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Qwen Image 2.1

740 points · 199 comments · jmillikin

  1. fishfasell · · focus · HN ↗
    The capabilities of local LLM text-to-image is honestly pretty damn impressive. IMO, I think local image generation is currently ahead of local code generation. I can get an image in seconds locally with the quality being way higher than what I'd expect from a local model. However with coding it's much slower and much less impressive. I'm sure there's a reason for this and I'm not an AI expert so I'll let the smarter folks tell me why, but that's just been my observation thus far.
    1. victorbjorklund · · focus · HN ↗
      I mean I’m sure it’s the reverse for an artist. They would be less impressed with the image and more impressed with the code quality
      1. gedy · · focus · HN ↗
        To generalize, LLMs are great at what you are not skilled at.
        1. k__ · · focus · HN ↗
          That's how they're sold, isn't it?
          1. gedy · · focus · HN ↗
            Well, not exactly. Many, many companies and managers think that they can replace skilled people or have unskilled monitoring them.
      2. fishfasell · · focus · HN ↗
        That's a fair statement, I agree. I'm quite an abysmal artist so I could be a victim of my own bias here
      3. 26d0 · · focus · HN ↗
        The point I think is interesting is that this is just 7B. The current SOTA 7B LLMs are barely usable for quite simple coding.
        1. becquerel · · focus · HN ↗
          Text is in a sense way harder to do than images because of radical nonlocality. A word at the start of one paragraph can directly influence the meaning of a word five paragraphs away. Whereas images typically represent the real world, or at least a spatial domain, which gives you a lot of structure 'for free'. If you are drawing a human, you can make a reasonable guess where their hands go in relation to their face. If someone hands you the first half of an essay, finishing it is not trivial.
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