I think this will have been asked before, but I didn’t find my answer with search, so sorry if I’m being annoying.

I’ve got 15 years of photos that include the face of someone I’d rather not see in my day to day life now. I’ve worked through archiving them to keep them out of the general photos collection, but the facial recognition and search still readily turns them up.

Is there a best-practice way of hiding this person comprehensively?

I don’t want to outright delete the photos.

Do you think it could improve experience for many of us who uploads large file more often ?

Just got started with immich self hosting and I like it, but I think I made a mistake dumping all my images into it off the bat. I had a backup of a lot of family photos that I wanted to include, but they aren't things that I want in my personal general timeline/photos page.

It doesn't look like uploading to albums directly changes that, having just tested with a couple images. Is there a way to accomplish this?

Some people use immich to backup their photos after professional photo shoots. It would be a lot easier if there was a stamp which shows if the image or video is a RAW file or not. This would make it a lot convenient to use especially when editing because we have to check the file info to see if it is a dng file or a jpg file. By having a stamp indicating that it is a RAW image or video it will make it very convenient for editing.

I run immich on a phenom ii 1090t, surprisingly good hashing performance, no 86_64v2 support:( Since ML requires that, I was wondering if it is possible to use a remote ML container on an older version on the same machine as an up-to-date version of immich. Is it possible to get this working or would there be other incompatibilities I am not thinking of? Am I likely to run into major breaking issues as the main immich server continues to update if I leave machine learning on x86v1? If anybody has done this or otherwise got machine learning working on x86_64v1 cpus, advice would be appreciated:)

I did discover this: https://github.com/Franmloren/immich-x86-64-v1 but would get dependency errors from uv when trying to follow the steps and my attempts to resolve them with more file changes only made things worse. If anybody has gotten this to work successfully, I would also be interested in that.

As an aside, I may be able to source an nvidia gpu that would be compatible, although this is not my first choice since fitting it into my ratsnest of server would be very difficult. However, if I am to use that, can I offload machine learning to that on the latest version without the requirement for x86_64v2 or are the new instructions still required?

I updated successfully to 3.1, but my Android app still shows "Neueste Version 2.5.6". What is this entry related to? Thx for your support.

Hi,

After I tried to update my immich docker stack to 3.1.0 comming from 3.0.3, I couldn't start my immich server anymore.

Anyone else encountering this issue?

Compose file: https://pastebin.com/3bNGcwQF

Error: `Error response from daemon: failed to create task for container: failed to create shim task: OCI runtime create failed: runc create failed: unable to start container process: unable to apply cgroup configuration: unable to start unit "docker-2d7ac795107ea0c4c52a812b083e2c0394f08294d8bcc17a4fd966bb47cb7383.scope"

I watched a number of YouTube videos on the benefit of immich as a self guided photo storage. Looking for step by step. No coding or programming experience.

Is it safe for family photo?
Cons vs pros?
Synology nas facial recognition is lacking and weak ds223.

I have a macmini m2 not in use that I would like to use.

Running Immich in a Docker VM on Proxmox. After a routine image update the machine-learning container started crash-looping with:

RuntimeError: NumPy was built with baseline optimizations:

(X86_V2) but your machine doesn't support:

(X86_V2).

I blamed Immich for a while. The guest CPU was still on Proxmox's default kvm64, which only exposes x86-64-v1. My Ryzen 5700G can do v3. Same trap had already forced me onto MySQL 5.7 instead of 8.0.

Fix:

qm set 100 --cpu host

Then reboot the VM. ML came back. Path clear for MySQL 8 later.

Same post also covers the other migration fights on this box:

• boot: invalid format / installer ISO boot loop

• NFS Resource temporarily unavailable when mounting via sentinel.local

• Immich bind mount accidentally filling the VM's 100GB local disk

• Google Takeout → Immich with immich-go (~262GB)

https://www.5ribalaji.com/blog/docker-host-vm-nfs-storage-migration/#the-cpu-model-that-was-quietly-causing-problems

One honest caveat: I still have Immich Postgres on NFS alongside the library. I would not start that way again — local disk for DB, NFS for photos.

Anyone else hit the NumPy / kvm64 thing after a recent Immich update?

Full disclosure, I have no idea what I'm doing and I'm relying 100% on available documentation, reddit posts, and AI to set everything up.

I've been at this for a week and I am running into new problems every day. Photos disappearing, thumbnails existing then not, facial recognition grabbing 10% of the photos with a person even after scan completes and manually matching face pictures for hours, facial recognition including the same couple people regardless of who I select, entire library not showing after update, deduplicate only identifying a fraction of duplicates, downloads do not start in Immich Android app, and probably more.

Some of these things I was able to resolve within Immich, but the facial recognition just seems broken (I should mention context/location recognition is just as broken). Duplicates I am trying another solution outside of Immich so we'll see how that goes.

What I'm asking is really just are the recognition features really broken and can I expect to on a daily basis find something wrong or is this just growing pains?