• Riskable@programming.dev
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    1 day ago

    Hard disagree. You just have to describe the shape and colors of the banana and maybe give it some dimensions. Here’s an example:

    A hyper-realistic studio photograph of a single, elongated organic object resting on a wooden surface. The object is curved into a gentle crescent arc and features a smooth, waxy, vibrant yellow skin. It has distinct longitudinal ridges running its length, giving it a soft-edged pentagonal cross-section. The bottom end tapers to a small, dark, organic nub, while the top end extends into a thick, fibrous, greenish-brown stalk that appears to have been cut from a larger cluster. The yellow surface has minute brown speckles indicating ripeness.
    

    It’s a lot of description but you’ve got 4096 tokens to play with so why not?

    Remember: AI is just a method for giving instructions to a computer. If you give it enough details, it can do the thing at least some of the time (also remember that at the heart of every gen AI model is a RNG).

    A terrible image of a banana generated by AI using a prompt that did not use the word banana

    Note: That was the first try and I didn’t even use the word “banana”.

      • Riskable@programming.dev
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        1 day ago

        It’s close enough. The key is that it’s not something that was just regurgitated based on a single keyword. It’s unique.

        I could’ve generated hundreds and I bet a few would look a lot more like a banana.

        • athatet@lemmy.zip
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          1 day ago

          But also how many bananas has that llm you’re using seen? You’re sure it’s zero?