2024-09-05, 04:34 PM
Alright - So apologies because I'm pretty fresh when it comes to this so let me know if you need something else
I've got my media stored on a Synology D423+ with internal Intel Celeron CPU
- DSM 7.2.1
- 18gb of physical memory
- I did set up hardware acceleration when I installed the Jellyfin in container
Here's the YAML config:
services:
jellyfin:
#for specific image-> image: jellyfin/jellyfin:10.8.13
image: jellyfin/jellyfin:10.9.9
container_name: Jellyfin
environment:
#- PUID=0
#- PGID=0
- TZ=America/Los_Angeles
#- JELLYFIN_PublishedServerUrl=192.168.1.#
#note: change TZ to your timezone identifier: https://en.wikipedia.org/wiki/List_of_tz...time_zones
volumes:
- /volume1/docker/jellyfin/cache
cache:rw
- /volume1/docker/jellyfin/config
config:rw
- /volume1/movies/
movies:ro
- /volume1/tv
tv:ro
- /volume1/music
music:ro
#note: (:rw = read/write) & (:ro = read only)
devices:
- /dev/dri/renderD128
dev/dri/renderD128
- /dev/dri/card0
dev/dri/card0
#note: uncomment these lines in devices to allow for HWA to work on Synology units with an iGPU
ports:
- 8096:8096/tcp
#- <port-to-use>:8096/tcp
network_mode: bridge
#network_mode: host
restart: unless-stopped
I've got my media stored on a Synology D423+ with internal Intel Celeron CPU
- DSM 7.2.1
- 18gb of physical memory
- I did set up hardware acceleration when I installed the Jellyfin in container
Here's the YAML config:
services:
jellyfin:
#for specific image-> image: jellyfin/jellyfin:10.8.13
image: jellyfin/jellyfin:10.9.9
container_name: Jellyfin
environment:
#- PUID=0
#- PGID=0
- TZ=America/Los_Angeles
#- JELLYFIN_PublishedServerUrl=192.168.1.#
#note: change TZ to your timezone identifier: https://en.wikipedia.org/wiki/List_of_tz...time_zones
volumes:
- /volume1/docker/jellyfin/cache

- /volume1/docker/jellyfin/config

- /volume1/movies/

- /volume1/tv

- /volume1/music

#note: (:rw = read/write) & (:ro = read only)
devices:
- /dev/dri/renderD128

- /dev/dri/card0

#note: uncomment these lines in devices to allow for HWA to work on Synology units with an iGPU
ports:
- 8096:8096/tcp
#- <port-to-use>:8096/tcp
network_mode: bridge
#network_mode: host
restart: unless-stopped