I posted the other day that you can clean up your object storage from CSAM using my AI-based tool. Many people expressed the wish to use it on their local file storage-based pict-rs. So I’ve just extended its functionality to allow exactly that.

The new lemmy_safety_local_storage.py will go through your pict-rs volume in the filesystem and scan each image for CSAM, and delete it. The requirements are

  • A linux account with read-write access to the volume files
  • A private key authentication for that account

As my main instance is using object storage, my testing is limited to my dev instance, and there it all looks OK to me. But do run it with --dry_run if you’re worried. You can delete lemmy_safety.db and rerun to enforce the delete after (method to utilize the --dry_run results coming soon)

PS: if you were using the object storage cleanup, that script has been renamed to lemmy_safety_object_storage.py

  • db0@lemmy.dbzer0.comOP
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    1 year ago

    You don’t need to move pict-rs to a GPU server. In fact that would be prohibitedly expensive long-term. I suggest you just use your PC to run this against your current pict-rs server, or just rent a GPU server for this time.

    • poVoq@slrpnk.net
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      1 year ago

      I have a server with a smaller Nvidia GPU available. I hope the 3GB vRAM it has will be sufficient.

      • db0@lemmy.dbzer0.comOP
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        1 year ago

        OK, but just to point out that the script hasn’t been setup to run locally yet. Just through ssh. Making it look for the files locally is my next to-do

        • poVoq@slrpnk.net
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          1 year ago

          Ah, I was already wondering why it would need SSH keys to scan local files 😅 Well, I only have time to look into this on Sunday I think, so no rush.

          • teawrecks
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            1 year ago

            You could always SSH into localhost I assume.

              • teawrecks
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                1 year ago

                Yeah, just meant it should be a valid workaround in the event they want to try it before your local scan feature is ready.