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Joined 11 months ago
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Cake day: December 25th, 2023

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  • Scipitie@lemmy.dbzer0.comtoScience Memes@mander.xyzRespect
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    2 hours ago

    Hypothesis: the message seems to imply that the cliche nature lover needs to trample and destroy said nature to be close to it.

    This seems the most likely explanation to me.

    And I find it neither funny nor insightful.

    Edit: I can’t manage to copy paste usernames on mobile but please check out the refinement by the comment to this post. Highly valuable edition. Tldr of it: not “nature lovers” in general but social media invasive nature lovers.



  • For me it’s very simple: NSFW can’t have a general acceptable definition because it depends on culture, background and personal beliefs. There is no way for a collection of communities to have a common definition and even if they would have: enforcement and interpretation is still done by volunteers.

    Therefore All is never safe for work unless I know that my tolerance is lower than all communities within lemmy AND I’m fine with an accidental penis or breast due to human error.


  • I don’t hate that much but I don’t watch him because of the shady selling business hr often does and apparent sponsored content which is not always disclosed (been a while but his channel misrepresented graphics cards benchmarks for example).

    It’s like the British yellow press for me: his face alone is enough to discredit the quality of the source. Could it be good? Sure! Will I ever find out? Not anymore.






  • According to their page it’s a pure searxng instance. I didn’t see anything on my own instance changing so there are three options I see:

    • The mentioned server side changes (e.g. A server move you mentioned but could also be server settings, provider settings, etc).
    • client side changes: somehow your Firefox provides different information to alter the results
    • subjective change: it’s always a possibility that either what you searched or your perception was more fine tuned to Cyrillic.

    And then there’s the obligatory “none or all of the above”.

    Personally I’d guess it’s just a fluke. I gave it a few searches from Firefox mobile on “all languages” and had a mix of mainly English and a bit of German und French in there as results.

    Edit: if you’re comfortable with that feel free to share some search terms and we can compare results. Would be curious myself!





  • I’d try chat gpt for that! :)

    But to give you a very brief rundown. If you have no experience in any of these aspects and are self learning you should expect a long rampup phase! Perhaps there is an easier route but I’m not familiar with it if there is.

    First, familiarize yourself with server setups. If you only want to host this you won’t have to go into the network details but it could become a cause for error at one point so be warned! The usual tip here is to get yourself familiar enough with docker that you can read and understand docker compose files. The de facto standard for self hosting are linux machines but I have read of people who used Macos and even windows successfully.

    One aspect quite unique to themodel landscape is the hardware requirements. As much as it hurts my nvidia despicing heart at this point in time they are the de facto monopolist. Get yourself a card with 12GB VRAM or more (everything below will be painful if you get things running at all. I’ve tried and pulled or smaller models on a 8GB card but experienced a lot of waiting time and crashes). Read a bit about Cuda on your chosen OS and what their drivers need.

    Once you can understand this whole port, container, path mapping and environment variable things.

    Then it’s going to the github page linked, following their guide and starting a container. Loading models is actually the easier part once you have the infrastructure running.


  • No offense intended, possible that I miss read your experience level:

    I hear a user asking developer questions. Either you go the route of using the publicly available services (dalle and Co) or you start digging into hosting the models yourself. The page you linked hosts trained models to use in your own contexts, not for a “click button and it works”.

    As a starting point for image generation self hosting I suggest https://github.com/AUTOMATIC1111/stable-diffusion-webui.

    For the training part, I’ll be very blunt: if you don’t indent to spend five to six digit sums on hardware or processing power, forget it. And even then you’d need the raw training data to pull it of.

    Perhaps what you want to do use fine tune a pretrained model, that’s something I only have a. It of experience in LLMs thohfn(and even there I don’t have the hardware to get beyond a personal proof of concept).