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Joined 1 year ago
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Cake day: June 29th, 2023

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  • Is there any chance you’re at a kbbq or hotpot restaurant? Because then you get to cook the meal yourself, which is arguably chef-like.

    Jokes aside, I see the comparison you’re making and it’s not a bad one. I’d counter by giving the example of a menu - when you get to a restaurant you’re given a menu with text descriptions of the food you can receive from the kitchen. Since this is an analogy and not an exact comparison, let’s say that a meal on the menu is like the starting point of the workflow I described.

    Based on that you have an idea of what the output will be when you order - but let’s say you don’t like mushrooms and you prefer your sauce on the side. When you make your order you provide those modifications - this is like inpainting.

    Certainly you’re not a ‘chef’, but if the dish you design is both bespoke and previously unimaginable, I’d argue that at the very least you contributed to the creative process and participated in creating something new that matches your internal vision.

    Not exactly the same but I don’t think it’s entirely different.


  • Not OP but familiar enough with open source diffusion image generators to be able to chime in.

    Now I’d argue that being an artist comes down to being able to envision something in your mind’s eye and then reproduce it in the real world using some medium, whether it’s a graphite pencil, oil paint, a block of marble, Wacom tablet on a pc, or even through a negotiation with an AI model. Your definition might be different, but for the sake of conversation this is how I’m thinking about it.

    The work flow for an AI generated image can have a few steps before feeling like it sufficiently aligns with your vision. Prompting for specific details can be tricky, so usually step 1 is to generate the basic outline of the image you’re after. Depending on your GPU or cloud service, this could take several minutes or hours before you get a basis that you can work with. Once you have the basic image, you can then use inpainting tools to mask specific areas of the image and change specific details, colors, etc. This again can take many many generations before you land on something that sufficiently matches your vision.

    This is all also after you go through the process of reviewing and selecting one of the hundreds of models that have been trained specifically for different types of output. Want to generate anime-style art? There’s a model for that, want something great at landscapes? There’s a different one for that. Surely you can use an all-purpose model for everything, but some models simply don’t have the training to align to your vision, so you either choose to live with ‘close enough’ or you start downloading new options, comparing them with your existing work flow, etc.

    There’s certainly skill associated with the current state of image generation. Perhaps not the same level of practice you need to perfectly represent a transparent veil in graphite, but as with other formats I have a hard time suggesting that when someone represents their vision in the real world that it’s automatically “not art”.



  • Couldn’t agree more. IMO, the perfect talent is the kind you grow yourself.

    No number of interviews or tests will lead you to a magical perfect candidate 100% of the time, but those with less experience are great because they’re eager to accept a lower salary and will attack just about any problem you throw at them enthusiastically because every challenge is a new chance to prove their mettle.

    Obviously it takes time to build a program where mentorship is valued and more senior folks help to develop newer teammates, but if you want the highest quality talent, it’s hard to beat homegrown.