Files
transcoder/docker-compose.yml

90 lines
2.1 KiB
YAML

services:
tdarr:
container_name: tdarr
image: ghcr.io/haveagitgat/tdarr:latest
restart: unless-stopped
network_mode: bridge
ports:
- 8265:8265 # webUI port
- 8266:8266 # server port
environment:
- TZ=Europe/London
- PUID=${PUID}
- PGID=${PGID}
- UMASK_SET=002
- serverIP=0.0.0.0
- serverPort=8266
- webUIPort=8265
- internalNode=true
- inContainer=true
- ffmpegVersion=7
- nodeName=MyInternalNode
- auth=false
- openBrowser=true
- maxLogSizeMB=10
- cronPluginUpdate=
- NVIDIA_DRIVER_CAPABILITIES=all
- NVIDIA_VISIBLE_DEVICES=all
volumes:
- /docker/tdarr/server:/app/server
- /docker/tdarr/configs:/app/configs
- /docker/tdarr/logs:/app/logs
- /media:/media
- /transcode_cache:/temp
devices:
- /dev/dri:/dev/dri
deploy:
resources:
reservations:
devices:
- driver: nvidia
count: all
capabilities: [gpu]
# node example
tdarr-node:
container_name: tdarr-node
image: ghcr.io/haveagitgat/tdarr_node:latest
restart: unless-stopped
network_mode: service:tdarr
environment:
- TZ=Europe/London
- PUID=${PUID}
- PGID=${PGID}
- UMASK_SET=002
- nodeName=MyExternalNode
- serverIP=0.0.0.0
- serverPort=8266
- inContainer=true
- ffmpegVersion=7
- nodeType=mapped
- priority=-1
- cronPluginUpdate=
- apiKey=
- maxLogSizeMB=10
- pollInterval=2000
- startPaused=false
- transcodegpuWorkers=1
- transcodecpuWorkers=2
- healthcheckgpuWorkers=1
- healthcheckcpuWorkers=1
- NVIDIA_DRIVER_CAPABILITIES=all
- NVIDIA_VISIBLE_DEVICES=all
volumes:
- /docker/tdarr/configs:/app/configs
- /docker/tdarr/logs:/app/logs
- /media:/media
- /transcode_cache:/temp
devices:
- /dev/dri:/dev/dri
deploy:
resources:
reservations:
devices:
- driver: nvidia
count: all
capabilities: [gpu]