this post was submitted on 08 Jul 2025
105 points (97.3% liked)

Selfhosted

49411 readers
713 users here now

A place to share alternatives to popular online services that can be self-hosted without giving up privacy or locking you into a service you don't control.

Rules:

  1. Be civil: we're here to support and learn from one another. Insults won't be tolerated. Flame wars are frowned upon.

  2. No spam posting.

  3. Posts have to be centered around self-hosting. There are other communities for discussing hardware or home computing. If it's not obvious why your post topic revolves around selfhosting, please include details to make it clear.

  4. Don't duplicate the full text of your blog or github here. Just post the link for folks to click.

  5. Submission headline should match the article title (don’t cherry-pick information from the title to fit your agenda).

  6. No trolling.

Resources:

Any issues on the community? Report it using the report flag.

Questions? DM the mods!

founded 2 years ago
MODERATORS
ruud@lemmy.world
Loki@lemmy.world
CannaVet@lemmy.world
HybridSarcasm@lemmy.world
devve@lemmy.world
HybridSarcasm@lemmy.hybridsarcasm.xyz
105
PSA: If the first Smart Search in Immich takes a while (lemmy.ca)
submitted 4 days ago* (last edited 4 days ago) by avidamoeba@lemmy.ca to c/selfhosted@lemmy.world
42 comments fedilink hide all child comments
 

Your ML model cache volume is getting blown up during restart and the model is being re-downloaded during the first search post-restart. Either set it to a path somewhere on your storage, or ensure you're not blowing up the dynamic volume upon restart.

In my case I changed this:

  immich-machine-learning:
    ...
    volumes:
      - model-cache:/cache

To that:

  immich-machine-learning:
    ...
    volumes:
      - ./cache:/cache

I no longer have to wait uncomfortably long when I'm trying to show off Smart Search to a friend, or just need a meme pronto.

That'll be all.

you are viewing a single comment's thread
view the rest of the comments
[–] avidamoeba@lemmy.ca 1 points 3 days ago (4 children)

Let me know how the search performs once it's done. Speed of search, subjective quality, etc.

[–] Showroom7561@lemmy.ca 2 points 1 day ago (2 children)

OK, indexing finished some time yesterday and I ran a few searches like:

"Child wearing glasses indoors"

"Cars with no wheels"

"Woman riding a bike"

Results come up (immich on android) in three seconds.

But the quality of the results do appear to be considerably better with ViT-B-16-SigLIP2__webli compared to the default model.

I'm pretty happy. 👍

[–] avidamoeba@lemmy.ca 1 points 1 day ago* (last edited 1 day ago) (1 children)

Nice. So this model is perfectly usable by lower end x86 machines.

I discovered that the Android app shows results a bit slower than the web. The request doesn't reach Immich during the majority of the wait. I'm not sure why. When searching from the web app, the request is received by Immich immediately.

[–] Showroom7561@lemmy.ca 2 points 1 day ago

Interesting, it's slightly slower for me through the web interface both with a direct connect to my network, or when proxied through the internet. Still, we're talking seconds here, and the results are so accurate!

Immich has effectively replaced the (expensive) Windows software Excire Foto, which I was using for on-device contextual search because Synology Photos search just sucks. Excire isn't ideal to run from Linux because it has to be done through a VM, so I'm happy to self-host Immich and be able to use it even while out of the house.

load more comments (1 replies)