16 pointsby bblcla4 hours ago3 comments
  • busymom0an hour ago
    Couldn't you grab the image from the Wikipedia page of that location? For example searching for "Deadvlei" from the blog post gives this which has a photo:

    https://en.wikipedia.org/wiki/Deadvlei

  • dang26 minutes ago
    [stub for offtopicness]

    [sorry I messed up with that title! perils of not reading the articles closely]

    • npinskeran hour ago
      The headline (currently: “Trying to craft AI images that are worth displaying to end users”) is misleading and changed from the original. Author isn’t crafting any AI images; they’re using AI in tandem with manual work to help choose from a set of human-authored images.
      • dang29 minutes ago
        Ok! that was my attempt to avoid linkbait and make the title less provocative (submitted title was "How to design an AI app with a sense of taste"). But I missed the mark this time, so have reverted the title to the article's own headline, except I'm not going to keep the word 'beautiful' up there since that would be certain to provoke shallow objections.
    • MrZanderan hour ago
      The title on HN is incorrect/misleading, they are not generating AI images. They are hand curating a database of images by location and using an LLM to pick the pictures.
    • echelonan hour ago
      Speaking of "crafting", I think this is the perfect word to describe something more than "prompting".

      It's extremely hard to block out a scene with just words, eg. "rotate hand 45 degrees, stand perpendicular to the column, shadows from light source 60 degrees above horizon, large box in front of chest, approximately 2 feet wide", etc.

      Image-to-image, ControlNets, previz-to-final, etc. are the way to go, and I'm convinced this is the core interface for image and video creation. Text prompts will get you a coarse grained first approximation, which you then visually adjust to your exact needs with UI/UX-first models.

      I built an intentional "crafting" engine so people could mold images like clay, with full intention:

      https://github.com/storytold/artcraft

      This is really early days though. I expect more tools and models to enable you to fully manipulate everything first-class, in 2d/3d. As if everything in an image were mutable.

      As a film director, this is really exciting stuff.

    • tehjokeran hour ago
      I’m not sure it’s good idea to use AI for this purpose. When you’re talking about travel, you’re talking about a real place.

      If you show something photorealistic and AI generated, what is shown is simply an illusion.

      If you use a cartoon style maybe they can work because the user will immediately understand what is shown is not a photograph.

      • hayksaakianan hour ago
        the article doesn't talk about AI generating photos. it talks about using AI to interpret user queries into photo selections from photographers
        • nlukenan hour ago
          The post title here is extremely misleading. Per HN standards, the post should use the original title, "How to turn 'sfo-jfk' into a beautiful photo"
        • tehjoker25 minutes ago
          sorry i skimmed the post and confused myself then
  • kazinator2 hours ago
    [flagged]
    • dang2 hours ago
      "Please don't post shallow dismissals, especially of other people's work. A good critical comment teaches us something."

      https://news.ycombinator.com/newsguidelines.html

    • linkjuice4allan hour ago
      I realize dang has already tagged this (and I get it) but I don’t know who is actually benefiting from this. This is deceptive as it doesn’t represent a traveler’s actual/expected experience and just adds more slop to the pile. This is a case where you should pay actual photographers to take verified pictures of the places you are recommending people visit. Why would someone cheapen their brand like this?
      • properbrewan hour ago
        If you read the article you'll see it's not about generating AI slop images:

        > Take a freeform query (like ‘sfo->jfk’) and turn it into a ‘place’

        > Build a database of ‘places’ -> pictures

        > Build a software system that can take a ‘place’, look it up in a database and spit out the right picture – even if that ‘place’ isn’t in the database