OLLAMA_HOST: "0.0.0.0:11434"
       OLLAMA_MODELS: "/root/.ollama" # model storage path (see volumes section below)
       OLLAMA_MAX_QUEUE: "100"        # maximum number of queued requests

setup/docker/compose.yaml

@@ -157,10 +157,9 @@ services:
       # MARIADB_REPLICATION_USER: ""
       # MARIADB_REPLICATION_PASSWORD: ""
 
-  ## Ollama Large Language Models
-  ## see https://ollama.com/search?c=vision
-  ## Before use, you must run the "ollama pull [name:version]"
-  ## command to download and install a model, for example:
+  ## Ollama AI Model Runner (optional)
+  ## Run "ollama pull [name]:[version]" to download a vision model
+  ## listed at <https://ollama.com/search?c=vision>, for example:
   ## docker compose exec ollama ollama pull qwen2.5vl:3b
   ollama:
     image: ollama/ollama:latest
@@ -174,7 +173,7 @@ services:
     # ports:
     #  - "11434:11434"
     environment:
-      ## Ollama server configuration
+      ## Ollama Configuration Options:
       OLLAMA_HOST: "0.0.0.0:11434"
       OLLAMA_MODELS: "/root/.ollama" # model storage path (see volumes section below)
       OLLAMA_MAX_QUEUE: "100"        # maximum number of queued requests

setup/docker/nvidia/compose.yaml

@@ -157,10 +157,9 @@ services:
       # MARIADB_REPLICATION_USER: ""
       # MARIADB_REPLICATION_PASSWORD: ""
 
-  ## Ollama Large Language Models
-  ## see https://ollama.com/search?c=vision
-  ## Before use, you must run the "ollama pull [name:version]"
-  ## command to download and install a model, for example:
+  ## Ollama AI Model Runner (optional)
+  ## Run "ollama pull [name]:[version]" to download a vision model
+  ## listed at <https://ollama.com/search?c=vision>, for example:
   ## docker compose exec ollama ollama pull qwen2.5vl:3b
   ollama:
     image: ollama/ollama:latest
@@ -174,7 +173,7 @@ services:
     # ports:
     #  - "11434:11434"
     environment:
-      ## Ollama server configuration
+      ## Ollama Configuration Options:
       OLLAMA_HOST: "0.0.0.0:11434"
       OLLAMA_MODELS: "/root/.ollama" # model storage path (see volumes section below)
       OLLAMA_MAX_QUEUE: "100"        # maximum number of queued requests